CN104680456A - Method for monitoring amount of human neck exercise - Google Patents
Method for monitoring amount of human neck exercise Download PDFInfo
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Abstract
The invention discloses a method for monitoring the amount of human neck exercise. The method comprises the following steps of collecting angular speed data by a gyro sensor, obtaining the strength data of neck exercise according to the angular speed data by a single-chip microcomputer, obtaining time information through a clock module by the single-chip microcomputer, then sending the strength data of neck exercise and the time information to a mobile phone by the single-chip microcomputer, sending the strength data of neck exercise, the time information and geographical location information obtained by the mobile phone to a sever by the mobile phone, storing the information by the server, calculating the average exercise frequency information of a user, and sending out prompt information by the mobile phone. According to the management method, the user can visually obtain the information such as the amount of neck exercise through data transmission and data statistics among a collection device, the mobile phone and the server, and the method reminds the user of reinforcing or maintaining the amount of neck exercise; moreover, the user can know the amount of neck exercise and the health condition of the neck at any time, so that good effects of neck health protection and disease prevention are achieved.
Description
Technical field
The present invention relates to health management method, particularly relate to a kind of neck amount of exercise monitoring method.
Background technology
Along with the progress of society, the rhythm of life of people is more and more faster, for the working clan of the industries such as IT, due to human body be sitting in computer for a long time before work, make neck bear larger burden, especially when people concentrate one's energy to devote oneself to work time, neck can not get activity for a long time, if things go on like this, the place such as cervical vertebra, shoulder is easily caused to occur ailing.According to existing general knowledge, people can obtain the method for a variety of movable neck on the internet, but these methods need people initiatively to go to adopt, motion, in the work of anxiety, people are difficult to ensure with the fixed time interval initiatively dynamic neck of deactivation, in prior art, usual employing neck exerciser, the body-building equipments such as exercising machine are massaged neck, physiotherapy, this mode needs user spontaneous, performing physical exercise initiatively, be difficult to adhere to for a long time, when the mode that user adopts timed reminding to take exercise, then no matter whether user moves during timing, prompting is put at a fixed time in capital, be difficult to the validity realizing prompting function, simultaneously, user cannot understand the amount of exercise of neck and the health status of neck, neck health care and prevention from suffering from the diseases effect can not be played.
Summary of the invention
The technical problem to be solved in the present invention is, for the deficiencies in the prior art, a kind of neck amount of exercise monitoring method is provided, this management method by harvester, between mobile phone and server data transmission and data statistics, make user can obtain the information such as neck movement amount intuitively, realize the having access to of above-mentioned information, add up and record, and reminding user is strengthened or kept neck movement amount.
For solving the problems of the technologies described above, the present invention adopts following technical scheme.
A kind of neck amount of exercise monitoring method, it comprises the steps: step S1, gathered by the active state of a harvester to neck, this harvester is worn on neck, it includes single-chip microcomputer and is electrically connected at the gyro sensor of single-chip microcomputer, bluetooth communication and clock module, described gyro sensor is sent to single-chip microcomputer to it at the angular velocity data of X-axis, Y-axis and Z-direction, single-chip microcomputer obtains neck movement intensity data according to this angular velocity data, and single-chip microcomputer is by clock module acquisition time information; Step S2, neck movement intensity data and temporal information are sent to a mobile phone by bluetooth communication by described single-chip microcomputer, by mobile phone, the geographical location information that neck movement intensity data, temporal information and this mobile phone obtain is packaged into packet, then this packet is uploaded onto the server by internet; Step S3, described server decompressed data bag, preserve neck movement intensity data, geographical location information and temporal information, generate statistical report form, the mean motion frequency information of user is calculated according to statistical report form, and this mean motion frequency information is back to mobile phone, sends information to make mobile phone.
Preferably, described server includes database and WEB server, the HTTP request that described WEB server is sent by internet for receiving mobile phone, and reply the uploading data request of mobile phone, downloading data request or obtain report request, described mobile phone is with GPS module and by this GPS module acquisition geographical location information.
