CN110064169A - A kind of interactive mode grade of difficulty neck training system and its application method - Google Patents
A kind of interactive mode grade of difficulty neck training system and its application method Download PDFInfo
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B23/00—Exercising apparatus specially adapted for particular parts of the body
- A63B23/025—Exercising apparatus specially adapted for particular parts of the body for the head or the neck
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
- A63B24/0075—Means for generating exercise programs or schemes, e.g. computerized virtual trainer, e.g. using expert databases
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
- A63B71/0622—Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
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- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
- A63B71/0622—Visual, audio or audio-visual systems for entertaining, instructing or motivating the user
- A63B2071/0636—3D visualisation
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
- A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
- A63B71/0619—Displays, user interfaces and indicating devices, specially adapted for sport equipment, e.g. display mounted on treadmills
- A63B2071/0647—Visualisation of executed movements
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- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/18—Inclination, slope or curvature
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- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B2220/00—Measuring of physical parameters relating to sporting activity
- A63B2220/80—Special sensors, transducers or devices therefor
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Abstract
The invention discloses a kind of interactive grade of difficulty neck training systems, tracking system and interactive system are rotated including neck, interactive system includes training setup module, training reconstruction module, Training valuation module, grade of difficulty selecting module and neck training action library.The invention also discloses a kind of application methods of interactive grade of difficulty neck training system, including (1) neck rotation tracking system is connected by wireless network with interactive system on intelligent devices is arranged, and the neck is rotated into tracking system and is fixed on user head.The present invention provides a kind of interactive grade of difficulty neck training system and its application method, user can not only be instructed to carry out neck training, arrangement can also be collected to the supplemental characteristic in training process, it is additionally arranged interactive function simultaneously, greatly improve the interaction capabilities of product, so as to attract young man to be trained well, the using effect of product is improved, preferably ensure that national health.
Description
Technical field
The invention belongs to neck movement fixture fields, in particular to a kind of interactive grade of difficulty neck training system and its
Application method.
Background technique
The cardinal symptom of cervical spondylosis includes cervical pain, stiff, dizzy, hand is numb, shoulder back is heavy, nausea and vomiting etc..
Nearly ten years, the trend that becomes younger is presented in the appearance of cervical spondylosis, is common in the long-term office worker in face of computer, use of bowing for a long time
Therefore the young man of mobile phone, cervical spondylosis also become the common disease of puzzlement sub-health population, such as intervene not in time and leave it
Further deteriorate, it is possible to lead to cervical vertebra displaced, oppress cervical neural and vertebral artery, induce deaf, paralysis, nerve declines
The serious diseases such as weak, apoplexy.There is initial stage in cervical spondylosis, medical science of recovery therapy expert widelys popularize the training conduct of active neck movement
The means restored and alleviated.There are videos and the softwares such as many neck extensional motions, shoulder neck setting-up exercises, user on network at present
It can download and voluntarily train.But these existing videos or software are substantially nonreciprocal, non intelligent, and user can only see
It is voluntarily trained after seeing training action prompt, current institute can not be understood in the training process and act whether meet training requirement, it is soft
Part does not know about the performance of user yet, can not make reasonable training planning.In addition, noninteractive training tool is to youth
The attraction of people is little, and many people start several days positive imitation exercises, lose interest quickly later, is unfavorable for promoting for a long time.
In consideration of it, being trained using interactive device and intelligence software progress neck movement for training for promotion compliance, being mentioned
High training quality has very big value.For this purpose, the patent of Patent No. ZL2011205619611 discloses a kind of base
In the interactive upper limb healing equipment of microsensor, upper extremity exercise is tracked using multiple wearable sensors, is realized
Interactive training can also evaluate upper extremity function.But this equipment aims at upper extremity exercise design, and monitoring and assessment are calculated
Method is not all suitable for neck training.It has to consider the following of neck movement rehabilitation with intelligentized neck training system
Feature: firstly, neck training is more than and moves, being also included within the holding of certain specific positions, for example trapezius muscle stretches, resistance instruction
Practice etc..User must keep enough time or resistance that enough time is kept to can be only achieved stretching effect in these positions
Fruit；Secondly, neck training must keep left and right sides intensity identical, if unilateral exercise intensity is more than for a long time the other side,
It is easy to cause muscle damage even cervical vertebra displacement.It therefore is all to the left and to the right in the shoulder neck movement that rehabilitation expert recommends
Mirror image training action continuous pairs occur；The muscle group of third, neck and shoulder part position is more very thin compared to limb muscle, traction process
Safety has to emphasis consideration, and training Shi Yaocong low-intensity starts, and is gradually transitions high pressure training after being sufficiently tensile again.Mesh
Before, there are no mature technologies or product that the interactive intelligent neck movement training in view of factors above occur on the market.
