CN100409809C - Physical activity measuring system - Google Patents
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- CN100409809C CN100409809C CNB200510059057XA CN200510059057A CN100409809C CN 100409809 C CN100409809 C CN 100409809C CN B200510059057X A CNB200510059057X A CN B200510059057XA CN 200510059057 A CN200510059057 A CN 200510059057A CN 100409809 C CN100409809 C CN 100409809C
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- 230000037081 physical activity Effects 0.000 title claims abstract description 6
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Abstract
A physical activity measuring system analyzes analyzing body motions of a user to accurately determine the exercise intensity. The system includes a portable device which is adapted to be carried by the user and is equipped with a body sensor and an indicator for indication of the exercise intensity. The body sensor senses the user's body motions to give corresponding motion strength. The portable device has a processor which constitutes an exercise calculator which has a predetermined relationship between a default standard deviation of the motion strength and an exercise intensity scale. The exercise intensity calculator collects a time series data of the motion strengths within a predetermined first time frame, obtains a standard deviation of thus collected motion strengths, and converting the standard deviation into an instant exercise intensity within the intensity scale in accordance with the predetermined relationship. The standard deviation with regard to the motion strengths can be well concordant with the exercise intensity, and therefore gives the accurate exercise intensity on a real-time basis.
Description
Technical field
The present invention relates to a kind of physical activity measuring system, especially relate to a kind of complete (self-contained) portable system that carries by user, to provide the real time kinematics intensity of user body kinematics.
Background technology
The open text JP10-318779 of Japan Patent discloses a kind of exercise intensity progression storage facility, and this device uses a kind of body sensor, and it provides the signal of telecommunication of the body kinematics of expression user.Be to determine exercise intensity, this device comprises a processor, and it is converted into the step number of being carried out with body kinematics, with the amplitude that provides this signal of telecommunication and the combination of this step number.Then, this processor reference is the relation from obtaining between this combination and the exercise intensity scope, to obtain the exercise intensity in this scope corresponding to this combination at this.Yet such scheme provides the accurate exercise intensity of the body kinematics of representing user truly unsatisfactorily.
Summary of the invention
Consider above deficiency, the invention provides a kind of physical activity measuring system, this system can analyze the body kinematics of user to determine exercise intensity as far as possible exactly.Comprise a portable unit according to this system of the present invention, this device is suitable for user and carries and be equipped with the indicator that a body sensor and is used to indicate exercise intensity.This body sensor is constructed to respond to the body kinematics of user to provide corresponding motion strength (motion strength).This portable unit comprises a processor, and this processor is constructed to comprise a motion calculator, and it has the predetermined relationship between the default standard deviation of motion strength and an exercise intensity scope (exercise intensity scale).This exercise intensity computer is collected in the time series data of the motion strength in the first default period, obtain first standard deviation of the motion strength collect thus, and first standard deviation is converted into the instant exercise intensity of one in the strength range according to this predetermined relationship.Standard deviation and exercise intensity about this motion strength can fit like a glove, and therefore can provide this exercise intensity accurately in real time.
Preferably, this exercise intensity computer is constructed to be collected in another time series data of this motion strength in each continuous second period that is equal to or greater than this first period, with one second standard deviation of the motion strength of each second period of being collected thus.Then, according to this predetermined relationship, this second standard deviation of each second period is converted into the conventional exercise intensity in this scope.This processor also is constructed to comprise a motor analyzer, and the record set of its analytic routines exercise intensity is with the summation of second period of obtaining to relate to each conventional exercise intensity of distributing to for second period.After this, this motor analyzer provides a data set, and wherein conventional exercise intensity is relevant with the summation of second period.In this case, indicator is set to a display, with set of displayable data and instant exercise intensity.Therefore, user can be easy to the physical sport amount according to the time grasp oneself of exercise intensity and motion accumulative total.
This display can be designed as with relevant with the summation of the corresponding second period respectively form set of displayable data of all conventional exercise intensitys, so that user is confirmed motion result.
This system can be provided with a memorizer, and this memorizer is constructed to provide the historical data table of storage data collection per diem.Thus, this system comprises a paging device, and it is constructed to take out a data set for the selected date from historical memory, in order to show the data set of this taking-up on display.Therefore, the historical record that user can reference motion is to check the data on selected date.
And processor preferably includes an aerobatic exercise analyzer, and it has a predetermined strength threshold value of representing the aerobic threshold value.This aerobatic exercise analyzer compares conventional exercise intensity and intensity threshold, when conventional exercise intensity greater than intensity threshold, increasing a time value (time count), and send one during threshold value and finish signal when time value surpasses the scheduled time.Indicator is constructed to provide an indication of this state, responds this and finishes signal.Therefore, in case user be moved into aerobic state, this aerobatic exercise state of user can be informed by this system, but the therefore motion of auxiliary improvement user.
The aerobatic exercise analyzer can be configured to conventional exercise intensity and intensity threshold are compared, to obtain the summation of second period, should the routine exercise intensity in each second period greater than intensity threshold, thus, indicator is constructed to show the summation relevant with intensity threshold, thereby informs the aerobatic exercise amount of user in this time period.
For provide be easy to that user checks about aerobatic exercise statistic in time, this aerobatic exercise analyzer is designed to at least one exercise intensity in conventional exercise intensity and the instant exercise intensity and intensity threshold relatively, with increase time value up to conventional exercise intensity and immediately at least one exercise intensity described in the exercise intensity be lower than intensity threshold in each time zone of this day.The time value relevant with each time zone is stored, so that display shows the time value in each time zone.Therefore, aerobatic exercise amount can show in conjunction with the time zone of this day.
Intensity threshold can be in advance if change according to the health of user.And particularly preferred, this aerobatic exercise analyzer is configured to allow user to specify current exercise intensity in instant exercise intensity and the conventional exercise intensity as intensity threshold.Like this, this system can be more personalized, better reflects user individual's health.
And processor can be constructed to comprise basal metabolic rate calculating device, and its body data of handling user is to obtain the inherent basal metabolic rate of user [BMR]; With a heat exhaustion computer that obtains the heat exhaustion value, this heat exhaustion value is conventional exercise intensity, basal metabolic rate [BMR] and the function of the current time of this day.Like this, this heat exhaustion computer can be given to the heat exhaustion value of the motion that user carries out till the current time this day.Thus, this display is constructed to show thus obtained heat exhaustion value, checks to be easy to user.
This heat exhaustion computer can also be constructed to provide the heat exhaustion in each time zone of this day, so that display shows the heat exhaustion about each time zone, therefore is provided at this in a few days by the statistic of the heat exhaustion in time zone.
