CN105845153A - Sleep analysis system and method thereof - Google Patents
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- 230000007958 sleep Effects 0.000 title claims abstract description 76
- 238000004458 analytical method Methods 0.000 title claims abstract description 36
- 238000000034 method Methods 0.000 title description 17
- 238000005516 engineering process Methods 0.000 claims abstract description 16
- 239000000284 extract Substances 0.000 claims description 9
- 230000007613 environmental effect Effects 0.000 claims description 7
- 230000003860 sleep quality Effects 0.000 description 12
- 238000001514 detection method Methods 0.000 description 4
- 230000005236 sound signal Effects 0.000 description 4
- 206010041235 Snoring Diseases 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 238000005070 sampling Methods 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000036578 sleeping time Effects 0.000 description 2
- 206010011224 Cough Diseases 0.000 description 1
- 206010062519 Poor quality sleep Diseases 0.000 description 1
- 230000003321 amplification Effects 0.000 description 1
- 208000008784 apnea Diseases 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
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- 238000003745 diagnosis Methods 0.000 description 1
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- 210000005069 ears Anatomy 0.000 description 1
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- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
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- 208000019116 sleep disease Diseases 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
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- G—PHYSICS
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- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
- G10L25/66—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for extracting parameters related to health condition
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/72—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for transmitting results of analysis
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Abstract
The invention discloses a sleep analysis system. The system comprises a mobile terminal and a cloud platform. The mobile terminal is used for detecting sound information when a user sleeps, extracting characteristic information in the sound information by using a sound identification technology and sending the characteristic information to the cloud platform. The sound information comprises a user sleep sound and an environment noise. The cloud platform is used for receiving the characteristic information, and inquiring a preset voice database according to the characteristic information to acquire sleep guidance information corresponding to the user. In the invention, a microphone of an existing mobile terminal is used to detect the sound information when the user sleeps; a sound identification technology is used to extract the characteristic information, and the characteristic information is classified and then is analyzed through cloud platform mass data so that specific sleep guidance is performed on the user. Simultaneously, the cloud platform also provides an intelligent wake-up service.
Description
Technical Field
The invention belongs to the technical field of voice recognition, and particularly relates to a sleep analysis system and method.
Background
Sleep is very important to the physical health of one person, most people suffer from sleep problems, some temporary and some long-term, and the lack of high-quality sleep can have negative effects on energy, mood, health and the like. At present, the problem is increasingly obvious due to the pressure in life and the influence of external environmental factors. The sleep quality is monitored for a long time, the reason for the poor sleep quality is found, and timely and effective improvement measures are taken, so that the method is more necessary. Currently, the sleep quality judgment is mainly based on the subjective judgment of an individual, the diagnosis of an expert is also usually in a questionnaire mode, and the filling of the content of the questionnaire is also based on the subjective judgment of the individual. The main problems brought by individual subjective judgment are inaccuracy, large error and incapability of truly and accurately reflecting sleep quality. The measurement of the professional instrument needs to be carried out under a specific test environment, and the user can only wear corresponding equipment to carry out detection, so that the device is not universally suitable for normal life. Therefore, a method for automatically judging the sleep quality of the user according to the sleep sound of the user and giving a targeted guidance suggestion is urgently needed to be invented.
Disclosure of Invention
In order to solve the technical defect that the conventional equipment for detecting the sleep quality of the user is not suitable for daily life, the invention judges the sleep quality of the user by detecting the sound information of the user in the sleep process and gives corresponding guidance.
The invention provides a sleep analysis system which comprises a mobile terminal and a cloud platform, wherein the mobile terminal is used for detecting sound information of a user during sleep, extracting characteristic information in the sound information by using a sound identification technology, and sending the characteristic information to the cloud platform, wherein the sound information comprises user sleep sound and environmental noise; the cloud platform is used for receiving the characteristic information and inquiring a preset voice library according to the characteristic information to obtain sleep guidance information corresponding to the user.
In the sleep analysis system, the mobile terminal is further used for receiving recommendation information, sleep assisting music and alarm clock instruction information sent by the cloud platform.
In the sleep analysis system, the distance between the mobile terminal and the detected user is not more than 2 meters.
In the sleep analysis system of the present invention, the mobile terminal is further configured to obtain a geographic location of a current user, and send the geographic location of the user to the cloud platform.
In the sleep analysis system, the cloud platform acquires climate information at the current geographic position according to the geographic position.
In the sleep analysis system of the present invention, the mobile terminal is further configured to send the feature information to the cloud platform before sending the feature information to the cloud platform
And classifying the sound information according to the characteristic information, wherein the classification comprises a user sleep event classification and a noise classification.