Preferably, described server also includes data filing server and file server, this data filing server is used for neck movement intensity data, geographical location information and temporal information carry out data storage and data are had access to, wherein, data storage procedure is: when WEB server receives the packet that mobile phone sends, EJB is stored to data filing server calls data, data filing server decompressed data bag, obtain neck movement intensity data, geographical location information and temporal information, and be organized into archive file by the archive file format preset, and be saved to file server, then this user ID corresponding to archive file name and initial time is recorded in a database, data have access to process: when WEB server receive that mobile phone sends have access to historical data request time, EJB is had access to data filing server calls data, data server inquires about corresponding filename according to user ID, temporal information from database, again from file server one by one read, resolution file, obtain this neck movement intensity data, geographical location information and temporal information, then the data of acquisition are packaged into packet, again this Packet Generation is returned WEB server, download this packet to make mobile phone from WEB server.
Preferably, described file server is for storing the archive file of neck movement intensity data, geographical location information and temporal information, data filing server, by resolving archive file, obtains this user at any time or the neck movement intensity data of time period and the geographical location information at place thereof.
Preferably, described server also comprises data analytics server, described data analytics server is used for the exercise intensity data, temporal information and/or the geographical location information that obtain from data filing server in Preset Time, adds up amount of exercise sequence in units of the time.
Preferably, in the statistic processes of described amount of exercise sequence, comprise the amount of exercise-Annual distribution matrix statistic procedure by this individual subscriber: data filing server searches the archive file of user's all time periods in a database, resolve one by one for each archive file, obtain neck movement intensity data and time series thereof, splice successively in chronological order, the neck movement intensity data of this user spliced all time periods and time series thereof are packaged into packet, by this Packet Generation to data analytics server; Described data analytics server take preset duration as the time interval, calculates the effective exercise amount sequence of user within this time interval and lost motion amount sequence, and is saved to database.
Preferably, in the statistic processes of described amount of exercise sequence, comprise the amount of exercise-longitude and latitude distribution matrix statistic procedure by this individual subscriber: described database is preset with the amount of exercise-longitude and latitude grid matrix A of individual subscriber, the initial cell value of this matrix A is empty; Described data analytics server is to the neck movement intensity data of data filing server request user all time periods and geographic position sequence thereof; Described data filing server searches the archive file of user's all time periods in a database, resolve one by one for each archive file, obtain neck movement intensity data and geographic position sequence thereof, splice successively in chronological order, the neck movement intensity of this user spliced all time periods and geographic position sequence thereof are packaged into packet, by this Packet Generation to data analytics server; Described data analytics server resolves this packet, neck movement intensity data and geographic position sequence thereof is charged to matrix A, afterwards matrix A is saved to database.
Preferably, the communication process of described harvester and mobile phone comprises: described harvester power-up initializing; Described harvester judges bluetooth connection status, if disconnect, then enters data temporary storage pattern, if connect, then determines whether temporal data, if having, then passes through bluetooth Batch sending temporal data to mobile phone, if nothing, then enters instantaneous transmission pattern.
Preferably, in described data temporary storage pattern, single-chip microcomputer reads the data that gyro sensor exports, and calculates user's neck movement intensity data, obtains current time afterwards, finally neck movement intensity data and current time are bound, keep in single-chip microcomputer RAM.
Preferably, in described instantaneous transmission pattern, described single-chip microcomputer reads the data that gyro sensor exports, and calculates user's neck movement intensity data, by bluetooth, neck movement intensity data is sent to mobile phone in real time afterwards.