Summary of the invention
It is an object of the invention to overcome the above problem, a kind of interactive grade of difficulty neck training system is provided and its is made
With method, user can not only be instructed to carry out neck training, moreover it is possible to arrangement is collected to the supplemental characteristic in training process,
It is additionally arranged interactive function simultaneously, the interaction capabilities of product are greatly improved, so as to attract young man to instruct well
Practice, improve the using effect of product, preferably ensure that national health.
The purpose of the invention is achieved by the following technical solution:
A kind of interactive mode grade of difficulty neck training system, including neck rotate tracking system, by wireless network and are somebody's turn to do
The interactive system that neck rotation tracking system is connected；The interactive system mainly includes trained setup module, training reconstruction mould
Block, Training valuation module and grade of difficulty selecting module, and simultaneously with grade of difficulty selecting module and Training valuation module phase
The neck training action library of connection.
Further, the neck rotation tracking system is connected by three axis rotation sensors with the three axis rotation sensor
The wireless data transfer module connect, and for the power supply group to three axis rotation sensors and wireless data transfer module power supply
At；The effect of the neck rotation tracking system is the kinematic parameter for capturing user's neck in real time, calculates and exports use
In the corner that movement is rebuild and assessed.
Preferably, the interactive system is arranged in smart machine；The smart machine includes PC computer, tablet computer
And smart phone.
Further, the trained setup module is by training parameter setup module, and passes through wireless network and wireless
The calibration module composition that data transmission module is connected；The effect of the trained setup module is for obtaining user to training
The requirement of time, training action number, training difficulty, and user is guided to calibrate system；
Training rebuild module by be connected by wireless network with wireless data transfer module and simultaneously with calibration module phase
The corner correction module of connection, and the 3D motion model-driven module composition being connected with corner correction module；The training
The effect for rebuilding module is to drive 3D motion model according to corner, shows user's for real-time reconstruction and on intelligent devices
Neck movement；
Training valuation module completes detection module by the movement being connected with corner correction module, completes detection mould with movement
The rotational parameters statistical module that block is connected, and the grading module composition being connected with rotational parameters statistical module；The instruction
The effect for practicing evaluation module is for judging whether current action is completed, by up to standard in smart machine prompt action implementation procedure
State node, and obtain the completion score of every kinematic parameter in action executing process and calculating action；
Grade of difficulty selecting module is selected by the first action selection module being connected with training parameter setup module with head movement
The relevant action selecting module that module is connected is selected, while being connected with relevant action selecting module and training parameter setup module
Training terminate judgment module, and simultaneously with grading module and training terminate judgment module be connected grade of difficulty movement choosing
Select module composition；The effect of grade of difficulty selecting module be according to the relevance of front and back training action, difficulty, complete score and
The requirement of user selects training action, and the end for completing training action determines；
The effect in neck training action library is multiple neck training actions, each neck for storing different difficulty levels
The relevance of the standard parameter of training action and each neck training action；Neck training action library and grading module,
First action selection module, relevant action selecting module, training terminates judgment module and grade of difficulty action selection module is connected
It connects.
Preferably, the neck training action of the relevance in neck training action library refers to that two training actions are mutual
For the movement of left and right mirror image, i.e. a neck training action is to the left, the neck of another and the neck training action relevance instructs
Practice and act then to the right, and the neck training action of two relevances is in the same difficulty level；Each neck instruction
The standard parameter for practicing movement includes start angle, angle up to standard, terminal angle, angular velocity range, angle range, keeps angle model
It encloses, kept for angle quiescent time, movement complete reference time and above parameters shared weight in scoring.
Weight when the different neck training actions score is different, and weight is specifically needed according to neck training action
Importance and medical practice experience of the parameter in training set；
The mathematical description of the scoring process is as follows:
If the start angle that neck training action measures when completing is a1, angle up to standard be a2, terminal angle be a3, angle speed
Degree range is a4, angle range a5, holding angular range be a6, holding angle quiescent time be a7, movement complete the reference time
For a8, vector representation is a=(a1,a2,a3,a4a5,a6,a7,a8)；
And the start angle of standard neck training action requirement is set as s1, angle up to standard be s2, terminal angle be s3, angle speed
Degree range is s4, angle range s5, holding angular range be s6, holding angle quiescent time be s7, movement complete the reference time
For s8, vector representation is s=(s1,s2,s3,s4s5,s6,s7,s8)；
If the scoring weight of start angle is w1, angle up to standard scoring weight be w2, terminal angle scoring weight be
w3, angular velocity range scoring weight be w4, angle range scoring weight be w5, keep angular range scoring weight be w6、
The scoring weight for being kept for angle quiescent time is w7, movement complete the reference time scoring weight be w8, the scoring weighted vector table
It is shown as w=(w1,w2,w3,w4,w5,w6,w7,w8), and w1、w2、w3、w4、w5、w6、w7、w8It is not less than 0；
Neck training action score is that the Euclidean distance after weighting by w between two vector a and s is calculated, specific score
Calculation formula is then are as follows:
Neck training action score=100-Dis<wa, ws>
=100-sqrt (w1 2(a1-s1)2+w2 2(a2-s2)2+w3 2(a3-s3)2+…+w8 2(a8-s8)2)；
It is safety action score range within 0~100, when score < 0, assignment is scored at 0.