This system also comprises: the food data input device, and it is constructed to import the food data that user is taken in; And heat absorption computer, it is constructed to handle the food data of importing till the current time this day and takes in to provide a heat accumulative.In this case, this heat exhaustion computer is designed to obtain a current heat exhaustion value, and it is the function of the basal metabolic rate of the conventional exercise intensity done till the current time this day and user.This system also comprises a heat remaining sum computer, and so that a current heat remaining sum to be provided, promptly above-mentioned heat accumulative is taken in and deducted current heat exhaustion value.This system also comprises a life pattern analyzer and a life pattern reader.This life pattern analyzer has a plurality of standard life patterns, and described each life pattern is set this conventional exercise intensity in each time zone in a few days.This life pattern analyzer is by relatively analyzing this routine exercise intensity in each time zone with the standard life pattern, with the specific life pattern of pattern in the described specified value life pattern as user.Life pattern reader operation with current time of reading this day and with reference to specific life pattern therefrom taking out conventional exercise intensity, with its as remaining time this day each time zone estimate exercise intensity.Also comprise a heat exhaustion estimator in this system, its provide for finish remaining time this day estimate exercise intensity required one with the heat exhaustion of finishing, determine one thus with the heat remaining sum of finishing, it deducts this current heat remaining sum for this with the heat exhaustion of finishing.With the heat remaining sum of finishing, a suggestion maker produces this advisory information with the heat remaining sum finished of reflection, shows this advisory information on display according to this.Design like this, this system can take in or be referenced as the heat exhaustion value of compensation with the physical sport of the heat remaining sum finished with reference to the heat of food, and the planning chart of optimization is provided to user.
For making this portable unit is complexes, and still can realize above-mentioned graceful function, the processor of this portable unit preferably includes basal metabolic rate and calculates device, heat absorption computer, heat remaining sum computer, life pattern analyzer, life pattern reader, heat exhaustion estimator and suggestion maker.
Perhaps, this system can comprise a portable unit and a work station, and this work station is separated with this portable unit and can be intercomed mutually.In this case, the processor of this portable unit is constructed to preferably comprise that basal metabolic rate is calculated device, this heat is taken in computer, heat exhaustion computer, heat remaining sum computer, and comprise a communication interface, to transmit this routine exercise intensity and this current heat remaining sum to this work station.On the other hand, work station be constructed to have the life pattern analyzer, life pattern reader, heat exhaustion estimator and suggestion maker and a communication interface and the system clock of record current date and time.In this case, this suggestion maker transmits this advisory information by this communication interface, to show this information on the display of this portable unit.Because function sharing, this portable unit can be made compactlyer, and obtains to improve and useful motion analysis result.
This work station preferably is equipped with: a watch-dog; Provide a data storage of a tables of data, it stores the conventional exercise intensity in many days each time zone; One time limit indicator, it specifies a time limit that is limited by an initial date and a date of expiry; With a daily routines analyzer.This daily routines analyzer is selected one of them time zone, and determines to be included in a movable progression in the selected time zone of each day in the fixed time limit according to exercise intensity.Then, the daily routines analyzer obtain in this fixed time limit should activity progression variation, the movable joint in all one's life that produces the trend that indication obtains is thus played information, and this tendency information is sent with on the display that is presented at this work station.Be convenient to user and understand and keep the rhythm of life of oneself by paying close attention to food and physical sport planning chart.
For obtaining the trend of movable progression; this daily routines analyzer is collected the conventional exercise intensity that is included in the selected time zone of this day in this time limit, and a reference motion intensity is set at the meansigma methods of the collected conventional exercise intensity in this fixed time limit.Then; this daily routines analyzer with the conventional exercise intensity in the selected time zone of every day in the time limit and reference motion strength ratio; to obtain between the two a deviation per diem; and one of them movable progression is defined as deviation corresponding to such acquisition, and produces this trend in time limit of the movable progression of determining thus.
When this trend showed that this activity progression does not have significant change, this daily routines analyzer preferably produced one first rhythm of life information; When this trend showed that this activity progression tilts, this daily routines analyzer produced one second rhythm of life information; When this trend showed that this activity progression descends, this daily routines analyzer produced a three lives movable joint and plays information, and these rhythm of life information differ from one another, to the user information of offering help.
From below with reference to the accompanying drawing description of preferred embodiments, described and other superior feature of the present invention will become clearer.
Description of drawings
Fig. 1 is the axonometric chart according to a kind of portable unit of the formation one physical system for measuring amount of activity of one embodiment of the present invention;
Fig. 2 is the front view of this device;
Fig. 3 is the block diagram that shows the functional design of this device;
Fig. 4 is presented at the curve chart of acceleration signal processed in this device as user body kinematics indication;
Fig. 5 shows the coordinate diagram that concerns between the standard deviation of acceleration signal and the exercise intensity;
Fig. 6 to Fig. 8 shows the front view of the multiple display mode under the different operation modes of this device respectively;
Fig. 9 and Figure 10 show respectively at the curve chart that concerns between the acceleration that changes on anaerobic threshold value with different motion ability people acquisition and the y-axle;
Figure 11 is the block diagram that shows the functional design of a work station that can use together with this portable unit;
Figure 12 A, Figure 12 B and Figure 12 C are the coordinate diagram of exercise intensity ratio that shows the people of different life patterns respectively;
The selection page or leaf that the difference in the user motion that Figure 13 display system provides is selected between analyzing; With
Figure 14 to Figure 19 is the analysis result that provides according to the selection of Figure 13 page or leaf of display system respectively.
The specific embodiment
With reference to figure 1, it has shown a portable unit 10 that constitutes according to a physical system for measuring amount of activity of one embodiment of the present invention.This portable unit 10 is designed to and can be carried by user, and it comprises a housing 12, and this housing is associated with a body sensor 50 of the body kinematics that is used to respond to user.This housing 12 also comprises an indicator or display 20, and it is made up of a uplifting window 21, a dropping window 22, a progression indicator 23 and a lamp 24.Also be provided with button 31 to 36 in the front of housing 12,, and as described later, can also realize that this installs the switching between the multiple function with the input function of realization by user input data.As shown in Figure 4, this body sensor can realize that it all produces acceleration signal in three directions, i.e. a on x-axle, y-axle and the z-axle by a 3-axis acceleration sensor 50
x, a
yAnd a
z
One microprocessor or processor 60 and a memorizer 80 are also integrated with in this housing 12, and this processor 60 is responsible for carrying out multiple function, and this memorizer 80 stores by the necessary data of processor 60 references and the result who is provided by processor 60.As shown in Figure 3, this processor 60 comprises an exercise intensity computer 62, and this computer 62 is analyzed acceleration signal, to determine suitable exercise intensity according to metabolic equivalent [METs] by with reference to the acceleration-exercise intensity relation table 82 that is stored in the memorizer 80.This table 82 comprises parameter alpha and the β that determines exercise intensity (K) according to following equation:
K＝α·Sw+β(1)
Wherein Sw is acceleration a
x, a
yAnd a
zStandard deviation.That is, exercise intensity computer 62 is converted into corresponding exercise intensity (K) with standard deviation (Sw), as shown in Figure 5 according to the predetermined relationship of gained between the standard deviation (Sw) of acceleration and the exercise intensity.This figure provides a linear equation of being represented by Sw=aK+b, and this equation adopts coefficient R=0.92 to obtain by method of least square.Therefore, provide the standard deviation (Sw) of this acceleration after, just can determine exercise intensity by parameter alpha and β in the reference table 82.The standard deviation of acceleration (Sw) calculates by following equation:
Wherein, a
Xk, a
Yk, a
ZkBe respectively the k-th acceleration of x-axle, y-axle, z-axle, n is a sample number, and i is an integer, the time period of expression acceleration sampling.