In neck amount of exercise monitoring method disclosed by the invention, gyro sensor in harvester to it in X-axis, the angular velocity data of Y-axis and Z-direction is sent to single-chip microcomputer, single-chip microcomputer obtains neck movement intensity data according to this angular velocity data, single-chip microcomputer is by clock module acquisition time information, neck movement intensity data and temporal information are sent to mobile phone by bluetooth communication by described single-chip microcomputer afterwards, by mobile phone by neck movement intensity data, the geographical location information that temporal information and this mobile phone obtain is packaged into packet, again this packet is uploaded onto the server by internet, described server decompressed data bag, preserve neck movement intensity data, geographical location information and temporal information, generate statistical report form, the mean motion frequency information of user is calculated according to statistical report form, and this mean motion frequency information is back to mobile phone, strengthen to make mobile phone reminding user or keep neck movement amount.This neck amount of exercise monitoring method by harvester, between mobile phone and server data transmission and data statistics, make user can obtain the information such as neck movement amount intuitively, and reminding user is strengthened or is kept neck movement amount, simultaneously, user can understand the amount of exercise of neck and the health status of neck at any time, thus plays good neck health care and prevention from suffering from the diseases effect.
Accompanying drawing explanation
Fig. 1 is the composition frame chart of server.
The process flow diagram of the communication process of Fig. 2 harvester and mobile phone.
Fig. 3 is the process flow diagram of data temporary storage pattern.
Fig. 4 is the process flow diagram of instantaneous transmission pattern.
Embodiment
Below in conjunction with drawings and Examples, the present invention is described in more detail.
The invention discloses a kind of neck amount of exercise monitoring method, as shown in Figure 1, it comprises the steps:
Step S1, gathered by the active state of a harvester to neck, this harvester is worn on neck, its gyro sensor including single-chip microcomputer and be electrically connected at single-chip microcomputer, bluetooth communication and clock module, described gyro sensor to it in X-axis, the angular velocity data of Y-axis and Z-direction is sent to single-chip microcomputer, single-chip microcomputer obtains neck movement intensity data according to this angular velocity data, as a kind of optimal way, in order to continuously monitor user ' neck movement intensity data, single-chip microcomputer can read with prefixed time interval the data that gyro sensor detects, simultaneously, single-chip microcomputer is by clock module acquisition time information, harvester can be driven to move together when user's neck movement, make the gyro sensor of harvester inside produce sensing data to export,
Step S2, neck movement intensity data and temporal information are sent to one with the mobile phone of GPS function by bluetooth communication by described single-chip microcomputer, by mobile phone, the geographical location information that neck movement intensity data, temporal information and this mobile phone obtain is packaged into packet, then this packet is uploaded onto the server by internet;
Step S3, described server decompressed data bag, preserve neck movement intensity data, geographical location information and temporal information, generate statistical report form, calculate the mean motion frequency information of user according to statistical report form, and this mean motion frequency information is back to mobile phone, to make mobile phone send information, thus reminding user is strengthened or is kept neck movement amount, and the amount of exercise data of user are added up, and under the prompting of mobile phone, user can strengthen neck activity in time.In practical application, above-mentioned mean motion frequency information can also be overall movement frequency information etc.
Harvester involved in above-mentioned steps S1, it is built-in with the assemblies such as gyro sensor, single-chip microcomputer, low-power consumption Bluetooth communication chip, real-time clock, battery, hummer, by low-power consumption Bluetooth technology, user's neck movement intensity is transferred to smart mobile phone real-time or non real-time.The physical construction such as buckle, suspension ring can also be had, can be positioned over by suitable mode near user's cervical vertebra.Concrete structure also comprises: man-machine interaction unit, and it is electrically connected at single-chip microcomputer, and the steering order for performing single-chip microcomputer sends alarm and enters the operating instructions to single-chip microcomputer; Power module, it is for providing power supply to device body.