A kind of application method of interactive mode grade of difficulty neck training system, comprising the following steps:
(1) neck tracking system is rotated to be connected by wireless network with the interactive system of setting on intelligent devices,
And neck rotation tracking system is fixed on user head；
(2) initial setting up is carried out in training setup module by smart machine, which includes training time, instruction
Practice movement number and training difficulty；
(3) user to defined position and protects according to the suggestion content rotation neck of training setup module on smart machine
Hold static, the training setup module then three Shaft angle data progress to three axis rotation sensors feedback in neck rotation tracking system
Three Shaft angle data of record are carried out system calibration by record, calibration module；
(4) grade of difficulty selecting module carries out movement selection for the first time according to the training difficulty in initial setting up, acts for the first time
The neck training action that the grade of difficulty selecting module matches from neck training action library with the training difficulty of selection when selection
In randomly select one as the first time movement presented to start to train；
(5) user starts to train according to the movement that smart machine is presented, and module is rebuild in training will continue to receive neck
It rotates three Shaft angle data of tracking system feedback and the angular deviation correction value of training setup module feedback, training is rebuild
Three Shaft angle correction values are calculated according to three Shaft angle data and angular deviation correction value in corner correction module in module,
And three Shaft angle correction values are sent to 3D motion model-driven module and Training valuation module, drive 3D motion model-driven mould
Root tuber carries out the foundation and display of 3D model, and then the reconstruction process of execution according to three Shaft angle correction values；
(6) Training valuation module persistently receives three Shaft angle correction values, is turned wherein detection module is completed in movement according to three axis
Angle correction value judges whether the current neck turned position of user reaches start angle, whether reach angle up to standard, whether reach
Terminal angle, whether keep within angular range, whether in the time enough that kept angle static, and arbitrarily sentence above-mentioned
User is prompted by smart machine when broken strip part meets, while finally judging currently to move by above-mentioned Rule of judgment
Whether complete, and by rotational parameters statistical module to the performance of current action, every kinematic parameter carry out statistics and
Raw score, while also number is repeated by record current action；If current action repeats number and not up to provides
Number then return step (5)；It is repeated if current action and passes through grading module if number reaches stipulated number the movement is gone through
The raw score of secondary completion carries out average score and shows, while entering step (7)；
(7) whether grade of difficulty selecting module will determine whether to need to carry out new movement or needs to terminate to train,
New movement and return step (5) are selected by the grade of difficulty selecting module if the movement that judgement needs to carry out newly, if sentencing
It is disconnected that end training is needed then to terminate training by smart machine display.
Specific judgement process in step (7) are as follows:
(7.1) whether the movement currently completed by the judgement of relevant action selecting module is the neck training for possessing relevance
Movement, enters step (7.3) if judging result is the neck training action for not possessing relevance, if judging result is to possess pass
The neck training action of connection property then enters (7.2)；
(7.2) by relevant action selecting module judge it is upper one movement whether be current execution relevance neck
Training action is to enter step (7.3), and the relevance neck training action of current execution is otherwise selected to move as new
Carry out presenting simultaneously return step (5) on intelligent devices；
(7.3) by training terminate judgment module judge the current training time whether be more than initial setting up training time or
Whether be more than initial setting up training action number, the judging result of training time and training action number any one to be then
Terminate training；Otherwise (7.4) are entered step；
(7.4) grade of difficulty action selection module judge current action whether be highest difficulty level neck training it is dynamic
Make, the neck of a non-selected mistake is if the determination result is YES then randomly choosed in other neck training actions of current difficulty level
Portion's training action presents on intelligent devices as new movement and return step (5)；Otherwise (7.5) are entered step；
(7.5) grade of difficulty action selection module judges whether current action is that this trains this difficulty level completed
Movement more than n-th is to enter step (7.6)；Otherwise random in other neck training actions of current difficulty level
The neck training action of a non-selected mistake is selected as new movement, simultaneously return step (5) is presented on intelligent devices；
(7.6) overall average of the average score for the current difficulty level movement that the judgement of grade of difficulty action selection module is completed
Whether score value reaches M, if then entering step (7.7)；Otherwise random in other neck training actions of current difficulty level
The neck training action of a non-selected mistake is selected as new movement, simultaneously return step (5) is presented on intelligent devices；
(7.7) other necks of grade of difficulty action selection module in difficulty level more higher leveled than current difficulty level
The neck training action that a non-selected mistake is randomly choosed in training action is presented and is returned on intelligent devices as new movement
It returns step (5).