The time acceleration meansigma methods later that equation (3), (4) and (5) expression are limited by integer i.In this embodiment, per minute acceleration sampling 1182 times, i.e. each second 19.7 times.
Thus, as shown in Figure 2, exercise intensity computer 62 is designed to calculate the instant exercise intensity (K1) in (T1) in first period of 10 seconds (time frame) for example, and calculates the conventional exercise intensity (K2) in second period (T2) of 60 seconds for example.As a result, average acceleration can change along with the variation of the time period from T1 to T2, and it causes standard deviation (Sw) to change, thereby parameter alpha and β change.Be the possible variation of compensation average acceleration, table 82 provides parameter alpha 1, β 1 and α 2, β 2, to determine instant exercise intensity (K1) and conventional exercise intensity (K2) by K1=α 1Sw (T1)+β 1 and K2=α 2Sw (T2)+β 2 respectively.In some cases, can make α 1=α 2 and β 1=β 2.
Thus, respectively according to determining instant exercise intensity (K1) and conventional exercise intensity (K2) from following equation (2-1) and the standard deviation S w (10) that (2-2) obtains and Sw (60).
Shown in Fig. 7 A, exercise intensity computer 62 constantly upgrades the instant exercise intensity (K1) [METs] that is stored in data buffer 88, and is presented in the uplifting window 21.Simultaneously, this computer 62 per 60 seconds i.e. second period (T2), obtains conventional exercise intensity (K2).That is, this computer 62 is collected (T2=60 second) time series data of acceleration in successive each second period, so that provide this routine exercise intensity in per 60 seconds, this routine exercise intensity is imported in the motor analyzer 63 that is arranged in the processor 60.
The record set (record set) of these motor analyzer 63 analytic routines exercise intensitys (K2), to provide a statistical number certificate, in this statistical data, the conventional exercise intensity (K2) that each calculates is relevant with total time, promptly the summation with corresponding second period is relevant, and a result data collection is provided, and this result data collection is stored in the data buffer 88, data set is presented in the dropping window 22 with graphical format like this, shown in Fig. 7 A.Motor analyzer 63 adds up one day 24 hours data set and makes zero when 0:00.
Although second period (T2) of She Dinging is greater than first period (T1) in this embodiment, also can sets second period (T2) and equal first period (T1).Here be noted that: data set was recorded with the current date and time that is provided by clock 67, and was transferred to the historical data table 83 that can make data set preservation a couple of days or several weeks from data buffer 88.Paging device (pager) 43, is presented in the dropping window 22 to be given in the data set of the data of picking out in this paging device formerly with reference to this historical data table 83.
In first analytical model, analyzer 64 obtains the summation of the quantity of second period (T2), in each second period, conventional exercise intensity (K2) is greater than intensity threshold (K2＞Kt), and be provided to the total time of the aerobic state that is obtained till the current time this day, shown in Fig. 7 B and 7C, total time and intensity threshold (Kt) show together.In this case, being represented as the digital value in the uplifting window 21 that is shown in Fig. 7 B total time respectively and being shown in a figure in the dropping window 22 of Fig. 7 B of intensity threshold (Kt=5.2METs) and 20 minutes, 20 minutes be shown in the uplifting window 21 of Fig. 7 C total time simultaneously as a digital value.The switching of display mode realizes by touching by arrow button 33 and 34 between Fig. 7 B and Fig. 7 C.And whenever conventional exercise intensity (K2) during greater than intensity threshold (Kt), analyzer 64 increases time values, and continues to increase time value and be lower than threshold value (Kt) up to exercise intensity (K2).Thus, time value that will the expression aerobic state persistent period compares with default time threshold (as 10,20 and 30 minutes), to have continued the amount of the Time Data Report aerobic state after 10 minutes according to aerobic state.That is, when aerobic state had continued 10 minutes, analyzer 64 provided a consequential signal, to light one first progression " 1 " of progression indicator 23, as shown in Figure 1.Equally, in case after finding that aerobic state has carried out 20 minutes and 30 minutes, light second progression " 2 " and the third level number " 3 " of indicator 23 respectively.Thus, user can be apprised of the aerobic state that is carried out in real time.And in case confirmed aerobic state, analyzer 64 sends a consequential signal, makes lamp 24 light and finish up to aerobic state.
Thus, also can use instant exercise intensity (K1) to provide time value simultaneously, i.e. the persistent period of aerobic state.In this case, analyzer 64 is configured to: when conventional exercise intensity (K2) surpasses threshold value (Kt) for the first time, the time value that analyzer 64 is set corresponding to second period (T2=1 minute), and increase time value is lower than a reduction up to instant exercise intensity (K1) threshold k tt (=0.9 * Kt).In case when finding that instant exercise intensity (K1) is lower than this threshold value (Ktt), analyzer 64 is reset to zero with time value.This scheme can provide a kind of more consistent aerobic state evaluation methodology.
In second analytical model, analyzer 64 obtains the summation of this second period (T2), in each second period, conventional exercise intensity (K2) is greater than intensity threshold (K2＞Kt), and the data set of the summation of second period in each time zone (for example per hour) of this day is provided.Data set is brought in constant renewal in being given to resulting data till the current time this day, and is shown in the dropping window 22, and like this, the showing with graphical format total time of the aerobic state in each time zone (i.e. each of this day hour) is shown in Fig. 8 A and 8B.The data set relevant with date and time is stored in the historical data table 83, can be for checking after the paging device 43.
