CN106388830B - Balance detection method based on Wii Balance board - Google Patents
Balance detection method based on Wii Balance board Download PDFInfo
- Publication number
- CN106388830B CN106388830B CN201610840259.6A CN201610840259A CN106388830B CN 106388830 B CN106388830 B CN 106388830B CN 201610840259 A CN201610840259 A CN 201610840259A CN 106388830 B CN106388830 B CN 106388830B
- Authority
- CN
- China
- Prior art keywords
- cop
- balance
- index
- wii
- value
- 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.)
- Expired - Fee Related
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1116—Determining posture transitions
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/10—Athletes
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Medical Informatics (AREA)
- Engineering & Computer Science (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Pathology (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Veterinary Medicine (AREA)
- Physiology (AREA)
- Dentistry (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Physics & Mathematics (AREA)
- Animal Behavior & Ethology (AREA)
- Biophysics (AREA)
- Heart & Thoracic Surgery (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention discloses a kind of balance detection methods based on Wii Balance board, qualified subject is selected by stringent screening conditions to test, and acquires the balancing information of subject front and back different gestures using WBB and is recorded by matlab program.Same amount of record data are selected to carry out centralization processing, to treated, data calculate corresponding balance index, the experiment front and back variation of different indexs is obtained after the completion of calculating, correlation analysis is carried out in conjunction with the cinetosis change of rank amount of subject, to obtain the calculating that the weight of different balance indexs participates in total balance index, finally obtaining total balance index can the scientific and reasonable change conditions for characterizing balance.
Description
Technical field
The invention belongs to balance detection technique fields, more specifically, are related to a kind of based on Wii Balance
The balance detection method of board.
Background technique
Vision induction cinetosis (visually induced motion sickness, VIMS) is groups of people in viewing 3D view
It can cause the physiology discomfort phenomenon such as dizzy, dizzy, nauseous when frequency.In skills such as 3D, virtual realities (Virtual Reality, VR)
Art develops rapidly instantly, and this phenomenon has become the considerable hurdle for influencing user experience, therefore solves the problems, such as to become and work as
It is engaged in anxious.Cinetosis is related to as a physiological phenomenon of human body and its complicated physiological reaction, and there is presently no researchs to this
Physiological phenomenon gives detailed analytic explanation.The significant phenomenon of one of cinetosis is exactly the balance variation of human body, and the balance of people
Ability is a complicated cerebral function.It has important role and in people's daily life in some sports
In be also important sports and compare with, usually outstanding sportsman has better balanced capacity.Balanced capacity is for there is balance
Property problem patient's (apoplexy, Parkinson disease etc.) be also it is extremely important, balanced capacity is impaired to may cause tumble, this is
One primary pathogenic event of the elderly's unexpected death.Therefore the balance of research measurement human body still exists either in VIMS
Other aspects are all of great significance.
In the prior art, balance plate Wii Balance Board (WBB) is a very good balance measurement work
Tool.WBB not only has extreme high reliability and accurate sensitivity, but also cheap, simple and practical.During the test,
By Center of Pressure (center of pressure, CoP) on Matlab programmed acquisition balance plate and sensor information etc., so
Collected information is handled by centralization afterwards, chooses ideal time hop counts according to accurately being analyzed.It is most to grind
Study carefully the general parameter waved using the average path CoP rate and average absolute apart from the two indexs as measurement balance, this
Invention proposes the other three index: the main domain area (doamin_area) of CoP, CoP standard on the basis of the two indexs
Difference, CoP speed standard it is poor, selected five subjects to test in total, the results showed that three kinds of index schools proposed by the present invention it
Preceding two indices have higher characterization ability, can describe current subject balance after experiment well and significantly become
It is dynamic, it can be with the cinetosis size cases of more specific description subject in conjunction with their subjective questionnaire.
Summary of the invention
It is flat based on Wii Balance board that it is an object of the invention to overcome the deficiencies of the prior art and provide a kind of
Weighing apparatus property detection method judges that the balance of tester is changed by five balanced indexes, has simple and easy and judgement essence
The features such as quasi-.