The M in N and step (7.5) in step (7.4) is parameter preset, and the N and M are positive number, and N and M be can
The parameter preset being modified.
Compared with prior art, the present invention have the following advantages that and the utility model has the advantages that
(1) present invention is provided with neck rotation tracking system, can be good at being acquired the training parameter of user,
So that product can obtain the training of user during use.
(2) present invention rotates the cooperation of tracking system and interactive system by neck, can carry out 3D on intelligent devices
Model is presented, and makes user possess better dipped type and interest in training by way of prompt, and user can
To complete training under the situation of similar game, can preferably be received by young man, to preferably improve user's
Experience property and to trained compliance.
(3) method of the invention can voluntarily adjust the difficulty of neck training action according to the training performance of user
Degree, preferably to play trained effect, further improves the intelligence of product.
Detailed description of the invention
Fig. 1 is the composed structure block diagram of neck training system of the invention.
Fig. 2 is the specific judgement flow diagram of grade of difficulty selecting module of the invention.
Specific embodiment
Below with reference to embodiment, the present invention is described in further detail, and embodiments of the present invention are not limited thereto.
Embodiment 1
A kind of interactive mode grade of difficulty neck training system, including neck rotate tracking system, by wireless network and are somebody's turn to do
The interactive system that neck rotation tracking system is connected；The interactive system mainly includes trained setup module, training reconstruction mould
Block, Training valuation module and grade of difficulty selecting module, and simultaneously with grade of difficulty selecting module and Training valuation module phase
The neck training action library of connection.
Neck rotation tracking system by three axis rotation sensors, be connected with the three axis rotation sensor without line number
Power supply according to transmission module, and for three axis rotation sensors and wireless data transfer module power supply forms；The neck
The effect of rotation tracking system is kinematic parameter for capturing user's neck in real time, calculate and export rebuild for acting and
The corner of assessment.
The effect of neck rotation tracking system is every kinematic parameter when capturing head and neck motion, and neck rotation tracks
System is the prior art, and the neck of the model MMocap of Wuxi Weigan Technology Co., Ltd. is selected to rotate tracking system or Sichuan
The neck of the model YD122 of rising sun health medical treatment Electrical Appliances Co., Ltd rotates tracking system, and those skilled in the art retouch according to above-mentioned
It states it is not necessary that the setting and use that the neck rotates tracking system can be completed by creative labor, herein just without superfluous
It states.
The interactive system is arranged in smart machine；The smart machine includes PC computer, tablet computer and intelligence
Mobile phone.
Training setup module is connected by training parameter setup module, and by wireless network with wireless data transfer module
The calibration module composition connect；The effect of the trained setup module is for obtaining user to training time, training action number
The requirement of mesh, training difficulty, and user is guided to calibrate system；
The training setup module is difficult to training time, training action number, training for interactively obtaining user
The requirement of degree, guidance user rotate neck and to specified position and remain stationary, and record three Shaft angles at this time, inclined as angle
Shifting amount correction value.
Training rebuild module by be connected by wireless network with wireless data transfer module and simultaneously with calibration module phase
The corner correction module of connection, and the 3D motion model-driven module composition being connected with corner correction module；The training
The effect for rebuilding module is to drive 3D motion model according to corner, shows user's for real-time reconstruction and on intelligent devices
Neck movement；
Training valuation module completes detection module by the movement being connected with corner correction module, completes detection mould with movement
The rotational parameters statistical module that block is connected, and the grading module composition being connected with rotational parameters statistical module；The instruction
The effect for practicing evaluation module is for judging whether current action is completed, by up to standard in smart machine prompt action implementation procedure
State node, and obtain the completion score of every kinematic parameter in action executing process and calculating action；
When the Training valuation module is used to judge current neck rotary state and make prompt, record training action is completed
Every kinematic parameter, calculating action complete score.Training valuation module rebuilds three Shaft angle correction values of module output with training
It mainly include start angle, angle up to standard, terminal in conjunction with the standard movement parameter of current training action mainly to deal with objects
Angle keeps angular range, is kept for angle quiescent time, judges whether to reach each defined condition, determines whether movement is complete
At.Such as judge that movement is completed, counts every kinematic parameter in complete process, it is each according to this movement in neck training action library
Component number has been calculated in the scoring weight of item parameter and movement completion reference time.Training valuation module includes the movement being connected to each other
Complete detection module, rotational parameters statistical module and grading module.
