CN105997014A - Physical activity monitoring method - Google Patents
Physical activity monitoring method Download PDFInfo
- Publication number
- CN105997014A CN105997014A CN201610242095.7A CN201610242095A CN105997014A CN 105997014 A CN105997014 A CN 105997014A CN 201610242095 A CN201610242095 A CN 201610242095A CN 105997014 A CN105997014 A CN 105997014A
- Authority
- CN
- China
- Prior art keywords
- sensor
- virtual
- monitoring method
- data
- athlete
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6813—Specially adapted to be attached to a specific body part
- A61B5/6825—Hand
- A61B5/6826—Finger
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Physics & Mathematics (AREA)
- Veterinary Medicine (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Physiology (AREA)
- Cardiology (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Dentistry (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention discloses a physical activity monitoring method, comprising the following steps: completing input of basic physical characteristics of an athlete and wearing of a human signal acquisition device, and starting the human signal acquisition device to acquire human signals; the human signal acquisition device sending the acquired data to a monitoring terminal through an internal Beidou module; the monitoring terminal completing establishment of a simulation model according to the acquired data and the input basic physical characteristics of the athlete, and completing location of the position where the athlete is in, and evaluation of a motion state and a physical state; inserting a virtual actuator and a virtual sensor in the simulation model; and starting a simulation analysis module to perform simulation analysis, to complete drawing of a motion curve. The method completes monitoring of the body of the athlete and motion conditions through different sensors, and monitored data is simulated through the simulation model, and data is analyzed, evaluated, and stored. The method has good monitoring effect, and a monitoring result is more intuitive and complete.
Description
Technical field
The present invention relates to sports technical field, be specifically related to a kind of sports monitoring method.
Background technology
Sports are important for the life style kept fit, and are the sources of the amusement of a lot of people.
Some individuality likes joined body sports, such as football or basketball, and other individualities prefer participation
Body sports, such as, run or ski.No matter described activity is group activity or individual activity, common
Be people's athletics races of all participating in such as football match or race, and such as carry out football instruction
The more informal training courses such as white silk or interval running spurt.
Technology has promoted the development of body-building monitoring device, and described equipment can use sensor record relevant
Individual performance information in sports, and the feedback about individuality performance is provided in some cases.
Some portable fitness monitoring devices use the sensor of health being connected to individuality, and other portable fitness
Monitoring device relies on the sensor being connected to sporting equipment.This sensor can be measured and live with individual health
The dynamic various physics being associated and/or physiological parameter.
Many existing body-building monitoring devices are not portable, and be therefore not suitable at many real worlds is competing
Skill or training race provide monitoring.Even portable, but due to the most overweight, or lack foot
Enough batteries and/or disposal ability, to such an extent as to can not make for a long time under strict competition or training condition
With.Meanwhile, existing equipment is supplied to the performance feedback of individuality the most only for the displaying of data, monitoring result
Non-intuitive it could be also difficult to compare with the performance in past, formulate the strategy improving future performance；Number
According to transmission mostly need to rely on the laying of circuit, once dtr signal, the feelings that monitoring is interrupted just easily occur
The generation of condition.
Summary of the invention
For solving the problems referred to above, the invention provides a kind of sports monitoring method, by different sensings
Device completes the monitoring of athletic health and motion conditions, and the data of monitoring is carried out by phantom
Analogue simulation, data analysis, assessing and store, monitoring effect is good, and monitoring result is more directly perceived comprehensively, with
Time completed the transmission of data by Big Dipper module, it is not necessary to carry out the laying of circuit, easy to use while, also
Avoid the generation of situation that is bad due to signal and that cause monitoring to be interrupted.
