CN110102045A - Human body flexibility detection and immersion type virtual training method - Google Patents
Human body flexibility detection and immersion type virtual training method Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000001514 detection method Methods 0.000 title claims abstract description 18
- 238000007654 immersion Methods 0.000 title claims description 13
- 238000012360 testing method Methods 0.000 claims abstract description 24
- 238000012549 training Methods 0.000 claims abstract description 24
- 230000009471 action Effects 0.000 claims abstract description 12
- 230000008569 process Effects 0.000 claims abstract description 8
- 238000012545 processing Methods 0.000 claims description 16
- 238000013480 data collection Methods 0.000 claims description 11
- 230000004888 barrier function Effects 0.000 claims description 10
- 230000001133 acceleration Effects 0.000 claims description 8
- 230000015572 biosynthetic process Effects 0.000 claims description 2
- 238000003786 synthesis reaction Methods 0.000 claims description 2
- 230000000875 corresponding effect Effects 0.000 claims 6
- 230000003287 optical effect Effects 0.000 abstract description 3
- 210000003414 extremity Anatomy 0.000 description 9
- 238000004891 communication Methods 0.000 description 3
- 238000001914 filtration Methods 0.000 description 3
- 210000003041 ligament Anatomy 0.000 description 2
- 210000003141 lower extremity Anatomy 0.000 description 2
- 230000001568 sexual effect Effects 0.000 description 2
- 210000001364 upper extremity Anatomy 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 210000000988 bone and bone Anatomy 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 210000003811 finger Anatomy 0.000 description 1
- 230000036039 immunity Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000002269 spontaneous effect Effects 0.000 description 1
- 210000003813 thumb Anatomy 0.000 description 1
Classifications
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/20—Input arrangements for video game devices
- A63F13/21—Input arrangements for video game devices characterised by their sensors, purposes or types
- A63F13/211—Input arrangements for video game devices characterised by their sensors, purposes or types using inertial sensors, e.g. accelerometers or gyroscopes
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/20—Input arrangements for video game devices
- A63F13/21—Input arrangements for video game devices characterised by their sensors, purposes or types
- A63F13/212—Input arrangements for video game devices characterised by their sensors, purposes or types using sensors worn by the player, e.g. for measuring heart beat or leg activity
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/25—Output arrangements for video game devices
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/30—Interconnection arrangements between game servers and game devices; Interconnection arrangements between game devices; Interconnection arrangements between game servers
- A63F13/32—Interconnection arrangements between game servers and game devices; Interconnection arrangements between game devices; Interconnection arrangements between game servers using local area network [LAN] connections
- A63F13/327—Interconnection arrangements between game servers and game devices; Interconnection arrangements between game devices; Interconnection arrangements between game servers using local area network [LAN] connections using wireless networks, e.g. Wi-Fi® or piconet
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/45—Controlling the progress of the video game
- A63F13/46—Computing the game score
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/70—Game security or game management aspects
- A63F13/79—Game security or game management aspects involving player-related data, e.g. identities, accounts, preferences or play histories
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Abstract
The invention discloses a human flexibility detection and immersive virtual training method, which can solve the technical problems of unscientific flexibility level detection and training mode, low interestingness and no digital feedback in the current society. The method comprises the following steps: s100, an acquisition terminal firstly performs acquisition test on the flexibility of a human body, and a training scheme is generated by setting a series of actions to detect the flexibility level of the human body in the test process; s200, setting different obstacles on a path by adopting a running form according to the training scheme, wherein the action requirements of the obstacles are determined according to the level of the human body test in the step S100. The optical gesture capturing device can greatly improve the interest of people in flexibility level training in the using process, has higher stability compared with the optical gesture capturing of motion sensing games, is not influenced by the environment, crowds, body types and clothes, and has better applicability.
Description
Technical field
The present invention relates to sport, ergonomics field, and in particular to a kind of human body flexibility detection is virtual with immersion
Training method.
Background technique
We are frequently seen someone and say that oneself is older, has one's fingers all thumbs in usually life.The aging of human body is first
It is embodied in the not flexible of waist-leg, this is that ligament tightens the external manifestation for causing qi and blood to block.Scientific research proves, stretch ligament,
Enhance flexibility, can largely delaying senility, improve the immunity of the human body, extend the service life.And it is mentioned since small
The high flexible training of body helps to improve the flexibility of body.It is current that main to promote flexible movement be Yoga and too
Extremely this kind of body building, but these movements are difficult to attract young man, and present teenager game multipair greatly is interested, if can open
Send out game a and can take exercises but it is available it is teen-age like certainly meaningful, searched relevant information thus,
VR game is suitble to this demand just.
Summary of the invention
A kind of human body flexibility detection proposed by the present invention and immersion virtual training method, can solve soft on present society
The technical issues of toughness levels detection, training method be not scientific, and interest is low, nilization is fed back.