Grade of difficulty selecting module is selected by the first action selection module being connected with training parameter setup module with head movement
The relevant action selecting module that module is connected is selected, while being connected with relevant action selecting module and training parameter setup module
Training terminate judgment module, and simultaneously with grading module and training terminate judgment module be connected grade of difficulty movement choosing
Select module composition；The effect of grade of difficulty selecting module be according to the relevance of front and back training action, difficulty, complete score and
The requirement of user selects training action, and the end for completing training action determines；
The effect in neck training action library is multiple neck training actions, each neck for storing different difficulty levels
The relevance of the standard parameter of training action and each neck training action；Neck training action library and grading module,
First action selection module, relevant action selecting module, training terminates judgment module and grade of difficulty action selection module is connected
It connects.
Multiple difficulty levels are provided in the neck training action library, and have the instruction of certain amount in each difficulty level
Practice movement.
The neck training action of relevance in neck training action library refers to two training actions left and right mirror each other
As movement, i.e. a neck training action to the left, another neck training action with the neck training action relevance then
To the right, and the neck training action of two relevances is in the same difficulty level；Each neck training action
Standard parameter includes start angle, angle up to standard, terminal angle, angular velocity range, angle range, keeps angular range, keeps
Angle quiescent time, movement complete reference time and above parameters shared weight in scoring.
Weight when the different neck training actions score is different, and weight is specifically needed according to neck training action
Importance and medical practice experience of the parameter in training set；
The mathematical description of the scoring process is as follows:
If the start angle that neck training action measures when completing is a1, angle up to standard be a2, terminal angle be a3, angle speed
Degree range is a4, angle range a5, holding angular range be a6, holding angle quiescent time be a7, movement complete the reference time
For a8, vector representation is a=(a1,a2,a3,a4a5,a6,a7,a8)；
And the start angle of standard neck training action requirement is set as s1, angle up to standard be s2, terminal angle be s3, angle speed
Degree range is s4, angle range s5, holding angular range be s6, holding angle quiescent time be s7, movement complete the reference time
For s8, vector representation is s=(s1,s2,s3,s4s5,s6,s7,s8)；
If the scoring weight of start angle is w1, angle up to standard scoring weight be w2, terminal angle scoring weight be
w3, angular velocity range scoring weight be w4, angle range scoring weight be w5, keep angular range scoring weight be w6、
The scoring weight for being kept for angle quiescent time is w7, movement complete the reference time scoring weight be w8, the scoring weighted vector table
It is shown as w=(w1,w2,w3,w4,w5,w6,w7,w8), and w1、w2、w3、w4、w5、w6、w7、w8It is not less than 0；
Neck training action score is that the Euclidean distance after weighting by w between two vector a and s is calculated, specific score
Calculation formula is then are as follows:
Neck training action score=100-Dis<wa, ws>
=100-sqrt (w1 2(a1-s1)2+w2 2(a2-s2)2+w3 2(a3-s3)2+…+w8 2(a8-s8)2)；
It is safety action score range within 0~100, when score < 0, assignment is scored at 0.
Embodiment 2
A kind of application method of interactive mode grade of difficulty neck training system, comprising the following steps:
(1) neck tracking system is rotated to be connected by wireless network with the interactive system of setting on intelligent devices,
And neck rotation tracking system is fixed on user head；
(2) initial setting up is carried out in training setup module by smart machine, which includes training time, instruction
Practice movement number and training difficulty；
(3) user to defined position and protects according to the suggestion content rotation neck of training setup module on smart machine
Hold static, the training setup module then three Shaft angle data progress to three axis rotation sensors feedback in neck rotation tracking system
Three Shaft angle data of record are carried out system calibration by record, calibration module；
(4) grade of difficulty selecting module carries out movement selection for the first time according to the training difficulty in initial setting up, acts for the first time
The neck training action that the grade of difficulty selecting module matches from neck training action library with the training difficulty of selection when selection
In randomly select one as the first time movement presented to start to train；
(5) user starts to train according to the movement that smart machine is presented, and module is rebuild in training will continue to receive neck
It rotates three Shaft angle data of tracking system feedback and the angular deviation correction value of training setup module feedback, training is rebuild
Three Shaft angle correction values are calculated according to three Shaft angle data and angular deviation correction value in corner correction module in module,
And three Shaft angle correction values are sent to 3D motion model-driven module and Training valuation module, drive 3D motion model-driven mould
Root tuber carries out the foundation and display of 3D model, and then the reconstruction process of execution according to three Shaft angle correction values；
(6) Training valuation module persistently receives three Shaft angle correction values, is turned wherein detection module is completed in movement according to three axis
Angle correction value judges whether the current neck turned position of user reaches start angle, whether reach angle up to standard, whether reach
Terminal angle, whether keep within angular range, whether in the time enough that kept angle static, and arbitrarily sentence above-mentioned
User is prompted by smart machine when broken strip part meets, while finally judging currently to move by above-mentioned Rule of judgment
Whether complete, and by rotational parameters statistical module to the performance of current action, every kinematic parameter carry out statistics and
Raw score, while also number is repeated by record current action；If current action repeats number and not up to provides
Number then return step (5)；It is repeated if current action and passes through grading module if number reaches stipulated number the movement is gone through
The raw score of secondary completion carries out average score and shows, while entering step (7)；
(7) whether grade of difficulty selecting module will determine whether to need to carry out new movement or needs to terminate to train,
New movement and return step (5) are selected by the grade of difficulty selecting module if the movement that judgement needs to carry out newly, if sentencing
It is disconnected that end training is needed then to terminate training by smart machine display.