Mobile phone involved in above-mentioned steps S2, in this mobile phone, default application program is installed, and with low-power consumption Bluetooth chip, can be communicated with gyro sensor by low-power consumption Bluetooth signal, by low-power consumption Bluetooth communication, user's neck movement intensity data that gyro sensor sends can be received, by neck movement recognizer, can identify that user's neck is current whether to be kept in motion or stationary state, and periodic statistics effective exercise frequency, if effective exercise frequency is too low, prompting is sent by mobile phone or control harvester, after harvester detects user's persistent movement neck a period of time, prompting can be eliminated, by low-power consumption Bluetooth communication, harvester work can be controlled, dormancy, image data, send buzzing to remind, measure battery dump energy etc., by low-power consumption Bluetooth communication, configuration data can be generated and be sent to harvester, as current time, sampling interval, motion strength threshold, ringing-type is reminded in buzzing, the buzzing duration, user length of one's sleep etc., with GPS function, the latitude/longitude information of the current geographic location of user can be obtained, and can by latitude and longitude information and temporal information and at that time user's neck movement intensity data bind and store, with mobile network communication function, can connection server login user account, neck movement intensity, geographical location information and time information sequence are sent to server by http protocol periodicity (as once per hour), and data or instruction can be received from server.
About the data handling procedure of server, described server includes database, WEB server, data analytics server and file server, the HTTP request that described WEB server is sent by internet for receiving mobile phone, and reply the uploading data request of mobile phone, downloading data request or obtain report request, thus facilitate data storage, statistics and download.
On this basis, described server also includes data filing server and file server, and this data filing server is used for carrying out data storage to neck movement intensity data, geographical location information and temporal information and data are had access to, wherein,
Data storage procedure is: when WEB server receives the packet that mobile phone sends, to data filing server calls data storage component model (EnterpriseJavaBean, EJB), data filing server decompressed data bag, obtain neck movement intensity data, geographical location information and temporal information, and be organized into archive file by the archive file format preset, and be saved to file server, then record this user ID corresponding to archive file name and initial time in a database;
Data have access to process: when WEB server receive that mobile phone sends have access to historical data request time, EJB is had access to data filing server calls data, data server inquires about corresponding filename according to user ID, temporal information from database, again from file server one by one read, resolution file, obtain this neck movement intensity data, geographical location information and temporal information, then the data of acquisition are packaged into packet, again this Packet Generation is returned WEB server, download this packet to make mobile phone from WEB server.
About file server, file server is for storing the archive file of neck movement intensity data, geographical location information and temporal information, data filing server, by resolving archive file, obtains this user at any time or the neck movement intensity data of time period and the geographical location information at place thereof.
About data analytics server, described data analytics server is used for the exercise intensity data obtained from data filing server in Preset Time, temporal information and/or geographical location information, amount of exercise sequence and effective exercise Frequency Sequence is added up in units of the time, in the present embodiment, effective exercise refers to that the neck activity of user reaches certain amplitude and run duration reaches certain duration, lost motion refers to that the neck activity of user does not reach above-mentioned amplitude and duration, the two angular velocity data binding time data all having single-chip microcomputer to feed back to according to gyroscope is determined.
About the statistic processes of amount of exercise sequence, the present invention proposes following embodiment.
Embodiment 1:
In the present embodiment, the statistic processes of amount of exercise sequence comprises the amount of exercise-Annual distribution matrix statistic procedure by this individual subscriber:
A, data filing server search the archive file of user's all time periods in a database, resolve one by one for each archive file, obtain neck movement intensity data and time series thereof, splice successively in chronological order, the neck movement intensity data of this user spliced all time periods and time series thereof are packaged into packet, by this Packet Generation to data analytics server;
B, described data analytics server take preset duration as the time interval, calculate the effective exercise amount sequence of user within this time interval and lost motion amount sequence, and are saved to database.
Embodiment 2:
In the present embodiment, the statistic processes of amount of exercise sequence comprises the amount of exercise-longitude and latitude distribution matrix statistic procedure by this individual subscriber:
A, described database are preset with the amount of exercise-longitude and latitude grid matrix A of individual subscriber, and the initial cell value of this matrix A is empty;
B, described data analytics server are to the neck movement intensity data of data filing server request user all time periods and geographic position sequence thereof;
C, described data filing server search the archive file of user's all time periods in a database, resolve one by one for each archive file, obtain neck movement intensity data and geographic position sequence thereof, splice successively in chronological order, the neck movement intensity of this user spliced all time periods and geographic position sequence thereof are packaged into packet, by this Packet Generation to data analytics server;
D, described data analytics server resolve this packet, neck movement intensity data and geographic position sequence thereof are charged to matrix A, afterwards matrix A is saved to database.