To achieve the above object, the invention adopts the following technical scheme:
A kind of detection of human body flexibility and immersion virtual training method, comprising:
Hardware configuration part: main includes the gyroscope being distributed on each limbs, and function is the posture number for acquiring limbs
According to, including acceleration, deflection angle.
Software section: mainly including single-chip microcontroller processing routine and test training program.Single-chip microcontroller processing routine is responsible for serial ports
The reception of communication data and filtering processing to data, and the data handled well are sent to host computer test training program
In.
It tests training part: being divided into part of detecting and training part.It is write using unity engine.Part of detecting passes through
The flexible sexual stance of exposition body allows user to complete, and is given a mark according to performance, and formulates training side according to score
Case.Training part uses cool run form, and a variety of different obstacles need user to accomplish that specified movement ability perfection is passed through, root
It gives a mark according to the action situation of user, is finally completed game and provides score.Obstacle form generates at random every time.
As shown from the above technical solution, human body flexibility of the invention detection utilizes gyro with immersion virtual training method
Instrument measures human body attitude information and achievees the purpose that the detection of human body flexibility and training since VR game combines.This system being capable of essence
The posture of quasi- measurement human body, without the constraint of clothes, figure；It is surveyed by pliability level of the attitude data to human body
Examination, and provide digitized score.Itself is let the user know that by longitudinal comparison to spontaneous pliability level test result
Pliability level retraining during actual effect.By the data with other people, longitudinally comparison lets the user know that itself
Pliability level is approximate horizontal in contemporary again.
The present invention in use can significant increase to the interest of pliability level training, and compare and body
Feel this kind of optical attitude of game to capture with higher stability, not by environment, the influence of crowd and figure, clothes has
Better applicability.
Detailed description of the invention
Fig. 1 is flow chart of the method for the present invention；
Fig. 2 is structural schematic diagram of the invention；
Fig. 3 is data acquisition and communication structure figure of the invention；
Fig. 4 is software principle figure of the invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.
As shown in Figure 1, Figure 2 and Figure 3, the detection of human body flexibility described in the present embodiment and immersion virtual training method,
Based on hardware configuration, the hardware configuration mainly includes data collection station and data processing module；
The data processing module is connected with data collection station by serial ports, the data processing module include two from
Single-chip microcontroller and a host scm are constituted；Two obtain the upper limb and lower limb posture information of human body from single-chip microcontroller respectively；From monolithic
Machine and host scm communicate；
The data collection station includes the gyroscope that distribution is arranged on each limbs；
The following steps are included:
S100, acquisition terminal are acquired test to the flexibility of human body first, and test process is a series of dynamic by being arranged
Make flexible horizontal and generate training program on this basis to detect human body；
S200, training program use the form of cool run, set different barriers, the action request root of barrier on path
It is determined according to the level of human test in step S100.
Wherein, the step S100 is specifically included:
S101, person model is built；
S102, raw data acquisition；
S103, it is based on initial data collected, to the prefabricated human action sequence of person model, setting training is corresponding dynamic
It is required, generates corresponding training program.
The step S101 builds person model, comprising:
Personage's modeling is completed in 3dmax in advance, and personage possesses bone.In Training scene, add for each limbs of model
Upper corresponding script, handles the space angle of each limbs in gaming, the acceleration of movement respectively.
The S102 raw data acquisition；Include:
Pass through space angle (x, y, z), the acceleration of motion (a of human body during exercise to gyroscope to human body firstx,
ay,az) be acquired, frequency acquisition 20GHz.Each data collection station can integrate one piece of single-chip microcontroller, be responsible for filtering data
Wave resolves, obtains final attitude data and acceleration information and reached in the single-chip microcontroller of responsible Data Synthesis by serial ports；This mistake
Cheng Caiyong median algorithm.Each data acquire 5~10 times and are used as this virtual value.
The step S103 is specifically included, test process can prefabricated some human body action sequences, need during the test
User makes corresponding movement, and test can complete compatible degree according to movement and give a mark for it.Extended meeting is according to the weakness of user afterwards
Link generates corresponding training program.
The step S200 is specifically included: training part uses cool run form, and user makes when trained major way
The barrier in game is hidden in a series of posture movements.It can be set when generating training program according to the low subitem of test process for it
The speed of the requirement posture of barrier and the size of obstacle spacing and personage's movement.
The scheme of the embodiment of the present invention is further illustrated below:
1, hardware components:
Hardware components mainly include data collection station, power-supply management system, data processing module, wireless transport module.
Wherein, data collection station mainly includes the gyroscope being distributed on each limbs, and function is to acquire the appearance of limbs
State data, including acceleration, deflection angle.
Data processing module is connected with data collection station by serial ports, and data processing module is by 2 from single-chip microcontroller and 1
Host scm is constituted.2 obtain the upper limb and lower limb posture information of human body from single-chip microcontroller respectively.
2, software section
As shown in figure 4, the personal information of user can be obtained after logging in if registered users are logged in using account first.If
User had surveyed mistake, had test data information, and software can automatically generate training program using these test information.If not
User is registered, registration is can choose and tourist logs in.Into after game, successively selection test, training.