For achieving the above object, a kind of balance detection method based on Wii Balance board of the present invention,
It is characterized in that, comprising the following steps:
(1), balancing information is obtained by balance board measurement
To tester using the balance under Wii Balance board measurement different conditions, and pass through matlab
Program records the Center of Pressure point (center of pressure, CoP) and timestamp of human body, and record file is written;
(2), calculated equilibrium index
CoP point all in 1min under a certain state is chosen from record file, then the balance calculated under the state refers to
Mark;
(2.1) main domain area domain_area
It asks all CoP points in x, the coordinate mean value of y-axis, obtains virtual center point, then ask each CoP point to virtual center
The distance value of point;
All distance values are sorted from small to large and are stored in array sorted_data [], with k-th after sequence
Distance value is radius quadrature of a circle, obtains main domain area domain_area;
Sorted_data []=sort (data [])
Domain_area=π × (sorted_data [λ × num])2
Wherein, sorted () is ranking functions, and λ is parameter factors;
(2.2) CoP standard deviation stdCoP
All CoP points are calculated in x, the standard deviation std of y-axis componentCoP_x、stdCoP_y, then calculate the CoP mark of all CoP points
Quasi- difference stdCoP;
Wherein, n indicates CoP point number, xi,yiThe coordinate value of i-th of CoP point is respectively indicated,Indicate virtual center
The coordinate value of point;
(2.3) CoP speed standard is poor
Seek the rate vel of adjacent C oP pointi;
Wherein, dis () is to ask two o'clock distance function, timeiIt is i-th of timestamp, veliIt is i-th of rate value;
Calculate CoP speed standard difference vel_std:
Wherein,It is the average value of the rate of all adjacent C oP points;
(2.4), the average path CoP rate vel_mean
(2.5), average absolute CoP waves distance sway_dis_mean
Wherein,Indicate virtual center point;
(3) overall balance index balance_index
Wherein, rjFor the relative coefficient of each index and vision cinetosis, indexjFor corresponding balanced index;
(4), according to step (2) and step (3) the method, the overall balance calculated under remaining state of tester refers to
Mark, the balance of tester is judged further according to the overall balance index under each state.
Goal of the invention of the invention is achieved in that
The present invention is based on the balance detection methods of Wii Balance board, select conjunction by stringent screening conditions
The subject of lattice tests, and acquires the balancing information of subject front and back different gestures using WBB and passes through matlab journey
Sequence is recorded.Same amount of record data are selected to carry out centralization processing, the corresponding balance of data calculating refers to treated
Mark obtains variation before and after the experiment of different indexs after the completion of calculating, carry out phase in conjunction with the cinetosis change of rank amount of subject
The analysis of closing property, so that the weight for obtaining different balance indexs participates in the calculating of total balance index, finally obtains total balance and refers to
Mark can the scientific and reasonable change conditions for characterizing balance.
Meanwhile the present invention is based on the balance detection methods of Wii Balance board also to have the advantages that
(1), balanced index proposed by the present invention can compensate for traditional from the measurement of being balanced property of different aspect
The single predicament of balance index, and each index has been effectively combined by correlation analysis, propose that overall objective can be more scientific
Reasonably measure the change conditions of balance.
(2), proposition of the invention has greatly facilitated balance plate for scientific research and people's lives, for this balance
The building of index system, measurement balance become simple and fast.The ease for use and entertainment of balance plate, are favored by people;Knot
Balance detection instrument easy to use can be released by closing the present invention, and the patient for facilitating balance bad carries out effectively rehabilitation and controls
It treats, the training detection that can be used for sports personnel improves people's lives matter greatly beneficial to the health of people
Amount.
Detailed description of the invention
Fig. 1 is the test device figure of balance plate Wii Balance board;
Fig. 2 is the dynamic driving simulator schematic diagram based on virtual reality;
Fig. 3 is the assessment experimentation schematic diagram for causing VIMS;
Fig. 4 is experimentation and flow chart of data processing figure;
Fig. 5 is the trajectory diagram of CoP point under the different gestures of experiment front and back.
Specific embodiment
A specific embodiment of the invention is described with reference to the accompanying drawing, preferably so as to those skilled in the art
Understand the present invention.Requiring particular attention is that in the following description, when known function and the detailed description of design perhaps
When can desalinate main contents of the invention, these descriptions will be ignored herein.