The invention also provides a sleep analysis method, which comprises a mobile terminal and a cloud platform communicated with the mobile terminal, and comprises the following steps:
the mobile terminal detects sound information of a user during sleeping, utilizes a sound identification technology to extract characteristic information in the sound information, and sends the characteristic information to the cloud platform, wherein the sound information comprises user sleeping sound and environmental noise;
and the cloud platform receives the characteristic information, and inquires a preset voice library according to the characteristic information to obtain sleep guidance information corresponding to the user.
In the sleep analysis method of the present invention, before the mobile terminal detects the sound information of the user during sleep, the voice recognition technology is used to extract the feature information in the sound information, and the feature information is sent to the cloud platform, the method further comprises
And classifying the sound information according to the characteristic information, wherein the classification comprises a user sleep event classification and a noise classification.
In the sleep analysis method of the invention, the mobile terminal detects the sound information of the user during sleep, utilizes the sound identification technology to extract the characteristic information in the sound information, and also comprises the steps of sending the characteristic information to the cloud platform
The mobile terminal acquires the geographic position of the current user and sends the geographic position of the user to the cloud platform.
In the sleep analysis method of the present invention, after the cloud platform receives the feature information, the cloud platform receives the feature information
And acquiring climate information at the geographical position according to the geographical position sent by the mobile terminal.
In summary, the invention uses the microphone of the existing mobile terminal to detect the sound information of the user during sleeping, uses the sound identification technology to extract the characteristic information, classifies the characteristic information, analyzes the mass data of the cloud platform, and performs targeted sleep guidance on the user; meanwhile, the cloud platform also provides intelligent wake-up service.
Drawings
FIG. 1 is a schematic diagram of a sleep analysis system according to the present invention;
fig. 2 is a schematic flow chart of a sleep analysis method according to the present invention.
Detailed Description
The present invention will be described in further detail below with reference to specific embodiments and with reference to the attached drawings.
The existing sleep analysis mode generally needs a user to wear a special wearable device and then perform data monitoring on the sleep process of the user. And analyzing the sleep quality of the user and analyzing factors influencing the sleep of the user according to the detection data. This kind of mode need wear corresponding wearing equipment, and the cost is high, and also influences user's sleep quality because of wearing equipment itself to the degree of accuracy of the detection of user's sleep quality has been reduced. At present, common portable mobile terminals such as mobile phones and tablet computers are popularized, and the mobile terminals all have microphone devices. Therefore, the mobile terminal acquires sound information of the user during sleep, preprocesses the sound through the App application of the mobile terminal, extracts characteristic data, and uploads the characteristic data to the cloud platform through network connection. The sound collection does not need professional equipment, and only the mobile terminal is required to have a microphone sound collection function.
In summary, the present invention provides a sleep analysis system, which includes a mobile terminal 10 and a cloud platform 20.
Wherein,
the mobile terminal 10 is configured to detect sound information of a user during sleep, extract feature information in the sound information by using a sound identification technology, and send the feature information to the cloud platform, where the sound information includes a user sleep sound and an environmental noise.
According to the method, the mobile terminal is used for collecting sound information of a user during sleep, the sound is preprocessed through the mobile terminal App application, the characteristic data is extracted, and the characteristic data is uploaded to the cloud platform through network connection.
Because different sounds have different characteristics such as frequency, amplitude and the like, and a big data mode is adopted, the extracted sound characteristics can be classified, and different sound types can be identified, so that the purposes of event acquisition and noise identification are achieved.
The voice recognition technology is used for preprocessing and analyzing voice signals, and comprises amplification, coding, conversion and compression processing. The actual physical waveform signal is an analog signal which is collected by the microphone of the mobile terminal and continuously changes along with time. And the mobile terminal performs analog/digital conversion on the collected sound signal. The present invention will be described by taking a pulse code modulation method as an example when performing analog/digital conversion. The pulse-ning code modulation is divided into three processes of sampling, quantization and coding. And converting the sound signal collected by the mobile terminal into a binary code through sampling. According to the frequency of the sound which can be received by human ears, firstly, the collected sound signals are amplified to prevent information loss. Secondly, quantizing the amplified groaning signal according to the amplitude value in a specific unit, so that the sampled sound signal has a continuous analog signal which is changed into a discrete digital signal, and then coding is completed. In specific implementation, the method utilizes the microphone of the smart phone to collect sound, and performs FFT processing on the collected sound, extracts the characteristic vector and filters out noise. And extracting the characteristic vector, namely calculating the mean value of the sampling points in each frame to obtain characteristic values (the data of the characteristic values can be different according to the requirements of different calculation accuracies).