Selectively, aerobatic exercise analyzer 64 can be substituted by an anaerobic exercise analyzer, and it is set to intensity threshold (Kt) is defined as an anaerobic threshold value.This anaerobic threshold value is the more dominant point of oxygen-free process or anaerobic state, and finds the acceleration a that this anaerobic threshold value and y-direction change
yDirect relation is arranged, and as Fig. 9 and shown in Figure 10, this figure illustrates different motion ability people's suction air capacity (i) respectively, a curve of approximation of (i) (ii) with on the y-direction changes linear acceleration (iii).In either case, the point (P) of anaerobic threshold value (being intensity threshold (Kt)) is corresponding to y-directional acceleration a
y0.25G.Therefore, the anaerobic exercise analyzer can be determined intensity threshold (Kt), and it equals at acceleration a
yResulting conventional exercise intensity (K2) when reaching 0.25G.
Get back to Fig. 3, processor 60 also has a pedometer 65, this pedometer 65 with reference to step threshold values (stepthreshold) (St) biosensor analysis from the acceleration a of pick off 50
x, a
yAnd a
zSynthetic, and when satisfying following inequality (6), count a step.
Wherein when Kt≤4, St is made as 1.2, otherwise is 1.5.
This synthesized in a second takes a sample 5 times, and ignores 4 step or the step numbers still less that measure in the time cycle in 5 initial seconds.The step number of being done till the current time this day of metering is presented in the last window 21 of Fig. 8 C like this.In addition, () step number promptly per hour is to provide the corresponding image of graphical format, in the dropping window 22 that is presented at Fig. 8 C, Fig. 8 D, Fig. 8 E and Fig. 8 F in this pedometer 65 each time zone of metering.When user is selected a concrete time zone (for example afternoon 1:00p.m.-1:59), as triangle pointer indication hour being that unit is presented at (Fig. 8 D) the bottom of dropping window 22, pedometer 65 has provided step number, in this case, " 206 " corresponding to selected time zone, and shows this digital value on uplifting window 21.The record set of the step number that obtains every day is stored in the historical data table 83, can be for checking after the paging device 43.
In addition, processor 60 comprises a heat exhaustion computer 66 and basal metabolic rate calculating device 61, to acquire the heat exhaustion that is produced by the physical exertion of user till the current time this day.It is the conventional exercise intensity that obtained and the function of the inherent basal metabolic rate of user that this heat exhaustion is confirmed as.
Basal metabolic rate [BMR] computer 61 receives the body data of age, sex and body weight (W) in the body data input part 41 that is input to this device, and provides the basal metabolic rate [BMR] of every day with reference to being stored in basal metabolic rate reference table 81 in the memorizer 80.This table 81 comprises the parameter of all ages and classes, sex and body weight (W), and is to calculate basal metabolic rate [BMR], as shown in the table.
| Age | The male | The women |
| 6-8 | 34.3×W+247 | 32.5×W+224 |
| 9-11 | 29.4×W+277 | 26.9×W+267 |
| 12-14 | 24.2×W+324 | 22.9×W+302 |
| 15-17 | 20.9×W+363 | 19.7×W+289 |
| 18-29 | 18.6×W+347 | 18.3×W+272 |
| 30-49 | 17.3×W+336 | 16.8×W+263 |
| 50-69 | 16.7×W+301 | 34.3×W+247 |
| 70- | 34.3×W+247 | 16.1×W+224 |
The metabolic index [BM] that the basal metabolic rate [BMR] that obtains is converted into the corresponding per minute that is complementary with conventional exercise intensity (K2) from table (BM=BMR/1440).
Heat exhaustion computer 66 calculates at first to obtain a motion heat exhaustion value (Ckm) according to following equation (7):
The W person's of being to use body weight wherein.
Then, to be confirmed as be that motion heat exhaustion value adds metabolic index (Cm=Ckm+BM) to the heat exhaustion value (Cm) of per minute.Thus, the per minute heat exhaustion value (Cm) that obtains is stored in data buffer 88 with current date and time, and treated being given to the heat exhaustion total value of current time this day, and provides the part heat consumption figures in each time zone.For example, heat exhaustion total value " 306kcal " is presented at (Fig. 8 E) in the uplifting window 21, and afternoon the 1:00-1:59 time zone part heat consumption figures " 96 kcal " be presented at (Fig. 8 F) in the uplifting window 21, this time zone as by triangle pointer indication hour being that unit is presented at the bottom of dropping window 22.In Fig. 8 E and Fig. 8 F, step number is shown in the dropping window 22 about time range with graphical format, and corresponding to the heat exhaustion value.Yet, also can show heat exhaustion value hourly with similar graphical format.
By at first touching, then touch the plurality of display modes of selecting as shown in Figure 7 and Figure 8 by " forward " button 34 or " backward " button 35 by " display mode " button 35.Provide " setting " button to import current date and time, " storage is called " button 32 is set simultaneously, show the record of the data of choosing formerly to start paging device 43.
This device also comprises: a food intake input part 42, and it imports feeding data by user; And, processor 60, it is constructed to comprise that a heat takes in computer 72, it handles given food data till the current time this day, to calculate the picked-up heat of accumulative total by the food in the reference memory 80-heat translation table 92.Thus, when food intake input part 42 received the value volume and range of product of food, heat was taken in computer 72 and is calculated corresponding heat, and and the heat addition formerly that may exist, obtain the picked-up heat of accumulative total thus.Like this, processor 60 also comprises a heat remaining sum computer 74, and its picked-up heat that provides accumulative total deducts current heat exhaustion value and the current heat remaining sum that obtains.Thus, add up to absorb heat and/or current heat remaining sum and be shown in uplifting window 21 according to asking (promptly touching) by " display mode " button 35.
Except having this portable unit of above-mentioned functions, this system can also utilize a workstation1 00, i.e. PC or computer server with the resource of the increase of better utilization work station, thereby provide more perfect analysis result or report to user.This device 10 and this workstation1 00 comprise personal communication interface 52 and 102 respectively, with in intercommunication to each other.In this case, device 10 is set to data set and the current heat remaining sum to the workstation1 00 conventional exercise intensity of transmission (K2).As shown in figure 11, except this communication interface 102, workstation1 00 comprises that also a microprocessor 110, a data storage 130, are used to import the input equipment and a watch-dog 140 of instruction.