Embodiment
Fig. 1 is the test device figure of balance plate Wii Balance board.
In the present embodiment, as shown in Figure 1, Wii Balance Board (WBB) measurement balance on have it is outstanding
Performance and stable reliability, WBB have below its firm balance plate by bluetooth connection computer, sample frequency 30HZ
Four pressure sensors are located at quadrangle.
When test, the coordinate position of CoP can be calculated by 4 pressure sensors.As shown in Figure 1, it is assumed that 4 pressures
The stress of force snesor is expressed as fTL,fTR,fBLAnd fBL, (unit: kg);The size of balance plate is W × H (cm), in this reality
It applies in example, takes H=22.8cm, W=43.3cm.Therefore, the coordinate of CoP (x, y) can be calculate by the following formula:
In general, within a specified time smaller CoP swing means better balanced capacity.It is preferably repeatable in order to have
Property, in all tests, we use same equipment.
In the present embodiment, five young healthy experimenters is selected to participate in balance test.Inclusion criteria should be according to following original
Then: without any mental disease, mental disease, pregnant person, psychiatric history, great lower limb pathology, long-term drug therapy or history of drug abuse or
The Healthy People of the disease of any influence standing balance such as obesity.Last test person prepares when upper balance plate, quiet
The standing suitable time (generally 30-40 seconds) ensure that his center of gravity is maintained at a metastable level.
Secondly, in the present embodiment, six kinds of different postures are chosen in balancing a survey: both legs eye opening is stood (OB) and both legs close
Standing (CL) that eye, which is stood (CB), the eye opening of left leg is stood (OL) and right leg is opened eyes stands (OR), left leg is closed one's eyes and right leg close one's eyes and stand
(CR).It is required that tester's both hands during six are tested posture are vertically placed on the two sides of body.When participant carries out both legs test
Both feet are simultaneously placed on the foot areas above balance plate by Shi Yaoqiu slippers, and what their both hands loosened is placed on the two sides of body, branch
The leg of support wants straight and upright dduring test.The pin pitch lifted when standing with one foot to the knee is lifted dduring test from balance plate about 10cm
There cannot be contact during the foot and manufactured leg that rise.
The present invention is based on the balance detection methods of Wii Balance board to be described in detail below, including following
Step:
(1), balancing information is obtained by balance board measurement
The balance under 6 kinds of states is measured using Wii Balance board to tester, and passes through matlab journey
Sequence records the Center of Pressure point (center of pressure, CoP) and timestamp of human body under every kind of state, and record is written
File;
(2), calculated equilibrium index
From CoP point all in 1min under the first state (both legs, which are opened eyes, stands) is chosen in record file, in this implementation
In example, the sample frequency 30HZ of WBB, therefore 1800 CoP points can be chosen, then calculate the balanced index under the state;
(2.1) main domain area domain_area
Main domain area is for CoP situation of movement, and one proposed to exclude the biased error of outlier measures
The index of balance is specific to calculate are as follows:
It asks all CoP points in x, the coordinate mean value of y-axis, obtains virtual center point, then ask each CoP point to virtual center
The distance value of point;
All distance values are sorted from small to large and are stored in array data [], with k-th of distance value after sequence
For radius quadrature of a circle, main domain area domain_area is obtained;
Sorted_data []=sort (data [])
Domain_area=π × (sorted_data [λ × num])2
Wherein, sort () is ranking functions, and λ is parameter factors, value 0.8~1.0, and it is 0.9, num that λ is taken in the present embodiment
It is the total amount of data of distance value;K=λ × num;
In the present embodiment, k-th of distance value generally chooses the value between the 80%~100% of all distance values, at this
In embodiment, the value at 90% is chosen;
(2.2) CoP standard deviation stdCoP
CoP standard deviation is to characterize the index of CoP discrete case, which also reacts the good of balanced capacity to a certain extent
It is bad.Calculation method: all CoP points are calculated in x, the standard deviation std of y-axis componentCoP_x、stdCoP_y, then calculate all CoP points
CoP standard deviation stdCoP;
Wherein, n=1800 indicates CoP point number, xi,yiThe coordinate value of i-th of CoP point is respectively indicated,Indicate empty
The coordinate value of quasi- central point;
(2.3) CoP speed standard is poor
CoP speed standard difference is to measure an index of CoP rate variation speed, and rate variation illustrates balanced capacity fastlyer
It is weaker.Calculation method: the rate vel of adjacent C oP point is soughti;
Wherein, dis () is to ask two o'clock distance function, timeiIt is i-th of timestamp, veliIt is i-th of rate value;It calculates
CoP speed standard difference vel_std:
Wherein,It is the average value of the rate of all adjacent C oP points;
(2.4), the average path CoP rate vel_mean
Again divided by the time after the sum of the distance for asking its sequence adjacent all CoP points
(2.5), average absolute CoP waves distance sway_dis_mean
To all CoP points and mean valueThe distance summation of point (virtual center point) is averaged again;
Wherein,Indicate virtual center point;
(3) overall balance index balance_index
Wherein, rjFor the relative coefficient of each index and vision cinetosis, indexjFor corresponding balanced index;Wherein,
rjMeet:
Wherein, XkChange statistic, Y for the balance index of sample kkFor the cinetosis grade change statistics amount of sample k,It is the average value of respective statistic;M is the sample total under subject's difference measuring state;
In the present embodiment, 5 subjects are chosen, each subject chooses 2 states, then m=10;
(4), according to step (2) and step (3) the method, the overall balance calculated under remaining state of tester refers to
Mark, the balance of tester is judged further according to the overall balance index under each state.
Experimental verification
As shown in Fig. 2, establishing the dynamic driving simulator based on virtual reality, it is the driver's cabin moved by one
With 180 ° of the projection screen composition based on VR scene, it can stimulate vision and vestibular nervous system to generate VIMS.For VIMS
Assessment devises the experimental program of a three-stage, as shown in Figure 3.
First part is initial part, and subject keeps a quiet state to stand on balance plate, eyes-open state note
1min is recorded, closed-eye state records 1min, the balance situation of record subject in normal state.
Second part is the generation part of VIMS, and what this part drove is a long section bending section, this be easy to cause by
The motion sickness of examination person.The cinetosis grade of subject can be promoted gradually during driving.
Part III is just to stop driving when subject does not feel well, and is balanced measurement to subject after stopping,
Subject still keeps a quiet standing state on balance plate, records eye opening standing state and eye closing standing state each one
Minute.
The cinetosis grade of subject also carries out being recorded accordingly through subjective questionnaire in the whole process, and cinetosis grade is divided into
Pyatyi: normal (0 grade), faint (1 grade), strong (3 grades), can not endure (4 grades) at general (2 grades).Integral experiment process and data
Process flow diagram is as shown in Figure 4.
Experiment measures five subjects, we go out the trajectory diagram of CoP by the CoP digital simulation collected, so as to
More it is clear that the situation of change at human pressure center.It is the track CoP before and after first subject shown in Fig. 5
Figure, Fig. 5-a are measurement trajectory diagrams of opening eyes before driving, and Fig. 5-b is measurement trajectory diagram of closing one's eyes before driving, and Fig. 5-c is driving
It opens eyes afterwards and measures trajectory diagram, Fig. 5-d is measurement trajectory diagram of closing one's eyes after driving.The case where other subjects, is similar therewith, passes through
Observation CoP trajectory diagram we can obviously find that the CoP footprint after experiment is compared with there is apparent increase before experiment.Therefore I
What is certain is that experiment physiological effect is produced to subject really, to reduce its balanced capacity.
Illustrate the variation size of balanced capacity, we can by calculate we balanced index then and
The subjective questionnaire of subject, which combines, to be described the problem, and table 1 illustrates the equilibrium data change conditions of five indexs.It can by table 1
To find out that the cinetosis degree of experiment front and back subject has notable difference, and with the increase of cinetosis grade, every balance index
General to tend to increase, the degree of increase can vary with each individual;Certainly all index variations are not necessarily all consistent, because
As Domain_area, averagely wave distance and CoP standard deviation is considered from the mobility scale level of CoP, and the path CoP
Rate and CoP speed standard difference are considered from the speed level of CoP.The variation of total balance of the body is also from the two sides
Come what is shown, everyone variation emphasis is different in face.When general cinetosis, the Center of Pressure of groups of people may remain in a phase
To stable range, but its CoP rate will appear biggish fluctuation.No. 001 subject is exactly that cinetosis grade larger change occurs
When change, but only there is faint variation in several indexs of wide level, and CoP speed standard difference varies widely;And it is more
Subject generally change two levels in CoP range and CoP rate and change.In addition, it was noted that the cinetosis of closed-eye state
Rank is lower than eyes-open state, that is being surveyed because experiment is the eyes-open state followed by closed-eye state of first test subject
The cinetosis situation of subject is alleviated when measuring closed-eye state.
