CN106730772B - A kind of times of exercise monitoring method and device - Google Patents

Abstract

The invention discloses a method and device for monitoring the frequency of exercise in the technical field of scientific sports. Real-time data acquisition subsystem, the central processor is electrically bidirectionally connected to the data analysis system, the data analysis system includes a motion pattern data analysis and recording subsystem and a motion pattern comparison analysis subsystem, and the central processor is electrically output connected to the wireless The data transmission unit, the electrical output of the wireless data transmission unit is connected to the mobile terminal. Compared with the existing exercise frequency monitoring device, the present invention senses the movement of the athlete through the cooperation of the acceleration sensor and the vibration sensor. Further, the judgment accuracy is higher, so that the counting data of the athlete when exercising is more accurate.

Description

Method and device for monitoring exercise frequency

technical field

The invention relates to the technical field of scientific sports, in particular to a method and device for monitoring exercise times.

Background technique

sport, an activity involving physical strength and skill governed by a set of rules or habits, usually of a competitive nature. The time and space of things are never uniform, resulting in universal movement, and the universal movement produces and destroys everything. There is no object that does not move, and there is no movement that can leave the object. As smart devices become more and more popular, people are getting used to using smart devices to record their daily exercise. For example, only mobile phones and smart bracelets can record a person's daily exercise. Walking steps, running steps, etc. A basic requirement of this recording function is to be able to intelligently identify a person's walking steps, and this recognition project is fully automatic without human intervention. It is a process of recognition called pattern recognition in computing science. Since everyone has different habits when exercising, and the range of motion of the same action is also different, ordinary smart bracelets can only distinguish and recognize poorly. The counting error is relatively large. Therefore, we propose a method and device for monitoring the number of movements.

Contents of the invention

The purpose of the present invention is to provide a method and device for monitoring the frequency of exercise to solve the problem mentioned in the above background technology that because everyone has different habits when exercising, and the range of motion of the same action is also different, ordinary smart bracelets can only The ability to distinguish and recognize is relatively poor, so the problem of counting motion actions is relatively large.

In order to achieve the above object, the present invention provides the following technical solutions: a monitoring device for exercise times, including a central processing unit, the central processing unit is electrically bidirectionally connected to a data acquisition system, and the data acquisition system includes an exercise mode data acquisition subsystem and Sports real-time data acquisition subsystem, the central processing unit is electrically bidirectionally connected to the data analysis system, the data analysis system includes a motion pattern data analysis recording subsystem and a motion pattern comparative analysis subsystem, and the central processing unit is electrically output and connected A wireless data transmission unit, the electrical output of the wireless data transmission unit is connected to the mobile terminal, the electrical output of the central processing unit is connected to the counter driving unit, and the electrical output of the counter driving unit is connected to the counter;

When the exercise frequency monitoring device is working, the exercise mode data acquisition subsystem collects the data of the sports action input by the athlete, and the exercise mode data analysis and recording subsystem collects the data of the exerciser input exercise action collected by the exercise mode data acquisition subsystem Analyze, analyze what kind of motion the movement is, and record the data after the analysis of the movement. The real-time data acquisition subsystem of the movement collects the data when the athlete is exercising in real time. Discriminate the motion of the athlete to determine what kind of motion the athlete is performing. Whenever the motion pattern comparison and analysis subsystem judges the motion of the athlete, the counter performs calculations in sequence, and finally transmits it to the motion through the wireless data transmission unit. or a mobile terminal, and the mobile terminal displays the data.

Preferably, the motion mode data acquisition subsystem includes a data acquisition unit, the data acquisition unit is electrically connected to the acceleration sensor and the vibration sensor, and the electrical output of the data acquisition unit is connected to the processor, and the processor is electrically The output is connected to the induction signal amplification unit, the electrical output of the induction signal amplification unit is connected to the induction signal detection unit, and the electrical output of the induction signal detection unit is connected to the data storage unit;

When the central processing unit first controls the data acquisition system to collect the exercise pattern data of the athlete, through the cooperation of the acceleration sensor and the vibration sensor, the movement habit data of the athlete when exercising is sensed, and the data acquisition unit collects the sensed data , the collected data is transmitted to the sensing signal amplification unit through the processor, and the sensing signal amplification unit amplifies the collected signal to make the sensing signal clearer, and the amplified and processed data is detected by the sensing signal detection unit, so that the collected The data is more accurate, and the detected data is stored through the data storage unit.

