CN111000540A - Student physique health detection system - Google Patents
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Abstract
The invention relates to the field of health monitoring, in particular to a student physical health detection system, which comprises an acceleration acquisition module, a server and a user terminal, wherein the server comprises a processing module, a database and an analysis module, and the acceleration acquisition module is used for acquiring an acceleration value of a student, the server comprises a processing module, a database and an analysis module, wherein: the acceleration acquisition module is used for acquiring acceleration original data in the walking process of the student; the processing module is used for receiving and processing the acceleration original data to generate corresponding step frequency data; the database is used for pre-storing a student physical health suggestion table; the analysis module is used for setting a standard step frequency threshold range, processing step frequency data according to the standard step frequency threshold range, and generating effective step frequency data if the step frequency data is contained in the standard step frequency threshold range; and processing effective step frequency data according to the student physical health suggestion table in the database, and correspondingly matching personal physical health suggestion information of the students. The problem that the motion data detection result is not high in authenticity in the prior art is solved.
Description
Technical Field
The invention relates to the field of health monitoring, in particular to a student physical health detection system.
Background
With the growing awareness of the importance of physical health, many schools develop physical health detection activities in the unified arrangement of the education department, and aim to promote the healthy development of the physical health of students and improve the physical fitness level of the students. Nowadays, the evaluation of the physical health of students becomes an important link of school sports work and an important component in a school education evaluation system. However, the physique detection work relates to students in all schools, if the traditional mode is adopted, the detection work is organized and planned by manpower, not only the workload is huge, but also a large amount of manpower is consumed, and the detection efficiency is too low, so that the normal learning progress of the students is influenced.
In view of the situation, a document with chinese patent publication No. CN105639894A discloses a bracelet with campus card function, wherein a central processing unit of the bracelet is connected to a non-contact IC card chip, a motion sensor module, a GPS positioning module and a display screen; the display screen is arranged on the surface of the bracelet body and used for displaying information under the control of the central processing unit; the motion sensor module is arranged in the bracelet body and used for sensing the motion state of a wearer and sending data to the central processing unit; the GPS positioning module is used for determining the position of the bracelet in real time and sending data to the central processing unit; the non-contact IC card chip is used for storing identity information and account information of the student user; the battery is used for supplying power to the power consumption unit.
The students wear the bracelet designed by the scheme, although the intelligent equipment can replace manual work to detect the motion condition of the students; however, in the actual application process, some students who dislike sports adopt a way of making a break in time and getting a chance to deal with the sports assessment indexes of schools, for example, shaking a bracelet while riding a vehicle, so as to achieve the purpose of recording sports data. The problem that the authenticity of a detection result is not high, and the physical health of students cannot be effectively and accurately detected exists.
Disclosure of Invention
The invention aims to provide a student physical health detection system which can solve the problem that in the prior art, the detection result of motion data is not high in authenticity.
The basic scheme provided by the invention is as follows: the utility model provides a student's physique health detecting system, includes acceleration acquisition module, server and user terminal, and the server includes processing module, database and analysis module, wherein:
the acceleration acquisition module is used for acquiring acceleration original data in the walking process of the student;
the processing module is used for receiving and processing the acceleration original data to generate corresponding step frequency data;
the database is used for pre-storing a student physical health suggestion table;
the analysis module is used for setting a standard step frequency threshold range, processing step frequency data according to the standard step frequency threshold range, and generating effective step frequency data if the step frequency data is contained in the standard step frequency threshold range; effective step frequency data are processed according to the student physical health suggestion table in the database, and personal physical health suggestion information of students is correspondingly matched;
and the user terminal is used for receiving the effective step frequency data and the personal physical health suggestion information of the students.
The working principle and the advantages of the invention are as follows:
compared with the prior art, for example, the document with chinese patent publication No. CN104660779A discloses a method, an apparatus and a mobile phone for calculating the amount of exercise, in which a GPS module is used to obtain the movement displacement of the user, and then the movement displacement is used to determine the amount of exercise of the user. However, the GPS signal is easily interfered by external factors, for example, the reflection of the building on the GPS signal may generate a multipath effect, resulting in signal distortion; the use of GPS modules in tunnels and underground parking lots can also cause the loss of lock of GPS signals; the GPS module cannot acquire accurate movement displacement of the user. Therefore, in the scheme, the acceleration acquisition module is utilized to input the detected acceleration original data into the server, and the step frequency data is generated after the acceleration original data is processed.