Table 1 is the five big balanced index change conditions of subject
Table 1
In order to the more clear variation size cases for intuitively illustrating each subject front and back index, we are right
Index variation compares before and after every group of experiment, and the results are shown in Table 2.Data are known from table, the index number when cinetosis occurs
Become larger according to overall.Cinetosis grade is that ability to bear obtained by way of questionnaire survey and everyone cinetosis sense is different, because
This is not we have seen that variable quantity and the cinetosis grade of index are so consistent.As No. 001 OA-OB state and 002 CA-
Shown in CB state, although the result that the index of the two changes similar respective cinetosis is completely different.Therefore in this experiment
The direct corresponding relationship between objective indicator data and subjective feeling can not be accurately considered, this experiment is simply by subjectivity etc.
Grade can measure the change conditions of balance to confirm our objective indicator data really.For clear five indexs instruction knot
The importance of fruit does correlation analysis to five indexs and cinetosis result.The result shows that Domain_area is manifested with cinetosis grade
Work property is positively correlated (r=0.813**, significance 0.01), CoP standard deviation and cinetosis grade are in gentle positive correlation (r=
0.562), correlation coefficient r=0.483, CoP path rate of CoP speed standard difference and cinetosis grade is related to cinetosis grade
Coefficient r=0.402 averagely waves distance with correlation coefficient r=0.365 of cinetosis grade (generally when correlation coefficient r is in 0.33
When to 0.7, it is believed that be gentle positive correlation).Therefore according to correlation size to the sequence of the significance level of balanced index according to
It is secondary are as follows: main domain area (domain_area), CoP standard deviation, CoP speed standard be poor, the path CoP rate, averagely wave away from
From.In addition, a total balance Weighted Guidelines balance_index can be calculated according to the correlation size of each index, pass through
It observes balance change conditions, further judges the balance of tester.
Table 2 is the five big balance index experiment front and back data of subject;
Table 2
Although the illustrative specific embodiment of the present invention is described above, in order to the technology of the art
Personnel understand the present invention, it should be apparent that the present invention is not limited to the range of specific embodiment, to the common skill of the art
For art personnel, if various change the attached claims limit and determine the spirit and scope of the present invention in, these
Variation is it will be apparent that all utilize the innovation and creation of present inventive concept in the column of protection.
Claims (4)
1. a kind of balance detection method based on Wii Balance board, which comprises the following steps:
(1), balancing information is obtained by balance board measurement
To tester using the balance under Wii Balance board measurement different conditions, and pass through matlab program
The Center of Pressure point CoP and timestamp of human body are recorded, and record file is written;
(2), calculated equilibrium index
CoP point all in 1min under a certain state is chosen from record file, then calculates the balanced index under the state;
(2.1) main domain area domain_area
It asks all CoP points in x, the coordinate mean value of y-axis, obtains virtual center point, then each CoP point is asked to arrive virtual center point
Distance value;
All distance values are sorted from small to large and are stored in array sorted_data [], with k-th of distance after sequence
Value is radius quadrature of a circle, obtains main domain area domain_area;
Sorted_data []=sort (data [])
Domain_area=π × (sorted_data [λ × num])2
Wherein, num is the total amount of data of distance value, and sorted () is ranking functions, and λ is parameter factors;
(2.2) CoP standard deviation stdCoP
All CoP points are calculated in x, the standard deviation std of y-axis componentCoP_x、stdCoP_y, then calculate the CoP standard deviation of all CoP points
stdCoP;
Wherein, n indicates CoP point number, xi,yiThe coordinate value of i-th of CoP point is respectively indicated,Indicate virtual center point
Coordinate value;
(2.3) CoP speed standard is poor
Seek the rate vel of adjacent C oP pointi;
Wherein, dis () is to ask two o'clock distance function, timeiIt is i-th of timestamp, veliIt is i-th of rate value;
Calculate CoP speed standard difference vel_std:
Wherein,It is the average value of the rate of all adjacent C oP points;
(2.4), the average path CoP rate vel_mean
(2.5), average absolute CoP waves distance sway_dis_mean
Wherein,Indicate virtual center point;
(3) overall balance index balance_index
Wherein, rjFor the relative coefficient of each index and vision cinetosis, indexjFor corresponding balanced index;
(4), according to step (2) and step (3) the method, the overall balance index under remaining state of tester is calculated,
The balance of tester is judged further according to the overall balance index under each state.