Specific judgement process in step (7) are as follows:
(7.1) whether the movement currently completed by the judgement of relevant action selecting module is the neck training for possessing relevance
Movement, enters step (7.3) if judging result is the neck training action for not possessing relevance, if judging result is to possess pass
The neck training action of connection property then enters (7.2)；
(7.2) by relevant action selecting module judge it is upper one movement whether be current execution relevance neck
Training action is to enter step (7.3), and the relevance neck training action of current execution is otherwise selected to move as new
Carry out presenting simultaneously return step (5) on intelligent devices；
(7.3) by training terminate judgment module judge the current training time whether be more than initial setting up training time or
Whether be more than initial setting up training action number, the judging result of training time and training action number any one to be then
Terminate training；Otherwise (7.4) are entered step；
(7.4) grade of difficulty action selection module judge current action whether be highest difficulty level neck training it is dynamic
Make, the neck of a non-selected mistake is if the determination result is YES then randomly choosed in other neck training actions of current difficulty level
Portion's training action presents on intelligent devices as new movement and return step (5)；Otherwise (7.5) are entered step；
(7.5) grade of difficulty action selection module judges whether current action is that this trains this difficulty level completed
Movement more than n-th is to enter step (7.6)；Otherwise random in other neck training actions of current difficulty level
The neck training action of a non-selected mistake is selected as new movement, simultaneously return step (5) is presented on intelligent devices；
(7.6) overall average of the average score for the current difficulty level movement that the judgement of grade of difficulty action selection module is completed
Whether score value reaches M, if then entering step (7.7)；Otherwise random in other neck training actions of current difficulty level
The neck training action of a non-selected mistake is selected as new movement, simultaneously return step (5) is presented on intelligent devices；
(7.7) other necks of grade of difficulty action selection module in difficulty level more higher leveled than current difficulty level
The neck training action that a non-selected mistake is randomly choosed in training action is presented and is returned on intelligent devices as new movement
It returns step (5).
The M in N and step (7.5) in step (7.4) is parameter preset, and the N and M are positive number, and N and M be can
The parameter preset being modified.
The present invention is mainly that the sub-health population perplexed by cervical spondylosis early symptom designs, these people do not need to be admitted to hospital and control
It treats, but needs actively to carry out the training of active cervical vertebra in daily life, to alleviate symptom, restore cervical vertebra health.It considers
The demand of this huge population, the present invention are innovated in interactivity first, are made using the 3D motion Model Reconstruction of interaction
User's head and neck motion state, and multi-media cues are provided when meeting a certain condition, so that training process has very strong immersion
Property and interest, improve trained compliance.In addition, having intelligentized movement assessment algorithm and movement selection algorithm to merge
The professional knowledge of a large amount of medical sciences of recovery therapy, has simulated professional physiatrician considering in practical rehabilitation practice and strategy.Therefore,
Compared with prior art, the present invention having substantive distinguishing features outstanding and marked improvement.
As described above, the present invention can be realized well.
Claims (9)
1. a kind of interactive mode grade of difficulty neck training system, it is characterised in that: tracking system is rotated including neck, by wireless
The interactive system that network is connected with neck rotation tracking system；The interactive system mainly includes trained setup module, instruction
Practice and rebuild module, Training valuation module and grade of difficulty selecting module, and is commented simultaneously with grade of difficulty selecting module and training
Estimate the neck training action library that module is connected.
2. a kind of interactive grade of difficulty neck training system according to claim 1, it is characterised in that: the neck turns
Motion tracking system is by three axis rotation sensors, the wireless data transfer module being connected with the three axis rotation sensor, Yi Jiyong
It is formed in the power supply to three axis rotation sensors and wireless data transfer module power supply；The effect of the neck rotation tracking system
It is the kinematic parameter for capturing user's neck in real time, calculates and export for acting the corner rebuild and assessed.