Preferably, the real-time motion data acquisition subsystem includes an information acquisition unit, the information acquisition unit is electrically connected to an acceleration sensor and a vibration sensor, and the electrical output of the information acquisition unit is connected to a microprocessor, and the microprocessor The electrical output is connected to the data processing unit, the electrical output of the data processing unit is connected to the A/D conversion unit, and the electrical output of the A/D conversion unit is connected to the information storage unit;

When the sports real-time data collection subsystem collects sports data in real time, the information collection unit collects the data on the real-time acceleration sensor and vibration sensor when the athlete is exercising, and the collected data is transmitted to the data processing unit through the microprocessor For data processing, the data processing unit amplifies and detects the collected data, and the processed data is converted into a data format by the A/D conversion unit, so that the data is converted into a format that is convenient for storage and transmission, and the converted data is passed through The information storage unit performs information storage.

Preferably, the motion pattern data analysis and recording subsystem includes an information extraction unit, the electrical output of the information extraction unit is connected to the data optimization processing unit, the electrical output of the data optimization processing unit is connected to the controller, and the electrical output of the controller is The output is connected to the calculation unit, and the electrical output of the calculation unit is connected to the record storage unit;

When the sports mode data analysis and recording subsystem performs data analysis and recording, the information extraction unit extracts the sports action habit data collected by the sports mode data acquisition subsystem, and the data optimization processing unit optimizes the extracted data, optimizes The processed data is then transmitted to the calculation unit through the controller for calculation. The calculation unit analyzes the exercise habits of the athlete through the inherent calculation algorithm. to store.

Preferably, the motion pattern comparative analysis subsystem includes a data extraction unit, the data extraction unit, the electrical output of the data extraction unit is connected to the data screening unit, the electrical output of the data screening unit is connected to the server, and the electrical output of the server is The data output is connected to the data comparison unit, the data comparison unit is electrically output to the data analysis unit, the data analysis unit is electrically output connected to the judgment reasoning unit, and the judgment reasoning unit is electrically output connected to the data feedback unit;

When the data extraction unit performs real-time analysis and processing on the data collected by the sports real-time data collection subsystem, and first judges the sports actions of the athletes, when the judgment is made, the data screening unit first performs a real-time analysis on the data collected by the sports real-time data collection subsystem. Screening, select several groups of athletes with clearer movement data, and compare the data after screening through the data comparison unit, and compare the data after data comparison with the data after data analysis and recording by the sports mode data analysis and recording subsystem in the data comparison unit , the compared data is analyzed by the data analysis unit, and the analyzed data is judged by the judgment reasoning unit to determine what sports action the athlete is performing in real time, and after judging the exercise behavior of the athlete, Feedback to the central processing unit through the data feedback unit.

Preferably, the exercise frequency monitoring method comprises the steps of:

S1: Sports mode input: Wear a wristband or anklet with an acceleration sensor and a vibration sensor on the hands and feet of the athlete, and start the action mode input. The athlete performs multiple inputs for the same exercise mode action , the exercise mode data acquisition subsystem collects the data of the athlete's input exercise action, which is convenient for subsequent analysis and recording;

S2: Analysis and recording of exercise patterns: The exercise pattern data analysis and recording subsystem analyzes the data of sports actions input by athletes collected by the exercise pattern data acquisition subsystem, analyzes what kind of exercise actions the exercise actions are, and records the exercise actions The analyzed data is recorded to provide comparative data for the follow-up exercise pattern comparison analysis subsystem to judge the real-time movement of the athlete;

S3: Real-time sports monitoring: The real-time sports data acquisition subsystem collects the data of the athletes when they are exercising in real time, providing data basis for subsequent sports action identification and counting;

S4: Judgment of exercise mode: when the athlete is exercising, firstly judge the exercise action of the athlete through the exercise pattern comparison and analysis subsystem, and judge what kind of exercise the athlete is performing;

S5: Calculation of exercise times: after judging the exercise action, start counting. Whenever the exercise pattern comparison and analysis subsystem discriminates the exerciser's exercise action, the counter calculates in sequence;

S6: Display of data: the counted data is displayed on the mobile terminal.