For achieving the above object, the technical scheme that the present invention takes is:
A kind of sports monitoring method, comprises the steps:
Wearing of S1, the input completing athlete's basic physical trait data and human body signal harvester,
And start human body signal harvester and carry out the collection of human body signal；
S2, human body signal harvester by built-in Big Dipper module by the data that collected with short message
Form is sent to monitor terminal；
S3, monitor terminal receive the data that collected, and according to the data collected and inputted
Athlete's basic physical trait data complete the foundation of phantom, and complete determining of athlete position
Position, kinestate and the assessment of condition, wherein, need to set up two phantoms；
S4, wherein a phantom insert the virtual actuator for driving Parameters variation, and by it
With the element opening relationships in simulation analysis, such that it is able to driving simulation analyzes method or simulation analysis algorithm pin
Different parameters is carried out calculating solve；
S5, insert in the phantom of step S4 gained some for directly obtaining corresponding result or information
The virtual-sensor of target；
S6, startup simulation analysis module, described virtual actuator performs simulating analysis or imitative by circulation
Result is fed back to simulation analysis module by true parser, and described simulation analysis module automatically extracts data to void
Intending sensor, described virtual-sensor shows the result of simulation analysis automatically；Simultaneously start graphics module for
Another phantom carries out the drafting of curve movement.
Preferably, described human body signal harvester includes the finger cot type photoelectric sensor of middle finger present position,
It is fixed on the 3-axis acceleration sensor at trunk position, magnetometer and gyroscope, is worn in wrist
Temperature sensor and pulse transducer, and finger cot type photoelectric sensor, 3-axis acceleration sensor, magnetometer,
Big Dipper module it is mounted in gyroscope, temperature sensor, pulse transducer.
Preferably, described finger cot type photoelectric sensor, temperature sensor and pulse transducer are installed in glove
In, described finger cot type photoelectric sensor is arranged in the middle fingerstall of glove, and described temperature sensor and pulse pass
Sensor is arranged on inside the wrist strap of glove, is provided with and finger cot type photoelectric sensor, temperature sensor in glove
The lithium battery being connected with pulse transducer.
Preferably, described 3-axis acceleration sensor, magnetometer and gyroscope are arranged in belt, in belt
The lithium battery being connected with acceleration transducer, magnetometer and gyroscope is installed.
Preferably, described virtual actuator includes dummy unit actuator, virtual characteristics actuator and virtual load
Lotus actuator.
Preferably, described virtual-sensor includes general virtual sensor and particular virtual sensor.
Preferably, described phantom is set up by ADAMS.
Preferably, it is provided with an emulation mode and simulation algorithm data base in described simulation analysis module, is used for storing up
Deposit various emulation mode and simulation algorithm.
Preferably, described graphics module for according to the data collected, generates in time, spatial variations
Tau-effect curve i.e. tense curve and steric effect curve.
The method have the advantages that
The monitoring of athletic health and motion conditions is completed by different sensors, and by the number of monitoring
Carrying out analogue simulation, data analysis according to by phantom, assess and store, monitoring effect is good, monitoring knot
Fruit is more directly perceived completes the transmission of data, it is not necessary to carry out the laying of circuit comprehensively simultaneously by Big Dipper module,
While easy to use, it also avoid the generation of situation that is bad due to signal and that cause monitoring to be interrupted.
Detailed description of the invention
In order to make objects and advantages of the present invention clearer, below in conjunction with embodiment, the present invention is carried out
Further describe.Should be appreciated that specific embodiment described herein only in order to explain the present invention,
It is not intended to limit the present invention.
Embodiments provide a kind of sports monitoring method, comprise the steps:
Wearing of S1, the input completing athlete's basic physical trait data and human body signal harvester,
And start human body signal harvester and carry out the collection of human body signal；
S2, human body signal harvester by built-in Big Dipper module by the data that collected with short message
Form is sent to monitor terminal；
S3, monitor terminal receive the data that collected, and according to the data collected and inputted
Athlete's basic physical trait data complete the foundation of phantom, and complete determining of athlete position
Position, kinestate and the assessment of condition, wherein, need to set up two phantoms；
S4, wherein a phantom insert the virtual actuator for driving Parameters variation, and by it
With the element opening relationships in simulation analysis, such that it is able to driving simulation analyzes method or simulation analysis algorithm pin
Different parameters is carried out calculating solve；
S5, insert in the phantom of step S4 gained some for directly obtaining corresponding result or information
The virtual-sensor of target；
S6, startup simulation analysis module, described virtual actuator performs simulating analysis or imitative by circulation
Result is fed back to simulation analysis module by true parser, and described simulation analysis module automatically extracts data to void
Intending sensor, described virtual-sensor shows the result of simulation analysis automatically；Simultaneously start graphics module for
Another phantom carries out the drafting of curve movement.