3. a kind of interactive grade of difficulty neck training system according to claim 2, it is characterised in that: the interaction system
System is arranged in smart machine；The smart machine includes PC computer, tablet computer and smart phone.
4. a kind of interactive grade of difficulty neck training system according to claim 3, it is characterised in that: the training is set
Module is set by training parameter setup module, and the calibration module group being connected by wireless network with wireless data transfer module
At；The effect of the trained setup module is to want for obtaining user to training time, training action number, training difficulty
It asks, and user is guided to calibrate system；
Training rebuilds module by being connected by wireless network with wireless data transfer module and being connected simultaneously with calibration module
Corner correction module, and be connected with corner correction module 3D motion model-driven module composition；The training is rebuild
The effect of module is to drive 3D motion model according to corner, shows the neck of user for real-time reconstruction and on intelligent devices
Movement；
Training valuation module completes detection module by the movement being connected with corner correction module, completes detection module phase with movement
The rotational parameters statistical module of connection, and the grading module composition being connected with rotational parameters statistical module；The training is commented
The effect for estimating module is to pass through shape up to standard in smart machine prompt action implementation procedure for judging whether current action is completed
State node, and obtain the completion score of every kinematic parameter in action executing process and calculating action；
Grade of difficulty selecting module acts selection mould with head by the first action selection module being connected with training parameter setup module
The relevant action selecting module that block is connected, while the instruction being connected with relevant action selecting module and training parameter setup module
Practicing terminates judgment module, and terminates the grade of difficulty that judgment module is connected with grading module and training simultaneously and act selection mould
Block composition；The effect of grade of difficulty selecting module is according to the relevance of front and back training action, difficulty, completes score and use
The requirement of person selects training action, and the end for completing training action determines；
The effect in neck training action library is for storing multiple neck training actions of different difficulty levels, the training of each neck
The relevance of the standard parameter of movement and each neck training action；Neck training action library and grading module, head are dynamic
Elect module, relevant action selecting module, training terminates judgment module and grade of difficulty action selection module and is connected.
5. a kind of interactive grade of difficulty neck training system according to claim 4, it is characterised in that: the neck instruction
The neck training action for practicing the relevance in maneuver library refers to that left and right mirror image acts two training actions each other, i.e. a neck instruction
Practice movement to the left, another neck training action with the neck training action relevance then to the right, and two relevances
Neck training action be in the same difficulty level；The standard parameter of each neck training action includes initial angle
Degree, angle up to standard, terminal angle, angular velocity range, angle range keep angular range, are kept for angle quiescent time, acted
The shared weight when scoring at reference time and parameters above.
6. a kind of interactive grade of difficulty neck training system according to claim 5, it is characterised in that: the difference
The scoring of neck training action when weight it is different, weight specifically needs the weight according to the parameter of neck training action in training
The property wanted and medical practice experience are set；
The mathematical description of the scoring process is as follows:
If the start angle that neck training action measures when completing is a1, angle up to standard be a2, terminal angle be a3, angular speed model
It encloses for a4, angle range a5, holding angular range be a6, holding angle quiescent time be a7, movement complete the reference time be a8,
Vector representation is a=(a1,a2,a3,a4 a5,a6,a7,a8)；
And the start angle of standard neck training action requirement is set as s1, angle up to standard be s2, terminal angle be s3, angular speed model
It encloses for s4, angle range s5, holding angular range be s6, holding angle quiescent time be s7, movement complete the reference time be s8,
Vector representation is s=(s1,s2,s3,s4 s5,s6,s7,s8)；
If the scoring weight of start angle is w1, angle up to standard scoring weight be w2, terminal angle scoring weight be w3, angle
The scoring weight of velocity interval is w4, angle range scoring weight be w5, keep angular range scoring weight be w6, keep
The scoring weight of angle quiescent time is w7, movement complete the reference time scoring weight be w8, which is expressed as
W=(w1,w2,w3,w4,w5,w6,w7,w8), and w1、w2、w3、w4、w5、w6、w7、w8It is not less than 0；
Neck training action score is that the Euclidean distance after weighting by w between two vector a and s is calculated, and specific score calculates
Formula is then are as follows:
Neck training action score=100-Dis<wa, ws>
=100-sqrt (w1 2(a1-s1)2+w2 2(a2-s2)2+w3 2(a3-s3)2+…+w8 2(a8-s8)2)；
It is safety action score range within 0~100, when score < 0, assignment is scored at 0.
