CN107169269A - Fitness campaign capability evaluation system and method - Google Patents
Fitness campaign capability evaluation system and method Download PDFInfo
- Publication number
- CN107169269A CN107169269A CN201710269796.4A CN201710269796A CN107169269A CN 107169269 A CN107169269 A CN 107169269A CN 201710269796 A CN201710269796 A CN 201710269796A CN 107169269 A CN107169269 A CN 107169269A
- Authority
- CN
- China
- Prior art keywords
- human body
- function
- user
- model
- curve
- 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
Abstract
The present invention discloses a kind of fitness campaign capability evaluation system and method, including：The movable information at least one times of at least one user is obtained, wherein, each movable information at least includes action message and sign information；The movable information at least one times of each user is sent to behind high in the clouds, matched with the default function of human body reaction model in high in the clouds, obtain the individual functional reaction curve of the user, wherein, the function of human body hair answers model to include the human body standard curve that corresponding function of human body is reacted under different exercise intensities, and the individual functional reaction curve includes the user in the exercise intensity data corresponding to its function of human body critical condition；The exercise intensity data corresponding to the individual functional reaction curve and/or function of human body critical condition are returned to user.The invention can ensure that the physical training campaign of user is carried out in function of human body reaction safe range, effectively prevent because overexercise causes unexpected generation.
Description
Technical field
The present invention relates to medical treatment ＆ health field, more particularly to a kind of fitness campaign capability evaluation system and method.
Background technology
As keeping fit, a kind of prophylactic important channel, sport and body-building increasingly favored by modern.It is many
Well knownly, appropriate physical training can strengthen function of human body reaction level, physical fitness, benifit body and mind.If however, motion
It is excessive, then body can not only be caused damage, the fortuitous event that happens suddenly can also be caused when serious.
The content of the invention
Technical problem solved by the invention is to provide a kind of fitness campaign capability evaluation system, and the system can be protected effectively
Demonstrate,prove the motion such as physical training of user to carry out in the scope of the function of human body reaction safety of user, effectively prevent because of overexercise
Cause unexpected generation.
The technical problem that the present invention is further solved is to provide a kind of fitness campaign capability assessment method, and this method can
The motion such as physical training of user is effectively ensured to carry out in the scope of the function of human body reaction safety of user, effectively prevents because of mistake
Degree motion causes unexpected generation.
In order to solve the above-mentioned technical problem, the invention discloses following scheme：
A kind of fitness campaign capability evaluation system, including：
Movable information obtaining unit, the movable information at least one times for obtaining at least one user, wherein, motion every time
Information at least includes action message and sign information；
Individual functional reaction curve obtaining unit, for the movable information at least one times of each user to be sent into high in the clouds
Afterwards, matched with the default function of human body reaction model in high in the clouds, obtain the individual functional reaction curve of the user, wherein, the people
Body function hair answers model to include the standard curve of human body corresponding function of human body reaction under different exercise intensities, and this
Body functional reaction curve includes the user in the exercise intensity data corresponding to its function of human body critical condition；
Assessment result output unit, for returning to the individual functional reaction curve and/or the critical shape of function of human body to user
Exercise intensity data corresponding to state.
Preferably, the individual functional reaction curve obtaining unit includes：
Action message matching unit, for obtaining, the action message is corresponding in the function of human body reaction model to sit
Mark；
Function of human body reaction model fitting unit, for obtaining matched curve；
Individual functional reaction data fitting unit, for according to action data in fit correlation and function of human body reaction model
Corresponding function of human body response data, obtains the function of human body response curve of the user.
Preferably, in addition to：
Motion model obtaining unit, for movable information to set up the fortune of the user at least one times according to each user
Dynamic assessment models；
Motion model matching unit, it is pre- with high in the clouds for the locomotion evaluation model of the user to be sent to behind high in the clouds
If function of human body reaction model matching, obtain the individual functional reaction curve of the user.
Preferably, the function of human body reaction model is obtained by the combination of big data or Medicine standard data or both
.