Moreover, by setting a standard step frequency threshold range, effective step frequency data are recorded only when the acquired step frequency data are contained in the standard step frequency threshold range; compare with current step counting equipment such as bracelet, cell-phone, can avoid leading to the problem that data authenticity reduces because of wrong count, and then effectively prevent student's cheating action to obtain the higher detection data of accuracy. And finally, matching the corresponding personal physical health suggestion information from the database, and outputting the effective and accurate personal physical health suggestion information on the user terminal.
According to the scheme, the acceleration acquisition module acquires the acceleration original data in the walking process of the student, and the data are analyzed, so that the purpose of acquiring more real motion data is achieved.
Further, the processing module is further configured to process the acceleration raw data by using low-pass filtering and smoothing filtering. In the scheme, because the acceleration original data is actually a waveform describing the walking process, the acceleration original data is processed by adopting low-pass filtering, wherein the low-pass filtering is filtering of high-frequency signals and all low-frequency signals pass through the low-pass filtering. The processing module is used for processing acceleration signals of student walking, and the walking speed is limited, so the signals with the over-high frequency are certain noises which can interfere the generation of the step frequency data, and the noises can be well reduced after low-pass filtering; and smooth filtering is adopted, so that the original basic waveform characteristics can be ensured, the original waveform full of noise becomes smoother to a great extent, and the acquired data is ensured to be more effective and reliable.
Further, the processing module is further configured to process the acceleration raw data according to a derivation operation after the low-pass filtering and the smoothing filtering, and generate step frequency data. The scheme needs to process the acquired acceleration original data and generate step frequency data; and because the acceleration original data is actually a waveform describing the walking process, the waveform is similar to a sine-cosine curve and periodically changes according to wave crests and wave troughs, so that the processing is started, and the leading operation is adopted to search extreme points of the waveform, namely, the points with zero derivative are searched, and the step frequency is judged.
Further, the standard step frequency threshold range is 60-300 steps/minute, and when the step frequency data exceeds the standard step frequency threshold range, invalid step frequency data is defined; otherwise, when the step frequency data is contained in the standard step frequency threshold range, the effective step frequency data is defined. In the advancing process of a person, the reasonable step frequency interval is 60-300 steps/minute, the step frequency data is used as the standard step frequency threshold range to judge the collected step frequency data, the step frequency data can not be uploaded as effective step frequency data when the step frequency data is lower than 60 steps/minute or exceeds 300 steps/minute, the reduction of data authenticity caused by wrong step counting can be avoided, and further the reality and reliability of the student physical health advice are guaranteed.
The heart rate acquisition module comprises a light source and a photoelectric sensing unit, and the photoelectric sensing unit is used for receiving light beams reflected by the light source after penetrating through peripheral blood vessels of a human body and generating heart rate original data; the processing module is further used for receiving the heart rate raw data, processing the heart rate raw data according to time domain analysis and generating a heart rate value. Because the heart rate is one of the important parameters of vital signs, when the light beam of the light source is emitted to the skin, the light reflected back through the skin tissue is received by the photoelectric sensing unit and converted into an electric signal, and then the electric signal is converted into a digital signal through AD. Then processing the heart rate original data by a processing module by adopting a smooth filtering and peak detection algorithm in sequence; because blood in an artery flows and absorption of light also changes, after the photoelectric sensing unit converts the light into an electric signal, an alternating current signal in the electric signal is extracted, so that the flowing characteristic of the blood can be reflected, the collected heart rate original data is a periodically changing curve, noise interference is eliminated by adopting smooth filtering, and finally, the number of wave crests in a certain time is obtained according to a peak value detection algorithm to obtain a corresponding heart rate value.
Furthermore, the analysis module is also used for setting a limit heart rate threshold value, and when the heart rate value exceeds the limit heart rate threshold value, an alarm signal is generated. Because the heart rate of a person is at the limit value of 192 times/minute during exercise, if the heart rate value detected during exercise exceeds the limit heart rate threshold value, abnormal heart rate states can be found in time by sending alarm signals, and the function of protecting students is achieved.
Furthermore, the user terminal comprises mobile phone terminals of teachers and parents of students, and the user terminal is in communication connection with the analysis module and is used for receiving and displaying effective step frequency data, heart rate values and personal physique health suggestion information of the students. Not only be convenient for head of a family and mr to master student's amount of exercise and healthy in physique, can also real time monitoring student's state of rhythm of the heart.
Further, a light source of the heart rate acquisition module adopts green light. The signal obtained by adopting green light as a light source and the signal-to-noise ratio are better, so that the accuracy of the heart rate original data is improved.