Compared with the prior art, the beneficial effect of the present invention is: compared with the existing exercise frequency monitoring device, the present invention senses the movement of the athlete through the cooperation of the acceleration sensor and the vibration sensor, and then makes the judgment The accuracy is higher, thereby making the counting data of the athlete more accurate when exercising.

Description of drawings

Fig. 1 is a schematic block diagram of the present invention;

Fig. 2 is a functional block diagram of the motion pattern data acquisition subsystem of the present invention;

Fig. 3 is motion real-time data collection subsystem of the present invention;

Fig. 4 is the motion pattern data analysis recording subsystem of the present invention;

Fig. 5 is the motion pattern comparative analysis subsystem of the present invention;

Fig. 6 is a flow chart of the method for monitoring exercise frequency of the present invention.

In the figure: 1 central processing unit, 2 data acquisition subsystem, 21 sports mode data acquisition subsystem, 211 data acquisition unit, 212 acceleration sensor, 213 vibration sensor, 214 processor, 215 induction signal amplification unit, 216 induction signal detection unit , 217 data storage unit, 22 sports real-time data acquisition subsystem, 221 information acquisition unit, 222 microprocessor, 223 data processing unit, 224A/D conversion unit, 225 information storage unit, 3 data analysis subsystem, 31 motion mode data Analysis and recording subsystem, 311 information extraction unit, 312 data optimization processing unit, 313 controller, 314 calculation unit, 315 record storage unit, 32 motion pattern comparison analysis subsystem, 321 data extraction unit, 322 data screening unit, 323 server, 324 data comparison unit, 325 data analysis unit, 326 judgment reasoning unit, 327 data feedback unit, 4 wireless data transmission unit, 5 mobile terminal, 6 counter drive unit, 7 counter.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

Please refer to Fig. 1-6, the present invention provides a kind of technical solution: a kind of exercise frequency monitoring device, comprises central processing unit 1, and central processing unit 1 is electrically bidirectionally connected to data acquisition system 2, and data acquisition system 2 includes motion pattern data acquisition Subsystem 21 and sports real-time data acquisition subsystem 22, central processing unit 1 is electrically bidirectionally connected to data analysis system 3, data analysis system 3 includes motion pattern data analysis and recording subsystem 31 and motion pattern comparative analysis subsystem 32, central processing unit 1 The electrical output is connected to the wireless data transmission unit 4, the electrical output of the wireless data transmission unit 4 is connected to the mobile terminal 5, the electrical output of the central processing unit 1 is connected to the counter driving unit 6, and the electrical output of the counter driving unit 6 is connected to the counter 7;

When the exercise frequency monitoring device is working, the exercise pattern data collection subsystem 21 collects the data of the athlete's input exercise action, and the exercise pattern data analysis and recording subsystem 31 collects the exercise pattern data collection subsystem 21. Analyze the data of the movement, analyze what kind of movement the movement is, and record the data after the analysis of the movement, the real-time movement data collection subsystem 22 collects the data when the athlete is exercising in real time, and compares and analyzes the movement patterns Subsystem 32 discriminates the sports action of the athlete, and judges what kind of sports action the athlete is performing. Whenever the exercise pattern comparison and analysis subsystem 32 discriminates the sports action of the athlete, the counter 7 performs calculations in sequence, and finally passes The wireless data transmission unit 4 transmits to the athlete's mobile terminal 5, and the mobile terminal 5 displays the data.

Wherein, the sports mode data acquisition subsystem 21 includes a data acquisition unit 211, the data acquisition unit 211 is electrically connected to the acceleration sensor 212 and the vibration sensor 213 respectively, and the electrical output of the data acquisition unit 211 is connected to the processor 214, and the processor 214 is electrically output Connect the sensing signal amplifying unit 215, the sensing signal amplifying unit 215 electrically outputs and connects the sensing signal detecting unit 216, and the sensing signal detecting unit 216 electrically outputs and connects to the data storage unit 217;

When the central processing unit 1 first controls the data acquisition system 2 to collect the exercise pattern data of the athlete, through the cooperation of the acceleration sensor 212 and the vibration sensor 213, the action habit data of the athlete when exercising is sensed, and the data acquisition unit 211 senses the movement pattern data of the athlete. The collected data is collected, and the collected data is transmitted to the induction signal amplifying unit 215 through the processor 214, and the induction signal amplifying unit 215 amplifies the collected signal to make the induction signal clearer, and the amplified data passes the induction signal The detection unit 216 detects to make the collected data more accurate, and the detected data is stored by the data storage unit 217;