Preferably, in addition to：
Function of human body reaction model cloud updating block, for according to the movable information, to the default human body in the high in the clouds
Functional reaction model enters Mobile state adjustment.
Correspondingly, the invention also discloses a kind of fitness campaign capability assessment method, including：
The movable information at least one times of at least one user is obtained, wherein, each movable information at least includes action message
And sign information；
The movable information at least one times of each user is sent to behind high in the clouds, with the default function of human body reaction model in high in the clouds
Matching, obtains the individual functional reaction curve of the user, wherein, the function of human body hair answers model to include human body different
The standard curve of corresponding function of human body reaction under exercise intensity, and the individual functional reaction curve includes the user in its people
Exercise intensity data corresponding to body function critical condition；
The exercise intensity number corresponding to the individual functional reaction curve and/or function of human body critical condition is returned to user
According to.
Preferably, it is described to be matched with the default function of human body reaction model in high in the clouds, obtain the individual functional reaction of the user
Curve includes：
Obtain the action message corresponding coordinate in the function of human body reaction model；
Obtain matched curve；
The corresponding function of human body response data of action data, obtains the user in fit correlation and function of human body reaction model
Function of human body response curve.
Preferably, also include after the movable information at least one times for obtaining at least one user：
Movable information sets up the locomotion evaluation model of the user at least one times according to each user；
The locomotion evaluation model of the user is sent to behind high in the clouds, with the default function of human body reaction model in high in the clouds
Match somebody with somebody, obtain the individual functional reaction curve of the user.
Preferably, the function of human body reaction model is obtained by the combination of big data or Medicine standard data or both
.
Preferably, in addition to：
According to the movable information, Mobile state adjustment is entered to the default function of human body reaction model in the high in the clouds.
The beneficial effects of the invention are as follows：
Embodiments of the invention obtain the individual of user by the movable information according to user and function of human body reaction model
Functional reaction curve, so that scope of the motion such as physical training of user in the function of human body reaction safety of user has been effectively ensured
It is interior to carry out, it effectively prevent because overexercise causes unexpected generation.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is the composition schematic diagram of fitness campaign capability evaluation system one embodiment of the present invention.
Fig. 2 is the schematic flow sheet of fitness campaign capability assessment method one embodiment of the present invention.
Fig. 3 is the stream of the individual functional reaction curve of acquisition in fitness campaign capability assessment method one embodiment of the invention
Journey schematic diagram.
Embodiment
The one embodiment for the fitness campaign capability evaluation system that the present invention is provided is described in detail below with reference to Fig. 1；Such as Fig. 1
Shown, the present embodiment mainly includes：
Movable information obtaining unit 1, the movable information at least one times for obtaining at least one user, wherein, transport every time
Dynamic information at least includes action message and sign information；
Individual functional reaction curve obtaining unit 2, for the movable information at least one times of each user to be sent into high in the clouds
Afterwards, matched with the default function of human body reaction model in high in the clouds, obtain the individual functional reaction curve of the user, wherein, the people
Body function hair answers model to include the standard curve of human body corresponding function of human body reaction under different exercise intensities, and this
Body functional reaction curve includes the user in the exercise intensity data corresponding to its function of human body critical condition；
Assessment result output unit 3, for returning to the individual functional reaction curve and/or the critical shape of function of human body to user
Exercise intensity data corresponding to state.
When implementing, the individual functional reaction curve obtaining unit 2 may particularly include：
Action message matching unit 21, for obtain the action message in the function of human body reaction model it is corresponding
Coordinate；
Function of human body reaction model fitting unit 22, for obtaining matched curve；
Individual functional reaction data fitting unit 23, for acting number according in fit correlation and function of human body reaction model
According to corresponding function of human body response data, the function of human body response curve of the user is obtained.
In addition, the present embodiment may also include：
Motion model obtaining unit 4, for movable information to set up the user's at least one times according to each user
Locomotion evaluation model；
Motion model matching unit 5, it is pre- with high in the clouds for the locomotion evaluation model of the user to be sent to behind high in the clouds
If function of human body reaction model matching, obtain the individual functional reaction curve of the user.