Further: the device also comprises a microphone, a voice processing module and a voice processing module, wherein the microphone is used for collecting breathing sound information in the movement process and generating a corresponding sound wave curve; the processing module is also used for receiving and processing the sound wave curve to generate a breathing frequency value. In the process of movement of a person, continuous respiration can form a continuous curve waveform comprising a plurality of wave crests and wave troughs, namely when the expiratory sound is large, the amplitude of the waveform is high, and the wave crests are formed; when the air is inhaled, the waveform is relatively quiet, and the amplitude of the waveform is relatively low, so that a trough is formed. By adopting the mode, the breathing frequency can be acquired by the microphone, and the reasonability of the current exercise amount can be judged by combining the breathing frequency.
Further, the quantity of microphone is 2, and one of them microphone sets up the one end that is close to user's mouth, and another microphone sets up the one end of keeping away from the mouth. By adopting the mode, two sound wave curves can be obtained, namely, the first sound wave curve not only contains the breathing sound of human body movement, but also comprises the noises such as wind sound, noise and the like in the environment, and the other sound wave curve only collects the environmental noise and then filters the waves to process, so that the interference of the environmental noise can be eliminated, and further, a more accurate breathing frequency value can be obtained.
Drawings
Fig. 1 is a block diagram of a first embodiment of a student physical health detection system according to the present invention.
Fig. 2 is a flow chart of a second embodiment of the student physical health detection system according to the present invention.
Detailed Description
The following is further detailed by the specific embodiments:
example one
As shown in FIG. 1, a student physical health detection system comprises an acceleration acquisition module, a heart rate acquisition module, a server and a user terminal,
the acceleration acquisition module adopts an ADXL345 acceleration sensor and is used for acquiring acceleration original data in the walking process of students;
the heart rate acquisition module comprises a light source and a photoelectric sensing unit, wherein the light source adopts a green light emitting diode, the photoelectric sensing unit and a TSOP4838 photosensitive sensor, and the photoelectric sensing unit is used for receiving light beams reflected by the light source after penetrating through peripheral blood vessels of a human body and generating heart rate original data;
the server adopts an STC12C5A60S2 singlechip and comprises a processing module, a database and an analysis module, wherein:
the processing module is used for receiving the acceleration original data, and processing the acceleration original data by adopting low-pass filtering, smooth filtering and derivation operation in sequence to obtain corresponding step frequency data; the heart rate analysis module is also used for receiving heart rate original data and processing the heart rate original data according to time domain analysis, namely processing the heart rate original data by adopting a smooth filtering algorithm and a peak detection algorithm in sequence to generate a heart rate value;
the database is used for storing the physical health suggestions of the students;
the analysis module is used for setting a standard step frequency threshold range, processing step frequency data according to the standard step frequency threshold range, and defining invalid step frequency data when the step frequency data exceeds the standard step frequency threshold range; otherwise, when the step frequency data is contained in the standard step frequency threshold range, the step frequency data is defined as effective step frequency data; in the embodiment, 60-300 steps/minute is taken as a standard step frequency threshold range, if the acquired step frequency data are located in the interval, effective step frequency data are generated, and the effective step frequency data are processed according to a database to obtain corresponding student physical health suggestions;
in this embodiment, the user terminal includes mobile phones of a teacher and a parent; the GPRS communication module adopts WH-LTE-7S 4V 2, and after the SIM card is inserted, the GPRS communication module can support the singlechip and the user terminal to complete data transmission and voice communication between students and parents; the student mobile phone further comprises a GPS positioning module, wherein the positioning module adopts ATGM332D-5N31, and is used for collecting the position information of students and sending the position information to the user terminal. The communication by adopting the GPRS communication module and the positioning by adopting the GPS module are both the prior art, and the description is omitted.
Specifically, an SCL pin of the ADXL345 acceleration sensor is connected with a P2.0 pin of the STC12C5a60S2 single chip microcomputer, and an SDA pin of the ADXL345 acceleration sensor is connected with a P2.1 pin of the STC12C5a60S2 single chip microcomputer; the output end of the photoelectric sensing unit is connected with the input end of the singlechip; the RXD pin and the TXD pin of the singlechip are respectively connected with the TXD pin and the TXD pin of the GPRS communication module; the RXD2 pin and the TXD2 pin of the single chip microcomputer are respectively connected with the TXD pin and the TXD pin of the GPS positioning module.