Software section: mainly including single-chip microcontroller processing routine and test, training game.Single-chip microcontroller processing routine is responsible for serial ports
The reception of communication data and filtering processing to data, and the data handled well are sent in upper machine game.
Gaming portion: game is divided into part of detecting and training part.It is write using unity engine.Part of detecting passes through
The flexible sexual stance of exposition body allows user to complete, and is given a mark according to performance, and formulates training side according to score
Case.Training part uses cool run form, and a variety of different obstacles need user to accomplish that specified movement ability perfection is passed through, root
It gives a mark according to the action situation of user, is finally completed game and provides score.Obstacle form generates at random every time.
Working principle: body posture acquisition terminal is responsible for acquiring the attitude data of each limbs on each limbs band, passes through connection
Line is connected with attitude data integral unit, and data are reached attitude data integral unit.The data handled well pass through wifi
It is sent in VR game, makes identical movement using the 3d virtual portrait in the control game of these attitude datas in game, lead to
It crosses and the attitude data of the personage in game is analyzed to obtain the pliability level of human body and then obtains the flexibility of user
It is horizontal.
The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although with reference to the foregoing embodiments
Invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each implementation
Technical solution documented by example is modified or equivalent replacement of some of the technical features；And these modification or
Replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (6)
1. a kind of human body flexibility detection and immersion virtual training method, it is characterised in that: be based on hardware configuration, the hardware
Structure mainly includes data collection station and data processing module；The data processing module and data collection station pass through serial ports
It is connected, the data collection station includes the gyroscope that distribution is arranged on each limbs；
The following steps are included:
S100, acquisition terminal are acquired test to the flexibility of human body first, test process by be arranged a series of actions come
Detection human body is flexible horizontal and generates training program on this basis；
S200, training program use the form of cool run, set different barriers on path, the action request of barrier is according to step
The level of human test determines in rapid S100.
2. human body flexibility detection according to claim 1 and immersion virtual training method, it is characterised in that: the step
Rapid S100 is specifically included:
S101, person model is built；
S102, raw data acquisition；
S103, it is based on initial data collected, to the prefabricated human action sequence of person model, the corresponding movement of setting training is wanted
It asks, generates corresponding training program.
3. human body flexibility detection according to claim 2 and immersion virtual training method, it is characterised in that: the step
Rapid S101 builds person model, comprising:
Personage's modeling is completed in 3dmax in advance；It is that each limbs of person model add corresponding script in Training scene,
Space angle of each limbs in training, the acceleration of movement are handled respectively.
4. human body flexibility detection according to claim 3 and immersion virtual training method, it is characterised in that: described
S102 raw data acquisition；Include:
Pass through space angle (x, y, z), human body acceleration of motion (a during exercise of the gyroscope to human body firstx,ay,az) into
Row acquisition；
Data collection station is sent to data collected from the data processing module, and data processing module is responsible for data
It is filtered, resolves, obtain final attitude data and acceleration information, finally carry out Data Synthesis again.
5. human body flexibility detection according to claim 3 and immersion virtual training method, it is characterised in that: the step
Rapid S103 is based on initial data collected, and to the prefabricated human action sequence of person model, corresponding action request is trained in setting,
Generate corresponding training program；
It further include that test process can complete compatible degree according to movement and give a mark for it, and rear extended meeting is raw according to the weak link of user
At corresponding training program.
6. human body flexibility detection according to claim 5 and immersion virtual training method, it is characterised in that: the step
Rapid S200 training program uses the form of cool run, sets different barriers on path, the action request of barrier is according to step
The level of human test determines in S100；Further include:
It can be set when generating training program according to the low subitem of test process for it between the requirement posture and barrier of barrier
Away from the mobile speed of size and personage.
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| CN201910286330.4A CN110102045A (en) | 2019-04-10 | 2019-04-10 | Human body flexibility detection and immersion type virtual training method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112289404A (en) * | 2020-10-22 | 2021-01-29 | 中国医学科学院生物医学工程研究所 | Gait training plan generation method, device, equipment and storage medium |
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| CN106308810A (en) * | 2016-09-27 | 2017-01-11 | 中国科学院深圳先进技术研究院 | Human motion capture system |
| CN108854034A (en) * | 2018-07-10 | 2018-11-23 | 南京大学 | It is a kind of that the rehabilitation of stroke patients training system caught is moved based on virtual reality and inertia |
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2019
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| CN104126184A (en) * | 2011-11-23 | 2014-10-29 | 耐克创新有限合伙公司 | Method and system for automated personal training that includes training programs |
| US20150138099A1 (en) * | 2013-11-15 | 2015-05-21 | Marc Robert Major | Systems, Apparatus, and Methods for Motion Controlled Virtual Environment Interaction |
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| CN106166376A (en) * | 2016-08-02 | 2016-11-30 | 河南牧业经济学院 | Simplify taijiquan in 24 forms comprehensive training system |
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Application publication date: 20190809 |