In above-mentioned steps c, archive file lattice store with text formatting, and text form is defined as:
BaseTime：YYYY/MM/DD/HH/MM/SS/mm
Data:TimeStrenthLongitudeLatitude
Data:TimeStrenthLongitudeLatitude
…
File initial row represents the initial time of this file, as:
BaseTime：2013/01/01/14/00/00/00/00
Representing this file start times is on 01 01st, 2013, when 14 0 point 0 second 0 millisecond;
The neck movement intensity of certain time point of Data field references user and positional information, as:
Data:60000150205°37’25.73”57°46’13”；
Represent that user's neck movement intensity is 150, and its geographic location longitude is 205 ° 37 ' 25.73 after distance initial time 60000 milliseconds (namely 60 seconds) ", latitude is 57 ° 46 ' 13 ".
Embodiment 3:
In the present embodiment, the statistic processes of amount of exercise sequence comprises the motion total amount-longitude and latitude distribution matrix statistic procedure by multiple user:
A, described database are preset with the motion total amount-longitude and latitude accumulation grid matrix T of multiple user, and the initial cell value of this matrix T is empty;
B, described data analytics server search the individual neck movement amount-longitude and latitude grid matrix A of multiple user in a database, obtain matrix A i, wherein i=1,2,3... by accumulative for multiple matrix A;
The personal user's amount of exercise recorded in each matrix unit of matrix A i correspondence is charged to matrix unit corresponding in matrix T by c, described data analytics server one by one, afterwards matrix T is saved to database.
Embodiment 4:
In the present embodiment, this amount of exercise sequence statistic process comprises and periphery population comparisons neck effective exercise frequency step:
A, described mobile phone obtain the longitude and latitude data of user geographic location by GPS function, and these longitude and latitude data are sent to server;
B, described data analytics server search the individual neck movement intensity data of this user at this longitude and latitude from matrix A, and this neck movement intensity data comprises effective amount of exercise P and lost motion amount P*;
C, described data analytics server search the neck movement intensity data of this user multiple users of this longitude and latitude from matrix T, and this neck movement intensity data comprises effective exercise total amount S and lost motion total amount S*;
D, described data analytics server judge, if P:(P+P*) be greater than S:(S+S*), then show that the neck effective exercise frequency of this user is better than the mean value of periphery crowd movement frequency, if P:(P+P*) be less than S:(S+S*), then show that the neck effective exercise frequency of this user is weaker than the mean value of periphery crowd movement frequency;
The judged result of data analytics server is back to mobile phone by e, described WEB server, and described mobile phone shows judged result, and reminding user is strengthened or kept amount of exercise.
About data-transmission mode, shown in composition graphs 2 to Fig. 4, the communication process of harvester and mobile phone comprises:
A, described harvester power-up initializing;
B, described harvester judge bluetooth connection status, if disconnect, then enter data temporary storage pattern, if connect, then determine whether temporal data, if having, then pass through bluetooth Batch sending temporal data to mobile phone, if nothing, then enter instantaneous transmission pattern.
Further, in described data temporary storage pattern, single-chip microcomputer reads the data that gyro sensor exports, and calculates user's neck movement intensity data, obtains current time afterwards, finally neck movement intensity data and current time are bound, keep in single-chip microcomputer RAM.Under this pattern, after harvester and mobile phone disconnecting, can enter " data temporary storage pattern ", in internal memory, preserve user's neck movement data and temporal information, with transmission Legacy Data of can packing after mobile phone recovers to be connected, and to exit " data temporary storage pattern ".