Microprocessor 110 is constructed to provide a data reader 111, and it reads the data set and the current heat remaining sum of conventional exercise intensity (K2), it is deposited in the user tables of data 131 in the data storage 130.This user tables of data 131 is arranged to and comprises the personal identification number of the discerning user conventional exercise intensity (K2) relevant with personal identification number with storage and the form of current heat remaining sum.Life pattern analyzer 112 in can the standard life pattern table 132 from data storage 130 in microprocessor 110 provides multiple different standard life pattern.Each different standard life pattern defines the standard movement intensity of (as per hour) of each time zone in a day, shown in Figure 12 A, Figure 12 B and Figure 12 C.In these figure, show the exercise intensity ratio with the bar diagram form in time zone per hour.Each intensity that this exercise intensity ratio is a time period with respect to all exercise intensitys of whole time ratio.That is, be divided into a plurality of time bands, the time span of the corresponding exercise intensity of each time band representative carrying out corresponding to each bar hourly.For this reason, device 10 conventional exercise intensity (K2) consolidations of calculating and be divided into 8 grades.Draw out these figure at people with various criterion life pattern, for example, at the clerk's of working by train figure (Figure 12 A) with at the clerk (Figure 12 B) of bike to work, and other figure at full-time housewife (Figure 12 C).
Wherein, Δ P=P1-P2, P1 is the standard means at the exercise intensity ratio in each time zone for each standard life pattern, P2 is the meansigma methods at the exercise intensity ratio in each corresponding time zone that is obtained at the conventional exercise intensity (K2) with respect to user, and n is the hourage in each time zone.Then, analyzer 112 selections one provide the standard life pattern of minimum variable (V) and are set and are specific life pattern.According to the specific life pattern of setting thus, a life pattern reader 113 that is provided by microprocessor 110 reads current time of this day by system clock 119, from table 132, take out and distribute to the standard movement intensity in remaining each time zone of this day, and the conventional exercise intensity that will take out thus is defined as and estimates exercise intensity.Result data is inputed to heat exhaustion estimator 114, this estimator 114 correspondingly calculates estimates required (forthcoming) heat exhaustion value that will finish of exercise intensity for remaining time this day, and calculate one with the heat remaining sum of finishing, it is that this deducts the heat exhaustion of finishing from the current heat remaining sum of this portable unit 10 outputs.
This can be the heat remaining sum of finishing on the occasion of also can be negative value, and this heat remaining sum is transferred to a suggestion maker 115 subsequently, and it produces in order to reflect this advisory information with the heat remaining sum finished.This advisory information and this are transferred to this portable unit 10 together with the remaining sum of finishing, being presented on the display 20, in order to inform this information of user and with the heat remaining sum of finishing.In case need, can realize above-mentioned functions in the side of device 10.For producing advisory information, this advises the advisory information table 135 in maker 115 reference data bins 130, and from wherein taking out and this appropriate predetermined advisory information that heat remaining sum of finishing is conformed to.The data that spread out of from workstation1 00 temporarily are stored in data buffer 88, can take out in one day random time.
Although in Fig. 3, do not show, but the processor 60 of portable unit 10 can be constructed to comprise a supplementary module, this supplementary module provides an auxiliary routine, in order to the positive and negative type of respectively selecting type of food and motion of prompting user according to the heat remaining sum that will finish.The type of food and motion is stored in the memorizer 80 relevant with its heat exhaustion value, and when user was selected a concrete food, supplementary module calculated the intake of this food or is used for the movement time and the intensity of compensationbalances like this.
Also with reference to Figure 11, microprocessor 110 comprises a Report Builder 116, a motion reader 117 and a daily routines analyzer 118, in order to prepare to be presented at the various concrete report on the watch-dog 140.This report maker 116 provides the selection page or leaf 200 as a form shown in Figure 13, its optionally graphic table illustrate: the conventional exercise intensity (K2), rhythm of life evaluation and the Health ﹠ Fitness Tip that have converted the time period of selecting to.
When selecting in the page or leaf 200, during the pictorial representation of selector button 210, according to the predetermined type of in frame 212, selecting, motion reader 117 responds the chart with the preparation conventional exercise intensity (K2) that changes with time period of selecting one of every day as shown in figure 14 thereupon, the chart of the conventional exercise intensity ratio that the preparation selected time period with this day as shown in figure 15 changes, and preparation as shown in figure 16 select the chart of conventional exercise intensity ratio in each time zone on date at this.In the specified time period of date entry box 211 places, motion reader 117 provides corresponding data by current date like this.This motion reader 117 is collected data set and is handled this data set to show the page or leaf 214 of Figure 14 from user collection table 131, and this page 214 drawn the chart of the conventional exercise intensity (K2) of every day.On page or leaf 214, data per diem show and can 216 make the data scroll forward and backward by call-on button option date, to be presented at the data of the target date in this time period.Motion reader 117 also is constructed to provide with graphical format the step number in each time zone, and by selecting corresponding input part 215 to be presented on the page or leaf 214 of Figure 14.Figure 15 shown by motion reader 117 preparation and also based on the page or leaf 214A of the data set of user tables of data 131, in order to be presented at the figure in this time period of selecting for each exercise intensity ratio hourly of selected day.Motion reader 117 also is constructed to show the line diagram of heat exhaustion amount hourly and the line diagram of the per hour step number that per diem shows.These line diagrams selectively are presented on the same page.
Figure 16 has shown another page 214B by motion reader 117 preparation, is used to show the figure of the exercise intensity ratio in the exercise intensity ratio of every day and each time zone, and this time zone forms dividing a life day according to the movable progression of user.This system provides a plurality of can determine the time zone (Figure 11) that limits in the input part 103 by user in a time zone.For example, these time zones can be limited by the mode shown in the following table.
This graphic designs is the exercise intensity ratio in indication every day and each time zone, preferably can give different exercise intensitys with different colors.Here note: this system can allow user to limit the scope in the quantity in time zone and each time zone to strengthen motility.The time zone of Xian Dinging is stored in the user tables of data 131 thus, so that take as required.
When button 220 places in selecting page or leaf 200 select rhythm of life to estimate; daily routines analyzer 118 is collected data sets at the time period of selecting from user tables of data 131 in date entry box 221,222 and 223, with the daily life rhythm of estimating user and provide by user selected by week or the report of result monthly.When selecting weekly to accuse, analyzer 118 is handled these data obtaining the heat exhaustion of total exercise intensity and every day, and provides respective graphical as shown in figure 17 in page or leaf 224.In this case, only collect the conventional exercise intensity (K2) that is higher than a predeterminated level (for example intensity threshold (Kt)), providing the movement time that produces collected exercise intensity, thereby show the bar diagram that obtains thus for the ratio of every day in the selected time period with respect to the ratio of the total time of this day.
When selecting monthly magazine to accuse, analyzer 118 is handled these data plot mean (daily time zone average) when providing every day of the exercise intensity (K2) for each time zone, and provides corresponding line diagram as shown in figure 18.Plot mean obtains by following equation (9) and (10) during for every day in each time zone,
Ah
k＝∑(K2)/60(9)
∑Ap
i＝∑(Ah
k)/n(10)
∑ Ah wherein
kBe in each time zone of every day, the hourly average value of the conventional exercise intensity (K2) that per minute obtains, ∑ Ap
iBe the time plot mean of the exercise intensity in each time zone, n is the hourage in this time zone.