The sports real-time data acquisition subsystem 22 includes an information acquisition unit 221, the information acquisition unit 221 is electrically connected to the acceleration sensor 212 and the vibration sensor 213 respectively, and the electrical output of the information acquisition unit 221 is connected to the microprocessor 222, and the electrical output of the microprocessor 222 Connect to the data processing unit 223, the data processing unit 223 is electrically connected to the A/D conversion unit 224, and the A/D conversion unit 224 is electrically connected to the information storage unit 225;

When the motion real-time data collection subsystem 22 was collecting motion data in real time, the information collection unit 221 collected the data on the real-time acceleration sensor 212 and the vibration sensor 213 when the athlete was exercising respectively, and the collected data passed through the microprocessor 222 Pass it to the data processing unit 223 for data processing. The data processing unit 223 amplifies and detects the collected data. The processed data is converted into a data format by the A/D conversion unit 224, so that the data is converted into a format convenient for storage and transmission. format, the converted data is stored in information by the information storage unit 225;

The motion pattern data analysis and recording subsystem 31 includes an information extraction unit 311, the information extraction unit 311 is electrically output connected to a data optimization processing unit 312, the data optimization processing unit 312 is electrically output connected to a controller 313, and the electrical output of the controller 313 is connected to a calculation unit 314, the calculation unit 314 electrically outputs and connects to the record storage unit 315;

When the exercise pattern data analysis and recording subsystem 31 performs data analysis and recording, the information extraction unit 311 extracts the exerciser's exercise habit data collected by the exercise pattern data acquisition subsystem 21, and the data optimization processing unit 312 performs the extraction on the extracted data. Optimized processing, the data after optimized processing is then passed to the computing unit 314 for calculation through the controller 313, and the computing unit 314 analyzes the exercise habits of the athlete through the inherent calculation algorithm, and calculates and analyzes the movement habits of different sports actions of the athlete , store it through the record storage unit 315;

The motion pattern comparison and analysis subsystem 32 includes a data extraction unit 321, a data extraction unit 321, and the data extraction unit 321 is electrically output and connected to a data screening unit 322, and the data screening unit 322 is electrically output and connected to a server 323, and the server 323 is electrically output and connected to a data comparison Unit 324, the data comparison unit 324 electrically outputs the data analysis unit 325, the data analysis unit 325 electrically outputs and connects to the judgment reasoning unit 326, and the judgment reasoning unit 326 electrically outputs and connects to the data feedback unit 327;

When the data extraction unit 321 carries out real-time analysis and processing on the data collected by the sports real-time data collection subsystem 22, and first judges the sports action of the athlete, when judging, the data screening unit 322 collects the sports real-time data collection subsystem 22 first. Screen the incoming data, select several groups of athletes whose movement data are clearer, and compare the data after screening through the data comparison unit 324, and the data comparison unit 324 performs data comparison with the data after screening and the motion pattern data analysis and recording subsystem 31. Analyze and compare the recorded data, the data after the comparison is analyzed by the data analysis unit 325, the data after the analysis is judged by the judgment reasoning unit 326, and it is judged what motion the athlete is performing in real time. After the exercise behavior performed by the athlete is obtained, it is fed back to the central processing unit 1 through the data feedback unit 327 .

The present invention also provides a method for monitoring the frequency of exercise, which includes the following steps:

S1: Input of motion mode: wear the wristband or foot ring with acceleration sensor 212 and vibration sensor 213 on the hands and feet of the athlete, and start to input the motion mode, and the athlete performs multiple actions on the same motion mode. The second input, the exercise mode data acquisition subsystem 21 collects the data of the athlete's input exercise action, which is convenient for subsequent analysis and recording;

S2: Analysis and recording of exercise patterns: the exercise pattern data analysis and recording subsystem 31 analyzes the data of the athlete's input exercise action collected by the exercise pattern data acquisition subsystem 21, analyzes what kind of exercise action the exercise action is, and records the exercise action The data after the motion action analysis is recorded to provide comparison data for the follow-up motion pattern comparative analysis subsystem 32 to judge the real-time motion action of the athlete;

S3: Real-time monitoring of sports: the real-time sports data acquisition subsystem 22 collects the data of the athletes when they are exercising in real time, and provides data basis for subsequent sports action identification and counting;

S4: Judgment of exercise mode: when the athlete is exercising, the exercise pattern comparison and analysis subsystem 32 is used to judge the exercise action of the athlete to determine what kind of exercise the athlete is performing;

S5: Calculation of the number of times of exercise: after the exercise action is judged, start counting, and whenever the exercise pattern comparison analysis subsystem 32 discriminates the exerciser's exercise action, the counter 7 performs calculations in sequence;

S6: Display of data: the counted data is displayed on the mobile terminal 5 .