In instant transmission mode, described single-chip microcomputer reads the data that gyro sensor exports, and calculates user's neck movement intensity data, by bluetooth, neck movement intensity data is sent to mobile phone in real time afterwards.By the model selection of data transmission between harvester and mobile phone, many Bluetooth communications can be adapted to and be interrupted or the multiple environment such as continue, and effectively can reduce Bluetooth power consumption.Under this pattern, harvester and mobile phone are set up after low-power consumption bluetooth is connected, and gyro sensor after getting user's neck movement intensity data at every turn, send it to mobile phone immediately, the data of this mode transfer are not with temporal information, to reduce transmitted data amount, reduce average power consumption.
In neck amount of exercise monitoring method disclosed by the invention, gyro sensor in harvester to it in X-axis, the angular velocity data of Y-axis and Z-direction is sent to single-chip microcomputer, single-chip microcomputer obtains neck movement intensity data according to this angular velocity data, single-chip microcomputer is by clock module acquisition time information, neck movement intensity data and temporal information are sent to mobile phone by bluetooth communication by described single-chip microcomputer afterwards, by mobile phone by neck movement intensity data, the geographical location information that temporal information and this mobile phone obtain is packaged into packet, again this packet is uploaded onto the server by internet, described server decompressed data bag, preserve neck movement intensity data, geographical location information and temporal information, generate statistical report form, the mean motion frequency information of user is calculated according to statistical report form, and this mean motion frequency information is back to mobile phone, strengthen to make mobile phone reminding user or keep neck movement amount.This neck amount of exercise monitoring method by harvester, between mobile phone and server data transmission and data statistics, make user can obtain the information such as neck movement amount intuitively, and reminding user is strengthened or is kept neck movement amount, simultaneously, user can understand the amount of exercise of neck and the health status of neck at any time, thus plays good neck health care and prevention from suffering from the diseases effect.
The above is preferred embodiment of the present invention, is not limited to the present invention, all make in technical scope of the present invention amendment, equivalent to replace or improvement etc., all should be included in scope that the present invention protects.
Claims (10)
1. a neck amount of exercise monitoring method, is characterized in that, comprises the steps:
Step S1, gathered by the active state of a harvester to neck, this harvester is worn on neck, it includes single-chip microcomputer and is electrically connected at the gyro sensor of single-chip microcomputer, bluetooth communication and clock module, described gyro sensor is sent to single-chip microcomputer to it at the angular velocity data of X-axis, Y-axis and Z-direction, single-chip microcomputer obtains neck movement intensity data according to this angular velocity data, and single-chip microcomputer is by clock module acquisition time information;
Step S2, neck movement intensity data and temporal information are sent to a mobile phone by bluetooth communication by described single-chip microcomputer, by mobile phone, the geographical location information that neck movement intensity data, temporal information and this mobile phone obtain is packaged into packet, then this packet is uploaded onto the server by internet;
Step S3, described server decompressed data bag, preserve neck movement intensity data, geographical location information and temporal information, generate statistical report form, the mean motion frequency information of user is calculated according to statistical report form, and this mean motion frequency information is back to mobile phone, sends information to make mobile phone.
2. neck amount of exercise monitoring method as claimed in claim 1, it is characterized in that, described server includes database and WEB server, the HTTP request that described WEB server is sent by internet for receiving mobile phone, and reply the uploading data request of mobile phone, downloading data request or obtain report request, described mobile phone is with GPS module and by this GPS module acquisition geographical location information.
3. neck amount of exercise monitoring method as claimed in claim 2, it is characterized in that, described server also includes data filing server and file server, this data filing server is used for carrying out data storage to neck movement intensity data, geographical location information and temporal information and data are had access to, wherein
Data storage procedure is: when WEB server receives the packet that mobile phone sends, EJB is stored to data filing server calls data, data filing server decompressed data bag, obtain neck movement intensity data, geographical location information and temporal information, and be organized into archive file by the archive file format preset, and be saved to file server, then record this user ID corresponding to archive file name and initial time in a database;
Data have access to process: when WEB server receive that mobile phone sends have access to historical data request time, EJB is had access to data filing server calls data, data server inquires about corresponding filename according to user ID, temporal information from database, again from file server one by one read, resolution file, obtain this neck movement intensity data, geographical location information and temporal information, then the data of acquisition are packaged into packet, again this Packet Generation is returned WEB server, download this packet to make mobile phone from WEB server.