The cloud platform 20 is configured to receive the feature information, and query a preset voice library according to the feature information to obtain sleep guidance information corresponding to the user.
The cloud platform provided by the invention uses a big data analysis method to comprehensively analyze the sound collected in the whole sleep process. Even if the mobile terminal extracts the sound characteristics of the sound information, a large amount of data exist in the characteristic information, and meanwhile, the data are linearly increased due to the increase of the number of people. And big data analysis makes this possible.
In specific implementation, the cloud platform can select a MongoDB database, an off-line analysis data warehouse uses hive, a computing platform selects Spark + Spark Streaming, and resource scheduling uses a horn of a Hadoop platform. The sleep mobile terminal extracts sound data related to sleep, uploads the sound data to the cloud platform in real time, the cloud platform adopts two processing modes, one part is to utilize strong real-time computing capacity of Spark Streaming to process the acquired sleep data in real time and detect events, the other part is to perform offline analysis on a large amount of comprehensive data, tasks of the offline analysis are scheduled and executed by a scheduling engine in a unified mode, and the analyzed content comprises analysis of the sleep condition, historical analysis and comprehensive evaluation and suggestion. The analyzed result can be stored in a database of online query, and the mobile terminal can query the corresponding analyzed result through an API (application program interface).
The mobile terminal is further used for receiving recommendation information, sleep assisting music and alarm clock instruction information sent by the cloud platform.
The distance between the mobile terminal and the detected user is kept within 2 meters.
The mobile terminal collects sound information of a user during sleeping through the microphone device. According to the acquisition range of the microphone, the invention is verified by experiments, and the clarity of characteristic extraction of the acquired sound is highest when the distance between the mobile terminal and the user is within 2 meters.
Through a large number of experimental verifications, the smart phone is respectively placed in the distance ranges of 1 meter, 2 meters and 3 meters away from a tester for testing. Each set of tests was performed on the same subjects for 6.5 hours. It is found through experiments that when the distance is close to the tester, the misjudgment of the detection of the event is increased, the friction of some arms is misjudged to be movement, and when the distance exceeds 2 meters, some events such as slight snoring and short movement are missed. Within the range of 1 to 2 meters, the overall accuracy can reach more than 90%.
The mobile terminal is further used for obtaining the geographic position of the current user and sending the geographic position of the user to the cloud platform. And the cloud platform acquires climate information at the current geographic position according to the geographic position. The cloud platform can obtain information such as surrounding weather, temperature, air quality and surrounding environment which influence the sleep environment according to the geographical position information, and analyze factors influencing sleep. Meanwhile, the evaluation of the long-term sleep quality and the reason analysis are obtained according to the comprehensive analysis of the historical data.
The mobile terminal is also used for sending the characteristic information to the cloud platform
And classifying the sound information according to the characteristic information, wherein the classification comprises a user sleep event classification and a noise classification.
The invention detects the sound information of the user during sleeping through the mobile terminal and extracts the characteristics of the sound information. The cloud platform analyzes the characteristic information to judge the sleeping time, deep and shallow sleeping time, sleeping efficiency and the like of the user, and also analyzes sleeping events occurring in the sleeping process of the user, such as turning over, snoring, coughing, apnea caused by snoring and the like; meanwhile, the noise affecting the sleep quality around the user can be analyzed, such as the noise of an air conditioner fan in summer, the noise of a street, and the like.
The invention also provides a sleep analysis method, which comprises the mobile terminal and a cloud platform communicated with the mobile terminal.
The method comprises the following steps:
s101, the mobile terminal detects sound information of a user during sleeping, characteristic information in the sound information is extracted by using a sound identification technology, and the characteristic information is sent to the cloud platform, wherein the sound information comprises sleeping sound of the user and environmental noise;
s102, the cloud platform receives the characteristic information, and inquires a preset voice library according to the characteristic information to obtain sleep guidance information corresponding to the user.
In S101, the mobile terminal detects sound information of a user during sleep, extracts feature information in the sound information by using a sound recognition technology, and sends the feature information to the cloud platform before the mobile terminal detects the sound information of the user during sleep
And classifying the sound information according to the characteristic information, wherein the classification comprises a user sleep event classification and a noise classification.
In S101, the mobile terminal detects sound information of a user during sleep, utilizes a sound identification technology to extract feature information in the sound information, and sends the feature information to the cloud platform and then further comprises
The mobile terminal acquires the geographic position of the current user and sends the geographic position of the user to the cloud platform.