Although the embodiments of the present invention have been shown and described, those skilled in the art can understand that various changes, modifications and substitutions can be made to these embodiments without departing from the principle and spirit of the present invention. and modifications, the scope of the invention is defined by the appended claims and their equivalents.

Claims (6)

1. a kind of times of exercise monitoring device, including central processing unit (1), it is characterised in that: the central processing unit (1) is electrically It is bi-directionally connected data collection system (2), the data collection system (2) includes movement pattern data acquisition subsystem (21) and fortune Dynamic real-time data acquisition subsystem (22), the central processing unit (1) are electrically bi-directionally connected data analysis system (3), the number It include that movement pattern data analyzes recording subsystem (31) and motor pattern comparative analysis subsystem (32) according to analysis system (3), The central processing unit (1) electrically output connection wireless data transmission unit (4), the wireless data transmission unit (4) is electrically Output connection mobile terminal (5), the central processing unit (1) electrically output linkage counter driving unit (6), the counter Driving unit (6) electrically output linkage counter (7)；

When times of exercise monitoring device is worked, movement pattern data acquisition subsystem (21) is dynamic to sporter's input motion The data of work are acquired, and movement pattern data acquisition subsystem (21) is adopted in movement pattern data analysis recording subsystem (31) The data for sporter's input motion movement that collection comes are analyzed, and the athletic performance is analyzed in which kind of athletic performance is, and by the fortune Data after dynamic motion analysis are recorded, data when movement real-time data acquisition subsystem (22) moves sporter It is acquired in real time, motor pattern comparative analysis subsystem (32) differentiates the athletic performance of sporter, judges sporter Which kind of athletic performance the movement of progress is, whenever motor pattern comparative analysis subsystem (32) carries out the athletic performance of sporter After differentiation, counter (7) is calculated successively, passes to sporter's mobile terminal finally by wireless data transmission unit (4) (5), mobile terminal (5) shows data.

2. a kind of times of exercise monitoring device according to claim 1, it is characterised in that: the movement pattern data acquisition Subsystem (21) includes data acquisition unit (211), and electrically input connection acceleration passes the data acquisition unit (211) respectively Sensor (212) and vibrating sensor (213), the data acquisition unit (211) electrically output connection processor (214) are described Processor (214) electrically output connection inductive signal amplifying unit (215), the inductive signal amplifying unit (215) are electrically defeated Inductive signal detection unit (216) are connected out, electrically output connects data storage cell to the inductive signal detection unit (216) (217)；

When central processing unit (1), which first controls data collection system (2), carries out the movement pattern data acquisition of sporter, by adding Motor habit data when the cooperation of velocity sensor (212) and vibrating sensor (213) moves sporter are felt It answers, data acquisition unit (211) is acquired the data sensed, and the data after acquisition are passed to by processor (214) Inductive signal amplifying unit (215), the signal that inductive signal amplifying unit (215) carrys out acquisition amplify processing, so that sense Induction signal is more clear, and the data after enhanced processing are detected by inductive signal detection unit (216), so that acquisition came Data are more accurate, and the data after detection carry out data storage by data storage cell (217).

3. a kind of times of exercise monitoring device according to claim 1, it is characterised in that: the movement real-time data acquisition Subsystem (22) includes information acquisition unit (221), and electrically input connection acceleration passes the information acquisition unit (221) respectively Sensor (212) and vibrating sensor (213), the electrical output connecting microprocessor (222) of the information acquisition unit (221), institute Microprocessor (222) electrically output connection data processing unit (223) is stated, electrically output connects the data processing unit (223) It connects A/D converting unit (224), the A/D converting unit (224) electrically output link information storage unit (225)；

When movement real-time data acquisition subsystem (22), which carries out exercise data, to be acquired in real time, information acquisition unit (221) is respectively The data on real time acceleration sensor (212) and vibrating sensor (213) when moving to sporter are acquired, and are adopted Data after collection pass to data processing unit (223) by microprocessor (222) and carry out data processing, data processing unit (223) data come to acquisition amplify and detection processing, data that treated are counted by A/D converting unit (224) It is converted according to format, so that the format that data are converted into convenient for storing and transmitting, the data after conversion pass through information memory cell (225) information storage is carried out.