Therefore, the figure of Figure 18 provides the rhythm of life in each time zone in reaching about month.
When selecting Health ﹠ Fitness Tip on the page or leaf 200 in Figure 13; daily routines analyzer 118 is handled these data; to pass through mode, obtain reference meansigma methods (Ravg) about the exercise intensity in each time zone in this time period of selecting in conjunction with the following equation (11) of above-mentioned equation (9) and (10).
Ravg＝∑Ap
i/N(11)
Wherein N is the natural law that is included in this time period of selecting.According to resulting reference meansigma methods (Ravg) at each time zone, analyzer 118 is specified a specific time zone that shows the peak exercise of user, and obtains the reference meansigma methods (Ravg) in this specific time zone.Plot mean (Tzavg) [TZavg=∑ (Ah when simultaneously, analyzer 118 obtains relating to every day of exercise intensity in this specific time zone that is included in the every day in this time period of selecting
k)/n].During subsequently with every day plot mean (Tzavg) with compare with reference to meansigma methods (Ravg), with by use following equation (12) to obtain between the two deviation (Δ Div) for the specific time zone that relates to every day in this time period of selecting.
ΔDiv＝(TZavg-Ravg)/Ravg(12)
The deviation that is obtained (Δ Div) compares with the preassigned that is stored in the evaluation table 138, to provide the corresponding evaluating of every day.The standard of table 138 is as shown in the table:
| Deviation delta Div | Evaluating | Information |
| ΔDiv＜-0.3 | -2 | Exercise intensity is very low |
| -0.3≤ΔDiv＜-0.1 | -1 | Exercise intensity is low |
| -0.1≤ΔDiv＜+0.1 | 0 | Exercise intensity is normal |
| +0.1≤ΔDiv＜+0.3 | 1 | The exercise intensity height |
| +0.3≤ |
2 | Exercise intensity is very high |
Then, analyzer 118 takes out corresponding information from table 138, in order to be presented at the information of every day in this time period of selecting.
And analyzer 118 is collected the sequential of evaluatings, providing its trend curve that is used to estimate rhythm of life, and takes out corresponding analytical information from rhythm of life analytical information table 139.For example, this table 139 comprises three kinds of different Back ground Informations: the first information, and it is corresponding to evaluation result that can't see significant change from trend curve; Second information, it descends corresponding to trend curve; With the 3rd information, it tilts corresponding to trend curve.Rhythm of life analytical information 235 is presented on the watch-dog 140, as shown in figure 19 together in conjunction with the figure that relates to conventional exercise intensity (K2) and heat exhaustion value.This chart comprises a bar diagram, and it is at the every day in the time period of selecting, and provides total time or examines to such an extent that conventional exercise intensity (K2) surpasses time of this predetermined progression (Kt).Line diagram among the figure is presented at the heat exhaustion value of every day in the time period of selecting.
And; analyzer 118 is set to obtain the similar deviation delta Div at each time zone; to estimate the exercise intensity in each time zone; thereby by the relatively activity in each time zone; the detailed assessment daily routines; and the labor information about this specific time zone is provided, and this specific time zone is compared with meansigma methods has significant variation.According to this evaluation result, from the data that are stored in table 139, select detail analysis information 236, and as shown in figure 19, with the demonstration that combines of above-mentioned Back ground Information.
Although the evaluation of rhythm of life is to determine based on the deviation delta Div of above-mentioned qualification, the variation that can rely on mean motion intensity equally is to provide similar evaluating.
In above-mentioned schematic embodiment, be provided with the workstation1 00 that is independent of this portable unit 10, with by utilizing the inherent abundant disposal ability of work station, provide detail analysis and suggestion with report form intuitively.Yet one or more functions of workstation1 00 can be incorporated in the portable unit 10, and like this, this portable unit self just can be realized above-mentioned one or more functions.When portable unit is set to combine with portable phone with powerful disposal ability or PDA(Personal Digital Assistant) device, this design advantageous particularly.In this case, can utilize the camera that is included in portable phone or the PDA device, with the kind of input dietary intake as input equipment or barcode reader.
Yet when using workstation1 00 in conjunction with portable unit 10, this work station can be a remote service computer, and it is controlled by the special use connection, and is connected to this device by public's computer network.In this case, work station or remote service computer can be connected with the personal computer of user, so that also provide report to personal computer.And the remote service computer also can be connected with the computer of mechanism (as the leisure club or the weight reducing center of user participation).For example, analysis report and data are received from work station in leisure club and weight reducing center, so that suitable leisure plan and suitable weight reducing suggestion to be provided respectively to user.
Claims (16)
1. physical activity measuring system comprises:
One portable unit (10), it is configured by user and carries, and comprises a processor (60);
One indicator (20), it is installed on this portable unit;
One body sensor (50), it is supported and is constructed to respond to the 3-axis acceleration sensor of the body kinematics of user by this portable unit, to produce acceleration signal a in x-axle, y-axle and three directions of z-axle
x, a
yAnd a
z, described acceleration signal provides motion strength;
This processor (60) is constructed to comprise:
One exercise intensity computer (62), it has the default standard deviation of this motion strength and the predetermined relationship between the exercise intensity scope, this exercise intensity computer is collected in the time series data of the motion strength in the one first predetermined period (T1), obtain one first standard deviation of the motion strength of collection thus, and according to this predetermined relationship this first standard deviation is converted into the instant exercise intensity of one in the described strength range (K), it is acceleration signal a that this predetermined relationship defines described instant exercise intensity (K)
x, a
yAnd a
zThe function of described standard deviation;
This indicator is constructed to this instant exercise intensity of indication.
2. the system as claimed in claim 1, wherein:
This exercise intensity computer (62) is constructed to be collected in another time series data of the motion strength in each continuous second period (T2) that is equal to or greater than this first period, one second standard deviation that obtains to collect thus for the motion strength of described each second period, and this second standard deviation is converted into the conventional exercise intensity for described each second period in this strength range according to this predetermined relationship;
This processor is constructed to have a motor analyzer (63), this motor analyzer (63) is analyzed the record set of this routine exercise intensity, summation with this second period of obtaining relevant described each conventional exercise intensity of distributing to this second period, and a data set is provided, and the summation of wherein said each conventional exercise intensity and this second period is relevant;
This indicator is a display, and it is constructed to show this data set and this instant exercise intensity.
3. system as claimed in claim 2, wherein:
This display (20) is constructed to show this data set with described each conventional exercise intensity form relevant with the summation of this second period.