When the device is used specifically, the vector length of acceleration in the advancing process is calculated firstly, and a sinusoidal track of stepping motion can be obtained; the sine curve records the vector length and the motion direction, the direction of the current acceleration can be judged through the change of the vector length, and compared with the stored acceleration direction, if the direction is opposite, the sine curve is an extreme point of the curve, namely the sine curve just passes through the peak value state; in the process of moving, a plurality of peak points appear in the sinusoidal curve track representing the acceleration, and the step number information is obtained through the accumulation of the peak times. Meanwhile, the database stores student physical health suggestions, and specifically comprises the following steps: if the number of steps calculated by a student through a detection system is less than 6000 steps, the student can send' walk to enhance the immunity, improve the physical health and endocrine and regulate the hormone level; the number of steps you walk today is insufficient, and reinforced exercise' is recommended; if the number of steps exceeds 6000 steps, sending' you have the number of steps taken today up to standard and then meet again! "is used for prompting.
Example two
Compared with the first embodiment, the first embodiment is characterized by further comprising a microphone for collecting breathing sound information in the movement process, wherein the output end of the microphone is connected with the input end of the single chip microcomputer to generate a corresponding sound wave curve; the database is used for storing the respiratory frequency and the heart rate value of the user in a resting state; the processing module is also used for receiving and processing the sound wave curve to generate a breathing frequency value; in the movement process, continuous respiration can form a continuous curve waveform, namely, the expiratory sound is larger, the waveform amplitude is higher, and a wave crest is formed; when the air is inhaled, the air is quiet, the amplitude of the waveform is low, and a wave trough is formed; the breathing frequency in unit time can be counted by calculating once in one period, and further the breathing frequency value is obtained. Meanwhile, with the increase of the exercise intensity, the oxygen consumption is increased, and due to instinctive reaction, a person can adjust the breathing frequency to enable the breathing to become more rapid, namely the abscissa distance of one wave crest and trough period in the generated sound wave curve is shorter.
In other embodiments, the number of microphones is 2; because all modules in the system are electrically connected and then integrally formed, the assembled type is similar to that of the existing intelligent student card, and students can hang on the chest; one of the microphones is arranged at one end of the card close to the mouth of the student, the other microphone is arranged at one end of the card far away from the mouth of the student, and the two microphones and the intelligent student card are integrally formed. By the mode, two sound wave curves can be collected, namely the first sound wave curve not only contains the breathing sound of human body movement, but also comprises the noises such as wind sound, noise and the like in the environment, and the other sound wave curve only collects the environmental noise; and then, the processing module is adopted to filter the two sound wave curves, so that the interference of environmental noise is eliminated, and a more accurate respiratory frequency value can be obtained.
As shown in fig. 2, the method for generating the effective step number includes:
s1, setting time parameters, and dividing a plurality of continuous historical periods and current periods according to the time parameters;
s2, acquiring step number information of the history period and storing the step number information into a sequence to be processed;
s3, after the step number information of the current period is obtained, comparing the step number information of the historical period with the step number information of the current period; if the former is larger than the latter, the two are directly accumulated to generate total step information, and the total step information is sent to the user terminal; if the step number information of the historical period is smaller than the step number information of the current period and the difference value is larger than a preset threshold value, acquiring a heart rate value and a respiratory frequency, comprehensively judging whether the heart rate value and the respiratory frequency are reasonable or not, if so, accumulating, and generating total step number information; and if the step number information is not reasonable, the accumulation operation is not carried out, and the step number information of the historical period and the step number information of the current period are deleted.
Briefly explaining the time parameters, the whole process of counting the steps of the student by using the physical health detection system from beginning to end can be regarded as a time axis. For convenience of explanation, the time parameter set in this embodiment is 5 minutes, and the time period for a student to use the system is 10 minutes, so the divided historical period is 5 minutes, and the current period is 5 minutes; the other student uses 15 minutes, the whole process is divided according to time parameters, namely, a time shaft is divided into 3 sections, namely a first section, a second section and a third section, the time length is 5 minutes, the first section represents a first history period, and the second section represents a first current period; after the first history period and the first current period are processed, the first current period can be automatically replaced by a second history period, and the third section represents the second current period. In practice, the time to count the steps is longer, and so on, the whole process can be divided into a plurality of continuous historical periods and current periods.