Described human body signal harvester includes the finger cot type photoelectric sensor of middle finger present position, is fixed on people
The 3-axis acceleration sensor of body metastomium, magnetometer and gyroscope, the temperature sensing being worn in wrist
Device and pulse transducer, and finger cot type photoelectric sensor, 3-axis acceleration sensor, magnetometer, gyroscope,
Big Dipper module it is mounted in temperature sensor, pulse transducer.
Described finger cot type photoelectric sensor, temperature sensor and pulse transducer are installed in glove, described
Finger cot type photoelectric sensor is arranged in the middle fingerstall of glove, and described temperature sensor and pulse transducer are installed
Inside the wrist strap of glove, it is provided with in glove and passes with finger cot type photoelectric sensor, temperature sensor and pulse
The lithium battery that sensor is connected.
Described 3-axis acceleration sensor, magnetometer and gyroscope are arranged in belt, be provided with in belt with
The lithium battery that acceleration transducer, magnetometer are connected with gyroscope.
Described virtual actuator includes dummy unit actuator, virtual characteristics actuator and Virtual Load actuator.
Described virtual-sensor includes general virtual sensor and particular virtual sensor.
Described phantom is set up by ADAMS.
It is provided with an emulation mode and simulation algorithm data base in described simulation analysis module, is used for storing various imitating
True method and simulation algorithm.
Described graphics module for according to the data collected, generates in time, the space-time effect of spatial variations
Answer curve i.e. tense curve and steric effect curve.
The above is only the preferred embodiment of the present invention, it is noted that common for the art
For technical staff, under the premise without departing from the principles of the invention, it is also possible to make some improvements and modifications,
These improvements and modifications also should be regarded as protection scope of the present invention.
Claims (9)
1. a sports monitoring method, it is characterised in that comprise the steps:
Wearing of S1, the input completing athlete's basic physical trait data and human body signal harvester,
And start human body signal harvester and carry out the collection of human body signal；
S2, human body signal harvester by built-in Big Dipper module by the data that collected with short message
Form is sent to monitor terminal；
S3, monitor terminal receive the data that collected, and according to the data collected and inputted
Athlete's basic physical trait data complete the foundation of phantom, and complete determining of athlete position
Position, kinestate and the assessment of condition, wherein, need to set up two phantoms；
S4, wherein a phantom insert the virtual actuator for driving Parameters variation, and by it
With the element opening relationships in simulation analysis, such that it is able to driving simulation analyzes method or simulation analysis algorithm pin
Different parameters is carried out calculating solve；
S5, insert in the phantom of step S4 gained some for directly obtaining corresponding result or information
The virtual-sensor of target；
S6, startup simulation analysis module, described virtual actuator performs simulating analysis or imitative by circulation
Result is fed back to simulation analysis module by true parser, and described simulation analysis module automatically extracts data to void
Intending sensor, described virtual-sensor shows the result of simulation analysis automatically；Simultaneously start graphics module for
Another phantom carries out the drafting of curve movement.
A kind of sports monitoring method the most according to claim 1, it is characterised in that described human body
Signal pickup assembly includes the finger cot type photoelectric sensor of middle finger present position, is fixed on trunk position
3-axis acceleration sensor, magnetometer and gyroscope, the temperature sensor being worn in wrist and pulse sensing
Device, and finger cot type photoelectric sensor, 3-axis acceleration sensor, magnetometer, gyroscope, temperature sensor,
Big Dipper module it is mounted in pulse transducer.
A kind of sports monitoring method the most according to claim 2, it is characterised in that described fingerstall
Formula photoelectric sensor, temperature sensor and pulse transducer are installed in glove, described finger cot type photoelectric transfer
Sensor is arranged in the middle fingerstall of glove, and described temperature sensor and pulse transducer are arranged on the wrist strap of glove
Inner side, is provided with the lithium being connected with finger cot type photoelectric sensor, temperature sensor and pulse transducer in glove
Battery.