4. system as claimed in claim 2 also comprises:
One memorizer (80), it is constructed to provide a historical data table (83) that per diem stores this data set; With
One paging device (43), it is constructed to take out this data set of choosing this data set on date and show taking-up at this display for one from this memorizer.
5. system as claimed in claim 2, wherein:
This processor (60) is constructed to comprise:
One aerobatic exercise analyzer (64), it has a predetermined strength threshold value, should the routine exercise intensity and this intensity threshold relatively, should the routine exercise intensity during with box lunch greater than this intensity threshold, increase by one time time value, and when this time value greater than scheduled time during threshold value, send one and finish signal;
This indicator is constructed to provide an index signal of this state, responds this and finishes signal.
6. system as claimed in claim 2, wherein:
This processor (60) is constructed to comprise:
One aerobatic exercise analyzer (64), it has a predetermined strength threshold value, should the routine exercise intensity and this intensity threshold relatively, to obtain the summation of this second period quantity, in described each second period, this routine exercise intensity is greater than this intensity threshold;
This indicator is constructed to show this summation relevant with this intensity threshold.
7. system as claimed in claim 2, wherein:
This processor (60) is constructed to have:
One aerobatic exercise analyzer (64), it has a predetermined strength threshold value, this aerobatic exercise analyzer should the routine exercise intensity and this instant exercise intensity at least one exercise intensity and the comparison of this intensity threshold, increasing this threshold value in each time zone that time value described at least one exercise intensity in this routine exercise intensity and this instant exercise intensity is lower than this day, and store this time value in described each relevant time zone;
This display (20) is constructed to show this time value in described each time zone.
8. as each described system in the claim 5 to 7, wherein:
This aerobatic exercise analyzer (64) is constructed to specify a current exercise intensity in this instant exercise intensity and this routine exercise intensity as this intensity threshold.
9. system as claimed in claim 2, wherein:
This processor (60) is constructed to comprise:
Write down the clock of current date and time;
One basal metabolic rate is calculated device (61), and it handles the body data of this user, to obtain the inherent basal metabolic rate of this user; With
One heat exhaustion computer (66), it obtains a heat exhaustion value, and it is this routine exercise intensity, this basal metabolic rate and the function of the current time of this day;
This display (20) is constructed to show this heat exhaustion value on this display.
10. system as claimed in claim 9, wherein:
This heat exhaustion computer (66) is constructed to provide this heat exhaustion value at each time zone of this day; And this display (20) is constructed to show this heat exhaustion value relevant with described each time zone.
11. system as claimed in claim 2 also comprises:
One basal metabolic rate is calculated device (61), and it is constructed to handle the body data of this user, to obtain the inherent basal metabolic rate of this user;
Food data input device (42), it is constructed to import the food data that this user is taken in;
One writes down the clock of current date and time;
One heat is taken in computer (72), and it is constructed to handle these food data of importing till the current time of this day, takes in to provide a heat accumulative;
One heat exhaustion computer (66), it is constructed to obtain a current heat exhaustion value, and it is this routine exercise intensity done till this current time of this day and the function of this basal metabolic rate;
One heat remaining sum computer (74), it is constructed to provide a current heat remaining sum, and it is taken in for this heat accumulative and deducts this current heat exhaustion value;
One life pattern analyzer (112), it is constructed to have a plurality of standard life patterns, described life pattern all is limited with a standard movement intensity in each time zone in a day, this life pattern analyzer by with this routine exercise intensity of relatively analyzing described each time zone of this standard life pattern, to specify one of them the specific life pattern in the described standard life pattern as this user
One life pattern reader (113), it is constructed to the current time of reading this day and takes out this standard movement intensity from this specific life pattern and estimate exercise intensity as one of each time zone that relates to remaining time this day;
One heat exhaustion estimator (114), its be constructed to calculate at remaining time this day for realize this estimate exercise intensity required one with the heat exhaustion value of finishing, thereby determine one with the heat remaining sum of finishing, it deducts this current heat remaining sum for this with the heat exhaustion value of finishing; With
One suggestion maker (115), it produces this advisory information with the heat remaining sum finished of reaction, shows this advisory information on this display.
12. system as claimed in claim 11, wherein:
This processor (60) is constructed to have this basal metabolic rate and calculates device, this heat absorption computer, this heat remaining sum computer, this life pattern analyzer, this life pattern reader, this heat exhaustion estimator and this suggestion maker.
13. system as claimed in claim 11 also comprises:
One work station (100), it separates setting with this portable unit (10), and this work station is used for and this portable unit intercommunication;
This processor of this portable unit is constructed to comprise:
This basal metabolic rate is calculated device (61);
This heat is taken in computer (72);
This heat exhaustion computer (66);
This heat remaining sum computer (74); With
One communication interface (52) is in order to transmit this routine exercise intensity and this current heat remaining sum to this work station;
This work station (100) comprising:
One communication interface (102) is in order to receive this routine exercise intensity and this heat remaining sum from this processor;
This life pattern analyzer (112);
One system clock (119), it writes down current date and time;
This life pattern reader (113);
This heat exhaustion estimator (114); With
This advises maker (115), and it transmits this advisory information by this communication interface, to show this advisory information on this display of this portable unit.
14. system as claimed in claim 13, wherein:
This work station (100) also comprises:
One watch-dog (140);
One data storage (130), it is constructed to provide a tables of data, and its storage is at this routine exercise intensity in described each time zone of many days;
One time limit indicator, it specifies a time limit that is limited by an initial date and a date of expiry;
One daily routines analyzer (118); it selects one of them time zone; and based on this routine exercise intensity that relates to the every day that is comprised in this time limit; determine a movable progression at the time zone of selecting; this daily routines analyzer provides a trend of this activity progression in this time limit; the movable joint in all one's life that produces this trend of expression is played information, and this tendency information is sent, on the display that is presented at this work station.
15. system as claimed in claim 14, wherein:
This daily routines analyzer (118) is collected this routine exercise intensity at this selection time zone on the date that is comprised in this time limit, and a reference motion intensity is set at the collected meansigma methods of conventional exercise intensity in this time limit;
This daily routines analyzer will compare at conventional exercise intensity and this reference motion intensity in this selection time zone of every day in this time limit; per diem to obtain deviation between the two; and one of them movable progression is defined as corresponding to the deviation that obtains like this, with this trend in the time limit that produces the movable progression of determining thus.