When implementing, the function of human body reaction model can pass through big data or Medicine standard data or both
With reference to acquisition.
Further, the present embodiment may also include：
Function of human body reaction model cloud updating block 6, for according to the movable information, to the default human body in the high in the clouds
Functional reaction model enters Mobile state adjustment.
The one embodiment for the fitness campaign capability assessment method that the present invention is provided is described in detail below with reference to Fig. 2 and Fig. 3；
As shown in Fig. 2 the present embodiment realizes that a fitness campaign capability evaluation flow is mainly included the following steps that：
In step sl, the movable information at least one times of at least one user is obtained, wherein, each movable information is at least wrapped
Include action message and sign information；
In step s 2, the movable information at least one times of each user is sent to behind high in the clouds, with the default human body in high in the clouds
Functional reaction Model Matching, obtains the individual functional reaction curve of the user, wherein, the function of human body hair answers model to include
The standard curve of human body corresponding function of human body reaction under different exercise intensities, and the individual functional reaction curve includes
The user is in the exercise intensity data corresponding to its function of human body critical condition；
In step s3, returned to user corresponding to the individual functional reaction curve and/or function of human body critical condition
Exercise intensity data.
With reference to Fig. 3, in the present embodiment, match, obtain with the default function of human body reaction model in high in the clouds described in step S2
The individual functional reaction curve of the user may particularly include：
In the step s 21, action message corresponding coordinate in the function of human body reaction model is obtained；
In step S22, matched curve is obtained；
It is anti-according to the corresponding function of human body of action data in fit correlation and function of human body reaction model in step S23
Data are answered, the function of human body response curve of the user is obtained.
In addition, in the present embodiment, may be used also after the movable information at least one times that at least one user is obtained in step sl
Including：
Movable information sets up the locomotion evaluation model of the user at least one times according to each user；
The locomotion evaluation model of the user is sent to behind high in the clouds, with the default function of human body reaction model in high in the clouds
Match somebody with somebody, obtain the individual functional reaction curve of the user.
When implementing, the knot that the function of human body reaction model passes through big data or Medicine standard data or both
Close and obtain.
Further, the present embodiment may also include：
In step s 4, according to the movable information, Mobile state is entered to the default function of human body reaction model in the high in the clouds
Adjustment.
Each technical characteristic of each embodiment described above can be combined arbitrarily, to make description succinct, not to above-mentioned
The all possible combination of each technical characteristic in embodiment is all described, as long as however, the combination of these technical characteristics not
There is contradiction, be all considered to be the scope of this specification record.
One of ordinary skill in the art will appreciate that realize all or part of flow in above-described embodiment method, being can be with
The hardware of correlation is instructed to complete by computer program, described program can be stored in a computer read/write memory medium
In, the program is upon execution, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, described storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access
Memory, RAM) etc..
Above content is to combine specific preferred embodiment further description made for the present invention, it is impossible to assert
The specific implementation of the present invention is confined to these explanations.For general technical staff of the technical field of the invention,
On the premise of not departing from present inventive concept, some simple deduction or replace can also be made, should all be considered as belonging to the present invention's
Protection domain.
Claims (10)
1. a kind of fitness campaign capability evaluation system, it is characterised in that including：
Movable information obtaining unit, the movable information at least one times for obtaining at least one user, wherein, each movable information
At least include action message and sign information；
Individual functional reaction curve obtaining unit, for the movable information at least one times of each user to be sent to behind high in the clouds, with
The default function of human body reaction model matching in high in the clouds, obtains the individual functional reaction curve of the user, wherein, the function of human body
Hair answers model to include the standard curve of human body corresponding function of human body reaction under different exercise intensities, and the individual function
Response curve includes the user in the exercise intensity data corresponding to its function of human body critical condition；
Assessment result output unit, for returning to the individual functional reaction curve and/or function of human body critical condition institute to user
Corresponding exercise intensity data.