A kind of sports monitoring method the most according to claim 2, it is characterised in that described three axles
Acceleration transducer, magnetometer and gyroscope are arranged in belt, be provided with in belt with acceleration transducer,
The lithium battery that magnetometer is connected with gyroscope.
A kind of sports monitoring method the most according to claim 1, it is characterised in that described virtual
Actuator includes dummy unit actuator, virtual characteristics actuator and Virtual Load actuator.
A kind of sports monitoring method the most according to claim 1, it is characterised in that described virtual
Sensor includes general virtual sensor and particular virtual sensor.
A kind of sports monitoring method the most according to claim 1, it is characterised in that described emulation
Model is set up by ADAMS.
A kind of sports monitoring method the most according to claim 1, it is characterised in that described emulation
It is provided with an emulation mode and simulation algorithm data base in analyzing module, is used for storing various emulation mode and emulation
Algorithm.
A kind of sports monitoring method the most according to claim 1, it is characterised in that described drawing
Module for according to the data collected, generates in time, the tau-effect curve i.e. tense of spatial variations
Curve and steric effect curve.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610242095.7A CN105997014A (en) | 2016-04-17 | 2016-04-17 | Physical activity monitoring method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610242095.7A CN105997014A (en) | 2016-04-17 | 2016-04-17 | Physical activity monitoring method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105997014A true CN105997014A (en) | 2016-10-12 |
Family
ID=57081430
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610242095.7A Pending CN105997014A (en) | 2016-04-17 | 2016-04-17 | Physical activity monitoring method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105997014A (en) |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105380613A (en) * | 2015-11-13 | 2016-03-09 | 西京学院 | Sports activity monitoring system |
-
2016
- 2016-04-17 CN CN201610242095.7A patent/CN105997014A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105380613A (en) * | 2015-11-13 | 2016-03-09 | 西京学院 | Sports activity monitoring system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11862334B2 (en) | Flight time | |
| US11574708B2 (en) | Activity monitoring device with assessment of exercise intensity | |
| Staiano et al. | The promise of exergames as tools to measure physical health | |
| CN105593862B (en) | The activity recognition reminded with activity | |
| Khan et al. | Activity recognition for quality assessment of batting shots in cricket using a hierarchical representation | |
| EP3302729A1 (en) | Activity monitoring device with assessment of exercise intensity | |
| Boyd et al. | Practical application of accelerometers in Australian football | |
| CN105997014A (en) | Physical activity monitoring method | |
| Reche-Soto et al. | SPATIAL PERCEPTION OF SEMI-PROFESSIONAL SOCCER PLAYERS IN SMALL-SIDED GAMES: A CASE STUDY. | |
| Coker | Relationship between stress-recovery state and running performance in Men's collegiate soccer | |
| Gamble | Measuring the external load of female and male varsity Ice Hockey Players during games with a Local Positioning System | |
| Sharma et al. | Scope of Embedding Supervised learning Techniques on Sensors data in Sports Equipments | |
| Bakr | Digital Jewellery and Machine Learning Methods for Analysing Player Performance in sports | |
| Vancurik | Choking under pressure detection model based on expert system foundation using tennis performance variables for individual performance enhancement | |
| SATTABURUTH et al. | Volleyball Practice Skills with Intelligent Sensor Technology Model to Develop Athlete’s Competency Toward Excellence | |
| Toon | Incorporating End-User Feedback in the Development and Validation of a Smart Textile for assessing Sports Training and Performance | |
| CN117617971A (en) | Physical and mental state evaluation system and physical and mental state evaluation method | |
| Sutherland | Searching for the holy grail; Wallabies athlete load monitoring | |
| Minutolo | Effects of geocaching on heart rates of elementary students | |
| Bell et al. | The Transfe r of Mental Ski I ls: Examining Pre-Putt Routines Ac ross Competition and Practice Settings |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20161012 |
|
| RJ01 | Rejection of invention patent application after publication |