16. system as claimed in claim 14, wherein:
When this trend shows when not having significant change in this activity progression, this daily routines analyzer (118) produces one first rhythm of life information; When this trend showed that this activity progression tilts, this daily routines analyzer (118) produced one second rhythm of life information; And when this trend showed that this activity progression descends, this daily routines analyzer (118) produced a three lives movable joint and plays information; It is differing from each other that this first rhythm of life information, this second rhythm of life information and this three lives movable joint are played information.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2004213165 | 2004-07-21 | ||
| JP2004213165A JP4449617B2 (en) | 2003-12-22 | 2004-07-21 | Motion sensing system |
| JP2005018679 | 2005-01-26 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN1723847A CN1723847A (en) | 2006-01-25 |
| CN100409809C true CN100409809C (en) | 2008-08-13 |
Family
ID=35923568
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNB200510059057XA Expired - Fee Related CN100409809C (en) | 2004-07-21 | 2005-03-21 | Physical activity measuring system |
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| Country | Link |
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| CN (1) | CN100409809C (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102743153A (en) * | 2011-04-21 | 2012-10-24 | 松下电器产业株式会社 | Organism information measuring apparatus |
Families Citing this family (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP5022422B2 (en) * | 2009-10-19 | 2012-09-12 | パナソニック株式会社 | Activity meter |
| JP5359769B2 (en) * | 2009-10-21 | 2013-12-04 | オムロンヘルスケア株式会社 | Body motion detection device |
| CN103025243B (en) * | 2010-05-24 | 2016-11-09 | 萨里斯脚踏车集团公司 | For by system related to workout-parameters for heart rate and device |
| CN101936793B (en) * | 2010-06-24 | 2011-12-21 | 北京航空航天大学 | Operator limb force applying test auxiliary bracket |
| US9283429B2 (en) | 2010-11-05 | 2016-03-15 | Nike, Inc. | Method and system for automated personal training |
| US9977874B2 (en) | 2011-11-07 | 2018-05-22 | Nike, Inc. | User interface for remote joint workout session |
| WO2012061804A1 (en) | 2010-11-05 | 2012-05-10 | Nike International Ltd. | Method and system for automated personal training |
| US11064910B2 (en) * | 2010-12-08 | 2021-07-20 | Activbody, Inc. | Physical activity monitoring system |
| US10420982B2 (en) | 2010-12-13 | 2019-09-24 | Nike, Inc. | Fitness training system with energy expenditure calculation that uses a form factor |
| CA2821274C (en) * | 2010-12-13 | 2018-06-12 | Nike International Ltd. | Processing data of a user performing an athletic activity to estimate energy expenditure |
| JP5923857B2 (en) * | 2011-03-01 | 2016-05-25 | オムロンヘルスケア株式会社 | Activity meter |
| CN104508669B (en) * | 2012-06-04 | 2019-10-01 | 耐克创新有限合伙公司 | A kind of system and method for comprehensive body exercising-sports score |
| JP5984002B2 (en) * | 2012-08-29 | 2016-09-06 | カシオ計算機株式会社 | Exercise support device, exercise support method, and exercise support program |
| US11006690B2 (en) * | 2013-02-01 | 2021-05-18 | Nike, Inc. | System and method for analyzing athletic activity |
| CN105005458A (en) * | 2014-04-22 | 2015-10-28 | 昆达电脑科技(昆山)有限公司 | Information display method by changing font and electronic apparatus |
| JP6183716B2 (en) * | 2014-09-19 | 2017-08-23 | カシオ計算機株式会社 | Exercise support device, exercise support method, and exercise support program |
| TWI603717B (en) * | 2015-05-21 | 2017-11-01 | 博晶醫電股份有限公司 | Stamina monitoring method and device |
| CN107578806A (en) * | 2017-07-24 | 2018-01-12 | 杭州湖滨科技有限公司 | Calculate the quantization method of the energy of analysis food |
| CN108937860B (en) * | 2018-06-06 | 2021-02-02 | 歌尔科技有限公司 | Motion state monitoring method, system and equipment and storage medium |
| CN111991013A (en) * | 2020-09-03 | 2020-11-27 | 善勤医创(北京)科技发展有限公司 | Skeletal muscle strength and human body stability detection system and detection method thereof |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4192000A (en) * | 1977-07-14 | 1980-03-04 | Calorie Counter Limited Partnership | Electronic calorie counter |
| US4962469A (en) * | 1988-04-18 | 1990-10-09 | Casio Computer Co., Ltd. | Exercise measuring instrument |
| JPH10318779A (en) * | 1997-05-21 | 1998-12-04 | Suzuken:Kk | Motion level chronological storage device |
| US20010049470A1 (en) * | 2000-01-19 | 2001-12-06 | Mault James R. | Diet and activity monitoring device |
| EP1256316A1 (en) * | 2001-05-07 | 2002-11-13 | Move2Health B.V. | Portable device comprising an acceleration sensor and method of generating instructions or advice |
| US6506152B1 (en) * | 2000-05-09 | 2003-01-14 | Robert P. Lackey | Caloric energy balance monitor |
| EP1302162A2 (en) * | 1994-09-07 | 2003-04-16 | Omron Corporation | Exercise amount measuring device capable of displaying the amount of exercise to be performed further |
| CN1457246A (en) * | 2001-03-06 | 2003-11-19 | 微石有限公司 | Body motion detector |
| US20030226695A1 (en) * | 2000-05-25 | 2003-12-11 | Mault James R. | Weight control method using physical activity based parameters |
-
2005
- 2005-03-21 CN CNB200510059057XA patent/CN100409809C/en not_active Expired - Fee Related
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4192000A (en) * | 1977-07-14 | 1980-03-04 | Calorie Counter Limited Partnership | Electronic calorie counter |
| US4962469A (en) * | 1988-04-18 | 1990-10-09 | Casio Computer Co., Ltd. | Exercise measuring instrument |
| EP1302162A2 (en) * | 1994-09-07 | 2003-04-16 | Omron Corporation | Exercise amount measuring device capable of displaying the amount of exercise to be performed further |
| JPH10318779A (en) * | 1997-05-21 | 1998-12-04 | Suzuken:Kk | Motion level chronological storage device |
| US20010049470A1 (en) * | 2000-01-19 | 2001-12-06 | Mault James R. | Diet and activity monitoring device |
| US6506152B1 (en) * | 2000-05-09 | 2003-01-14 | Robert P. Lackey | Caloric energy balance monitor |
| US20030226695A1 (en) * | 2000-05-25 | 2003-12-11 | Mault James R. | Weight control method using physical activity based parameters |
| CN1457246A (en) * | 2001-03-06 | 2003-11-19 | 微石有限公司 | Body motion detector |
| EP1256316A1 (en) * | 2001-05-07 | 2002-11-13 | Move2Health B.V. | Portable device comprising an acceleration sensor and method of generating instructions or advice |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102743153A (en) * | 2011-04-21 | 2012-10-24 | 松下电器产业株式会社 | Organism information measuring apparatus |
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|---|---|
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