4. a kind of times of exercise monitoring device according to claim 1, it is characterised in that: the movement pattern data analysis Recording subsystem (31) includes information extraction unit (311), and electrically output connection is data-optimized for the information extraction unit (311) Processing unit (312), the data-optimized processing unit (312) electrically output connection controller (313), the controller (313) electrically output connection computing unit (314), the computing unit (314) electrically export linkage record storage unit (315)；

When movement pattern data analysis recording subsystem (31) carries out data analysis record, information extraction unit (311) is to fortune Sporter's athletic performance habit data that dynamic model formula data acquisition subsystem (21) acquisition comes extract, and data-optimized processing is single First (312) optimize processing to the data come are extracted, and the data after optimization processing pass through controller (313) again and pass to calculating Unit (314) is calculated, and computing unit (314) is analyzed by exercise habit of the intrinsic computational algorithm to sporter, After calculating the motor habit for analyzing the movement of sporter's different motion, it is stored by record storage unit (315).

5. a kind of times of exercise monitoring device according to claim 1, it is characterised in that: the motor pattern comparative analysis Subsystem (32) includes data extracting unit (321), the data extracting unit (321), data extracting unit (321) electricity Property output connection data screening unit (322), the data screening unit (322) electrically output connection server (323) is described Server (323) electrically output connection data comparison unit (324), the electrical output data point of the data comparison unit (324) It analyses unit (325), the data analysis unit (325) electrically output connection judgment reasoning element (326), the judging and deducing list First (326) electrically output connection data feedback unit (327)；

When the data that data extracting unit (321) carrys out movement real-time data acquisition subsystem (22) acquisition carry out at real-time analysis Reason, first judges the athletic performance of sporter, and when being judged, data screening unit (322) is first to movement real time data The data that acquisition subsystem (22) acquisition comes are screened, and select several groups of sporter's action datas more visible, the number after screening Several comparisons are carried out according to by data comparison unit (324), data and motor pattern number after the screening of data comparison unit (324) river Data after carrying out data analysis record according to analysis recording subsystem (31) compare, and the data after comparison are analyzed by data Unit (325) carries out data analysis, and the data after analysis judge it by judging and deducing unit (326), judge Sporter's real-time perfoming is any athletic performance, after judging the motor behavior that sporter carries out, passes through data feedback list First (327) feed back to central processing unit (1).

6. a kind of times of exercise monitoring method, it is characterised in that: the times of exercise monitoring method includes the following steps:

S1: the bracelet or foot ring of acceleration transducer (212) and vibrating sensor (213) will the input of motor pattern: be had It is worn on hand and on foot of sporter, starts to carry out action mode input, sporter acts identical motor pattern and carries out Repeatedly input, the data that movement pattern data acquisition subsystem (21) acts sporter's input motion are acquired, after being convenient for It is continuous to be analyzed and recorded；

S2: the analysis of motor pattern and record: movement pattern data is analyzed recording subsystem (31) and is acquired to movement pattern data The data for sporter's input motion movement that subsystem (21) acquisition comes are analyzed, and analyzing the athletic performance is which kind of movement is dynamic Make, and the data after athletic performance analysis are recorded, is subsequent motion mode comparative analysis subsystem (32) to movement The movement of person's real time kinematics carries out judgement and provides correlation data；

S3: movement real-time monitoring: data when movement real-time data acquisition subsystem (22) moves sporter carry out real When acquire, provide data foundation for subsequent athletic performance differentiation and counting；

S4: when sporter moves, motor pattern comparative analysis subsystem (32) judgement of motor pattern: is first passed through to fortune The athletic performance of dynamic person differentiates, judges the movement of sporter's progress for which kind of athletic performance；

S5: the calculating of times of exercise: after athletic performance judgement, start to be counted, whenever motor pattern comparative analysis subsystem After system (32) differentiates the athletic performance of sporter, counter (7) is calculated successively；

S6: the display of data: the data after counting are shown by mobile terminal (5) logarithm.