2. the system as claimed in claim 1, it is characterised in that the individual functional reaction curve obtaining unit includes：
Action message matching unit, for obtaining the action message corresponding coordinate in the function of human body reaction model；
Function of human body reaction model fitting unit, for obtaining matched curve；
Individual functional reaction data fitting unit, according to the corresponding people of action data in fit correlation and function of human body reaction model
Body functional reaction data, obtain the function of human body response curve of the user.
3. system as claimed in claim 1 or 2, it is characterised in that also include：
Motion model obtaining unit, for movable information to be set up the motion of the user and commented at least one times according to each user
Estimate model；
Motion model matching unit, it is default with high in the clouds for the locomotion evaluation model of the user to be sent to behind high in the clouds
Function of human body reaction model is matched, and obtains the individual functional reaction curve of the user.
4. system as claimed in claim 1 or 2, it is characterised in that the function of human body reaction model by big data or
The combination of Medicine standard data or both is obtained.
5. system as claimed in claim 4, it is characterised in that also include：
Function of human body reaction model cloud updating block, for according to the movable information, to the default function of human body in the high in the clouds
Reaction model enters Mobile state adjustment.
6. a kind of fitness campaign capability assessment method, it is characterised in that including：
The movable information at least one times of at least one user is obtained, wherein, each movable information at least includes action message and body
Reference ceases；
The movable information at least one times of each user is sent to behind high in the clouds, with the default function of human body reaction model in high in the clouds
Match somebody with somebody, obtain the individual functional reaction curve of the user, wherein, the function of human body hair answers model to include human body in different fortune
The standard curve of corresponding function of human body reaction under fatigue resistance, and the individual functional reaction curve includes the user in its human body
Exercise intensity data corresponding to function critical condition；
The exercise intensity data corresponding to the individual functional reaction curve and/or function of human body critical condition are returned to user.
7. method as claimed in claim 6, it is characterised in that described to be matched with the default function of human body reaction model in high in the clouds,
Obtaining the individual functional reaction curve of the user includes：
Obtain the action message corresponding coordinate in the function of human body reaction model；
Obtain matched curve；
The corresponding function of human body response data of action data, obtains the people of the user in fit correlation and function of human body reaction model
Body functional reaction curve.
8. method as claimed in claims 6 or 7, it is characterised in that obtain the movable information at least one times of at least one user
Also include afterwards：
Movable information sets up the locomotion evaluation model of the user at least one times according to each user；
The locomotion evaluation model of the user is sent to behind high in the clouds, matched with the default function of human body reaction model in high in the clouds,
Obtain the individual functional reaction curve of the user.
9. method as claimed in claims 6 or 7, it is characterised in that the function of human body reaction model by big data or
The combination of Medicine standard data or both is obtained.
10. method as claimed in claim 9, it is characterised in that after the individual functional reaction curve for obtaining the user, also wrap
Include：
According to the movable information, Mobile state adjustment is entered to the default function of human body reaction model in the high in the clouds.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710269796.4A CN107169269A (en) | 2017-04-24 | 2017-04-24 | Fitness campaign capability evaluation system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710269796.4A CN107169269A (en) | 2017-04-24 | 2017-04-24 | Fitness campaign capability evaluation system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107169269A true CN107169269A (en) | 2017-09-15 |
Family
ID=59812919