In S102, the cloud platform further includes, after receiving the feature information
And acquiring climate information at the geographical position according to the geographical position sent by the mobile terminal.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The sleep analysis system is characterized by comprising a mobile terminal and a cloud platform, wherein,
the mobile terminal is used for detecting sound information of a user during sleeping, extracting characteristic information in the sound information by using a sound identification technology, and sending the characteristic information to the cloud platform, wherein the sound information comprises user sleeping sound and environmental noise;
the cloud platform is used for receiving the characteristic information and inquiring a preset voice library according to the characteristic information to obtain sleep guidance information corresponding to the user.
2. The sleep analysis system according to claim 1, wherein the mobile terminal is further configured to receive recommendation information, sleep aid music, and alarm clock instruction information sent by the cloud platform.
3. The sleep analysis system as claimed in claim 1, wherein the distance between the mobile terminal and the detected user is not more than 2 meters.
4. The sleep analysis system according to claim 1, wherein the mobile terminal is further configured to obtain a current geographic location of the user, and send the geographic location of the user to the cloud platform.
5. The sleep analysis system as claimed in claim 4, wherein the cloud platform obtains climate information at a current geographical location from the geographical location.
6. The sleep analysis system according to claim 1, wherein the mobile terminal is further configured to send the feature information to the cloud platform before sending the feature information to the cloud platform
And classifying the sound information according to the characteristic information, wherein the classification comprises a user sleep event classification and a noise classification.
7. A sleep analysis method comprises a mobile terminal and a cloud platform communicated with the mobile terminal, and is characterized by comprising the following steps:
the mobile terminal detects sound information of a user during sleeping, utilizes a sound identification technology to extract characteristic information in the sound information, and sends the characteristic information to the cloud platform, wherein the sound information comprises user sleeping sound and environmental noise;
and the cloud platform receives the characteristic information, and inquires a preset voice library according to the characteristic information to obtain sleep guidance information corresponding to the user.
8. The sleep analysis method as claimed in claim 7, wherein the mobile terminal detects sound information of the user during sleep, extracts feature information in the sound information by using a sound recognition technology, and before sending the feature information to the cloud platform, further comprises
And classifying the sound information according to the characteristic information, wherein the classification comprises a user sleep event classification and a noise classification.
9. The sleep analysis method as claimed in claim 7, wherein the mobile terminal detects sound information of the user during sleep, extracts feature information in the sound information by using a sound recognition technology, and sends the feature information to the cloud platform, and then further comprises
The mobile terminal acquires the geographic position of the current user and sends the geographic position of the user to the cloud platform.
10. The sleep analysis method as claimed in claim 7, wherein the cloud platform receives the feature information and then the feature information is transmitted to the cloud platform
And acquiring climate information at the geographical position according to the geographical position sent by the mobile terminal.
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| CN201610151041.XA CN105845153A (en) | 2016-03-16 | 2016-03-16 | Sleep analysis system and method thereof |
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| CN106419841A (en) * | 2016-09-13 | 2017-02-22 | 深圳市迈迪加科技发展有限公司 | Method, device and system for evaluating sleep |
| CN107374223A (en) * | 2017-08-28 | 2017-11-24 | 赛博龙科技(北京)有限公司 | A kind of closed-loop system, device and intelligent pillow for detecting, analyzing sleep |
| CN108389588A (en) * | 2018-04-26 | 2018-08-10 | 福建师范大学协和学院 | A kind of alarm clock intelligent controlling device and control method for sleep disturbance crowd |
| CN110517660A (en) * | 2019-08-22 | 2019-11-29 | 珠海格力电器股份有限公司 | Noise reduction method and device based on embedded Linux real-time kernel |
| CN110710954A (en) * | 2019-09-20 | 2020-01-21 | 长沙友记互娱网络信息有限公司 | Method for detecting sleep quality through sound collection |
| CN114065059A (en) * | 2022-01-17 | 2022-02-18 | 浙江想能睡眠科技股份有限公司 | Sleep posture recommendation control method and system based on big data and storage medium |
| CN115148222A (en) * | 2022-08-31 | 2022-10-04 | 安徽声讯信息技术有限公司 | Industrial fluid detection method and system |
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| CN106419841A (en) * | 2016-09-13 | 2017-02-22 | 深圳市迈迪加科技发展有限公司 | Method, device and system for evaluating sleep |
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| CN107374223A (en) * | 2017-08-28 | 2017-11-24 | 赛博龙科技(北京)有限公司 | A kind of closed-loop system, device and intelligent pillow for detecting, analyzing sleep |
| CN108389588A (en) * | 2018-04-26 | 2018-08-10 | 福建师范大学协和学院 | A kind of alarm clock intelligent controlling device and control method for sleep disturbance crowd |
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| CN115148222A (en) * | 2022-08-31 | 2022-10-04 | 安徽声讯信息技术有限公司 | Industrial fluid detection method and system |
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Application publication date: 20160810 |