4. neck amount of exercise monitoring method as claimed in claim 3, it is characterized in that, described file server is for storing the archive file of neck movement intensity data, geographical location information and temporal information, data filing server, by resolving archive file, obtains this user at any time or the neck movement intensity data of time period and the geographical location information at place thereof.
5. neck amount of exercise monitoring method as claimed in claim 3, it is characterized in that, described server also comprises data analytics server, described data analytics server is used for the exercise intensity data, temporal information and/or the geographical location information that obtain from data filing server in Preset Time, adds up amount of exercise sequence in units of the time.
6. neck amount of exercise monitoring method as claimed in claim 5, is characterized in that, in the statistic processes of described amount of exercise sequence, comprise the amount of exercise-Annual distribution matrix statistic procedure by this individual subscriber:
Data filing server searches the archive file of user's all time periods in a database, resolve one by one for each archive file, obtain neck movement intensity data and time series thereof, splice successively in chronological order, the neck movement intensity data of this user spliced all time periods and time series thereof are packaged into packet, by this Packet Generation to data analytics server;
Described data analytics server take preset duration as the time interval, calculates the effective exercise amount sequence of user within this time interval and lost motion amount sequence, and is saved to database.
7. neck amount of exercise monitoring method as claimed in claim 5, is characterized in that, in the statistic processes of described amount of exercise sequence, comprise the amount of exercise-longitude and latitude distribution matrix statistic procedure by this individual subscriber:
Described database is preset with the amount of exercise-longitude and latitude grid matrix A of individual subscriber, and the initial cell value of this matrix A is empty;
Described data analytics server is to the neck movement intensity data of data filing server request user all time periods and geographic position sequence thereof;
Described data filing server searches the archive file of user's all time periods in a database, resolve one by one for each archive file, obtain neck movement intensity data and geographic position sequence thereof, splice successively in chronological order, the neck movement intensity of this user spliced all time periods and geographic position sequence thereof are packaged into packet, by this Packet Generation to data analytics server;
Described data analytics server resolves this packet, neck movement intensity data and geographic position sequence thereof is charged to matrix A, afterwards matrix A is saved to database.
8. neck amount of exercise monitoring method as claimed in claim 1, it is characterized in that, the communication process of described harvester and mobile phone comprises:
Described harvester power-up initializing;
Described harvester judges bluetooth connection status, if disconnect, then enters data temporary storage pattern, if connect, then determines whether temporal data, if having, then passes through bluetooth Batch sending temporal data to mobile phone, if nothing, then enters instantaneous transmission pattern.
9. neck amount of exercise monitoring method as claimed in claim 8, it is characterized in that, in described data temporary storage pattern, single-chip microcomputer reads the data that gyro sensor exports, calculate user's neck movement intensity data, obtain current time afterwards, finally neck movement intensity data and current time are bound, keep in single-chip microcomputer RAM.
10. neck amount of exercise monitoring method as claimed in claim 9, it is characterized in that, in described instantaneous transmission pattern, described single-chip microcomputer reads the data that gyro sensor exports, calculate user's neck movement intensity data, by bluetooth, neck movement intensity data is sent to mobile phone in real time afterwards.
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| CN107591191A (en) * | 2017-09-29 | 2018-01-16 | 广州市香港科大霍英东研究院 | The analysis storage method and system of exercise data |
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| CN113616466A (en) * | 2020-05-08 | 2021-11-09 | 未来穿戴技术有限公司 | Massage mode generation method and device, electronic equipment and storage medium |
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