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710269796.4A Pending CN107169269A (en) | 2017-04-24 | 2017-04-24 | Fitness campaign capability evaluation system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107169269A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113506627A (en) * | 2020-11-25 | 2021-10-15 | 中国人民解放军陆军特种作战学院 | Night human body physiological function assessment method and system |
| CN114255873A (en) * | 2021-12-22 | 2022-03-29 | 南通大学 | Method and system for assessing motor ability of chronic kidney disease patient |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8139822B2 (en) * | 2009-08-28 | 2012-03-20 | Allen Joseph Selner | Designation of a characteristic of a physical capability by motion analysis, systems and methods |
| CN105808959A (en) * | 2016-03-16 | 2016-07-27 | 北京永数网络科技有限公司 | Motion detection system, motion detection terminal and cloud platform |
| CN106166063A (en) * | 2015-05-21 | 2016-11-30 | 博晶医电股份有限公司 | Muscle power monitoring method and device |
| CN106339576A (en) * | 2016-07-20 | 2017-01-18 | 美的集团股份有限公司 | Health management method and system |
| CN106446569A (en) * | 2016-09-29 | 2017-02-22 | 宇龙计算机通信科技(深圳)有限公司 | Movement guidance method and terminal |
-
2017
- 2017-04-24 CN CN201710269796.4A patent/CN107169269A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8139822B2 (en) * | 2009-08-28 | 2012-03-20 | Allen Joseph Selner | Designation of a characteristic of a physical capability by motion analysis, systems and methods |
| CN106166063A (en) * | 2015-05-21 | 2016-11-30 | 博晶医电股份有限公司 | Muscle power monitoring method and device |
| CN105808959A (en) * | 2016-03-16 | 2016-07-27 | 北京永数网络科技有限公司 | Motion detection system, motion detection terminal and cloud platform |
| CN106339576A (en) * | 2016-07-20 | 2017-01-18 | 美的集团股份有限公司 | Health management method and system |
| CN106446569A (en) * | 2016-09-29 | 2017-02-22 | 宇龙计算机通信科技(深圳)有限公司 | Movement guidance method and terminal |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113506627A (en) * | 2020-11-25 | 2021-10-15 | 中国人民解放军陆军特种作战学院 | Night human body physiological function assessment method and system |
| CN114255873A (en) * | 2021-12-22 | 2022-03-29 | 南通大学 | Method and system for assessing motor ability of chronic kidney disease patient |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Whitson et al. | The blind leading: Power reduces awareness of constraints | |
| Rudski et al. | Malinowski goes to college: Factors influencing students' use of ritual and superstition | |
| Frederickson | Evidence-based practice and educational psychology. | |
| Goldstein et al. | Determinants of parents' sideline‐rage emotions and behaviors at youth Soccer games 1 | |
| Werchan et al. | Wakefulness (not sleep) promotes generalization of word learning in 2.5‐year‐old children | |
| Johnson | Return to play guidelines cannot solve the football‐related concussion problem | |
| Siddle et al. | Acute adaptations and subsequent preservation of strength and speed measures following a Nordic hamstring curl intervention: a randomised controlled trial | |
| MX2007015510A (en) | Credit score simulation. | |
| Yeo et al. | A systematic review and qualitative analysis of concussion knowledge amongst sports coaches and match officials | |
| CN107169269A (en) | Fitness campaign capability evaluation system and method | |
| Johnston et al. | There is little difference in the peak movement demands of professional and semi-professional rugby league competition | |
| Selby et al. | Striking a Faustian bargain? Development education, education for sustainable development and the economic growth agenda | |
| Lawless et al. | Sport psychological skills profile of track and field athletes and comparisons between successful and less successful track athletes | |
| Austen et al. | Deafness and Challenging Behaviour: The 360¿ Perspective | |
| McBee | Amateur: A reckoning with gender, identity, and masculinity | |
| Fry | On playing with emotion | |
| Alexander | Mahatma Gandhi: an estimate | |
| Ross | Delayed-onset muscle soreness: work out now, pay later? | |
| Pirsl et al. | Sports metaphors-To live by and spice up sports and other domain specific languages | |
| Tembekar et al. | Tackling aquaphobia using Virtual Reality | |
| Sonnet et al. | ‘Freedom From'or ‘Freedom to'…?: Contemporary Identities in Women's Magazines | |
| Acerbi et al. | Optimality under fire: Dissociating learning from Bayesian integration | |
| Heery et al. | Unearthing the moment | |
| Campion | “Despite the prevalence of child abandonment in Pakistan there are no formal structures for adoption in place”–Tahera Hasan | |
| Gilbert | Uncertainty, Precaution & Perception: Communicating the Risk of Heading in Football |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170915 |
|
| RJ01 | Rejection of invention patent application after publication |