7. based on a kind of application method of interactive mode grade of difficulty neck training system described in claim 1-6, feature exists
In: the following steps are included:
(1) neck is rotated tracking system to be connected by wireless network with the interactive system of setting on intelligent devices, and will
Neck rotation tracking system is fixed on user head；
(2) initial setting up is carried out in training setup module by smart machine, which includes the training time, trains and move
Make number and training difficulty；
(3) user to defined position and keeps quiet according to the suggestion content rotation neck of training setup module on smart machine
Only, training setup module then remembers three Shaft angle data of three axis rotation sensors feedback in neck rotation tracking system
Three Shaft angle data of record are carried out system calibration by record, calibration module；
(4) grade of difficulty selecting module carries out movement selection for the first time according to the training difficulty in initial setting up, for the first time movement selection
When the grade of difficulty selecting module from neck training action library with the training difficulty of selection match neck training action in
Machine is chosen one and is presented as movement for the first time to start to train；
(5) user starts to train according to the movement that smart machine is presented, and module is rebuild in training will continue to receive neck rotation
Module is rebuild in three Shaft angle data of tracking system feedback and the angular deviation correction value of training setup module feedback, training
In corner correction module be calculated three Shaft angle correction values according to three Shaft angle data and angular deviation correction value, and will
Three Shaft angle correction values are sent to 3D motion model-driven module and Training valuation module, drive 3D motion model-driven module root
The foundation and display of 3D model, and then the reconstruction process of execution are carried out according to three Shaft angle correction values；
(6) Training valuation module persistently receives three Shaft angle correction values, is repaired wherein detection module is completed in movement according to three Shaft angles
Positive value judges whether the current neck turned position of user reaches start angle, whether reach angle up to standard, whether reach terminal
Angle, whether keep within angular range, whether in the time enough that kept angle static, and in above-mentioned any judgement item
User is prompted by smart machine when part meets, while finally judging that current action is by above-mentioned Rule of judgment
No completion, and statistics and preliminary is carried out to the performance of current action, every kinematic parameter by rotational parameters statistical module
Scoring, while also number is repeated by record current action；If current action repeats number and is not up to stipulated number
Then return step (5)；Repeat that pass through grading module if number reaches stipulated number all previous to the movement complete if current action
At raw score average score and show, while entering step (7)；
(7) whether grade of difficulty selecting module will determine whether to need to carry out new movement or needs to terminate to train, if sentencing
The disconnected movement for needing to carry out newly then selects new movement and return step (5) by the grade of difficulty selecting module, if judgement needs
Terminate training and end training is then shown by smart machine.
8. a kind of application method of interactive grade of difficulty neck training system according to claim 7, it is characterised in that:
Specific judgement process in step (7) are as follows:
(7.1) movement currently completed by the judgement of relevant action selecting module whether be possess relevance neck training it is dynamic
Make, enter step (7.3) if judging result is the neck training action for not possessing relevance, if judging result is to possess association
The neck training action of property then enters (7.2)；
(7.2) by relevant action selecting module judge it is upper one movement whether be current execution relevance neck training
Movement, is to enter step (7.3), the relevance neck training action of current execution is otherwise selected to exist as new movement
Carry out presenting simultaneously return step (5) on smart machine；
(7.3) by training terminate judgment module judge the current training time whether be more than initial setting up training time or whether
More than the training action number of initial setting up, the judging result of training time and training action number any one to be to terminate
Training；Otherwise (7.4) are entered step；
(7.4) grade of difficulty action selection module judge current action whether be highest difficulty level neck training action, if
Judging result is the neck instruction for being then one non-selected mistake of random selection in other neck training actions of current difficulty level
Practice movement and simultaneously return step (5) is presented on intelligent devices as new movement；Otherwise (7.5) are entered step；
(7.5) grade of difficulty action selection module judge current action whether be this training complete this difficulty level N
A above movement, is to enter step (7.6)；Otherwise it is randomly choosed in other neck training actions of current difficulty level
The neck training action of one non-selected mistake presents on intelligent devices as new movement and return step (5)；
(7.6) the overall average score value of the average score for the current difficulty level movement that the judgement of grade of difficulty action selection module is completed
Whether M is reached, if then entering step (7.7)；Otherwise it is randomly choosed in other neck training actions of current difficulty level
The neck training action of one non-selected mistake presents on intelligent devices as new movement and return step (5)；
(7.7) other necks training of the grade of difficulty action selection module in difficulty level more higher leveled than current difficulty level
The neck training action that a non-selected mistake is randomly choosed in movement presents on intelligent devices as new movement and returns to step
Suddenly (5).
9. a kind of application method of interactive grade of difficulty neck training system according to claim 8, it is characterised in that:
The M in N and step (7.5) in step (7.4) is parameter preset, and the N and M are positive number, and N and M are that can be modified
Parameter preset.
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| CN111700619A (en) * | 2020-05-28 | 2020-09-25 | 广西壮族自治区人民医院 | Neck rehabilitation auxiliary system and device thereof |
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