In this embodiment, the set time parameter is 5 minutes, the physical health detection system starts to collect data from the tester a, and the number of steps of the tester in the first 5 minutes (history period) is 400 steps, and the number of steps of the tester in the second 5 minutes (current period) is 300 steps, because the former is greater than the latter, the data can be directly accumulated, and the user terminal receives and displays 'your number of steps is 700 steps';
in other embodiments, if the time parameter is set to 1 minute, the number of steps taken by the test person B in the first 1 minute is 120 steps, the number of steps taken in the second 1 minute is increased to 180 steps, and the difference is 60 steps and is greater than the preset threshold (10 steps), the current breathing rate is 22/minute and the heart rate value is 135/minute, and the breathing rate of the test person B in the resting state is 18/minute and the heart rate value is 75/minute, which are prestored in the database. After comparison, the numerical value and the amount of exercise are judged to be reasonable, and the user terminal receives and displays that the number of steps of the user is 300;
in another embodiment, the time parameter is set to 1 minute, the number of steps of the historical period of the tester B is collected to 115 steps, and the number of steps in the current period is increased to 183 steps. And if the difference value (60 steps) is greater than a preset threshold value (10 steps), acquiring the respiratory rate and the heart rate value of the current experimenter for 18 times/minute and 80 times/minute, and finding that the current respiratory rate and the heart rate value do not obviously rise with the respiratory rate and the heart rate value in the normal state, namely the current respiratory rate and the heart rate value are not consistent with the exercise intensity, not recording the steps of the two periods, and receiving and displaying 'your step number is 0 step' by the user terminal.
Compared with the traditional step counting method, the method and the device have the advantages that whether the exercise amount (the step number) is reasonable or not can be determined according to the heart rate value and the respiratory frequency, the reliability of step number information is guaranteed, and more real and accurate step number information is displayed on the user terminal.
Since the step number change is continuous in the process of movement, the device aims to cope with the surge of a single point. And when the historical step number information is far smaller than the current step number information and the difference value between the historical step number information and the current step number information is larger than a preset threshold value, extracting the heart rate value and the respiratory frequency of the user to judge whether the heart rate value and the respiratory frequency are reasonable or not. Compared with the prior art, the system needs to extract the heart rate value and the respiratory rate all the time, the data volume processed can be avoided being overlarge, the analysis and processing efficiency of the system is further improved, and the storage space is saved.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. The utility model provides a student's physique health detecting system, includes acceleration acquisition module, server and user terminal, its characterized in that, server include processing module, database and analysis module, wherein:
the acceleration acquisition module is used for acquiring acceleration original data in the walking process of the student;
the processing module is used for receiving and processing the acceleration original data to generate corresponding step frequency data;
the database is used for pre-storing a student physical health suggestion table;
the analysis module is used for setting a standard step frequency threshold range, processing step frequency data according to the standard step frequency threshold range, and generating effective step frequency data if the step frequency data is contained in the standard step frequency threshold range; effective step frequency data are processed according to the student physical health suggestion table in the database, and personal physical health suggestion information of students is correspondingly matched;
and the user terminal is used for receiving the effective step frequency data and the personal physical health suggestion information of the students.
2. The student physical fitness detection system of claim 1, wherein: the processing module is also used for processing the acceleration raw data by adopting low-pass filtering and smoothing filtering.
3. The student physical fitness detection system of claim 2, wherein: the processing module is also used for processing the acceleration raw data according to the derivation operation after the low-pass filtering and the smoothing filtering to generate the step frequency data.
4. The student physical health detection system according to claim 1, wherein the standard step frequency threshold range is 60-300 steps/min, and when the step frequency data exceeds the standard step frequency threshold range, invalid step frequency data is defined; otherwise, when the step frequency data is contained in the standard step frequency threshold range, the effective step frequency data is defined.
5. The student physical fitness detection system of claim 1, wherein: the heart rate acquisition module comprises a light source and a photoelectric sensing unit, and the photoelectric sensing unit is used for receiving light beams reflected by the light source after penetrating through peripheral blood vessels of a human body and generating heart rate original data; the processing module is further used for receiving the heart rate raw data, processing the heart rate raw data according to time domain analysis and generating a heart rate value.
6. The student physical fitness detection system of claim 6, wherein: the analysis module is also used for setting a limit heart rate threshold value, and when the heart rate value exceeds the limit heart rate threshold value, an alarm signal is generated.
7. The student physical fitness detection system of claim 1, wherein: the user terminal comprises mobile phone terminals of teachers and parents of students, is in communication connection with the analysis module and is used for receiving and displaying effective step frequency data, heart rate values and personal physique health suggestion information of the students.
8. The student physical fitness detection system of claim 5, wherein: the light source of the heart rate acquisition module adopts green light.
9. The student physical fitness detection system of claim 1, wherein: the device also comprises a microphone, a voice processing module and a voice processing module, wherein the microphone is used for collecting breathing sound information in the movement process and generating a corresponding sound wave curve; the processing module is also used for receiving and processing the sound wave curve to generate a breathing frequency value.
10. The student physical fitness detection system of claim 9, wherein: the quantity of microphone is 2, and one of them microphone sets up in the one end that is close to user's mouth, and another microphone sets up the one end of keeping away from user's mouth.
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Application publication date: 20200414 |