2. the balance detection method according to claim 1 based on Wii Balance board, which is characterized in that institute
The r statedjMeet:
Wherein, XkChange statistic, Y for the balance index of sample kkFor the cinetosis grade change statistics amount of sample k,It is
The average value of respective statistic;M is the sample total under subject's difference measuring state.
3. the balance detection method according to claim 1 based on Wii Balance board, which is characterized in that institute
The Wii Balance board stated passes through bluetooth connection computer, sample frequency 30HZ.
4. the balance detection method according to claim 1 based on Wii Balance board, which is characterized in that institute
It states the four corners of Wii Balance board there are four pressure sensors and pass through the value meter of 4 pressure sensors in test
Calculate the coordinate position of CoP;It is specific to calculate are as follows:
If the stress of 4 pressure sensors is respectively fTL,fTR,fBLAnd fBL, unit: kg;The length and width of Wii Balance board
It is H × W (cm), then the coordinate of CoP (x, y) are as follows:
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610840259.6A CN106388830B (en) | 2016-09-22 | 2016-09-22 | Balance detection method based on Wii Balance board |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610840259.6A CN106388830B (en) | 2016-09-22 | 2016-09-22 | Balance detection method based on Wii Balance board |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106388830A CN106388830A (en) | 2017-02-15 |
CN106388830B true CN106388830B (en) | 2019-05-28 |
Family
ID=57997318
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610840259.6A Expired - Fee Related CN106388830B (en) | 2016-09-22 | 2016-09-22 | Balance detection method based on Wii Balance board |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106388830B (en) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108309236B (en) * | 2018-01-15 | 2021-08-27 | 新绎健康科技有限公司 | Human body balance evaluation method and system |
CN109528201A (en) * | 2018-10-30 | 2019-03-29 | 天津科技大学 | A kind of balanced capacity detection method |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN201248696Y (en) * | 2008-06-24 | 2009-06-03 | 王培勇 | Body balance detecting instrument |
WO2014158698A1 (en) * | 2013-03-29 | 2014-10-02 | San Diego State University Research Foundation | Apparatus and method for detecting clinically relevant changes in balance |
JP2014204759A (en) * | 2013-04-10 | 2014-10-30 | 国立大学法人広島大学 | Standing posture balance evaluating/training system |
CN104346518A (en) * | 2014-04-29 | 2015-02-11 | 奥美之路(北京)技术顾问有限公司 | Chinese population static balance capability assessment model |
-
2016
- 2016-09-22 CN CN201610840259.6A patent/CN106388830B/en not_active Expired - Fee Related
Also Published As
Publication number | Publication date |
---|---|
CN106388830A (en) | 2017-02-15 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108665956A (en) | The integrated estimation system and method for physical efficiency and muscle performance | |
Mathews et al. | Prevalence of overweight and obesity in collegiate American football players, by position | |
Ujevic et al. | Differences between health-related physical fitness profiles of Croatian children in urban and rural areas | |
CN104083174A (en) | Exercise ability evaluation model | |
Galan et al. | Impact of football clubs on the recreational activities of preschoolers | |
CN109528201A (en) | A kind of balanced capacity detection method | |
CN113744884A (en) | Student health data early warning and intervention method and system | |
Thiel et al. | Accelerometer based performance assessment of basic routines in classical ballet | |
Mattacola et al. | Intertester reliability of assessing postural sway using the Chattecx Balance System | |
Bonnechère et al. | Suitability of functional evaluation embedded in serious game rehabilitation exercises to assess motor development across lifespan | |
CN106388830B (en) | Balance detection method based on Wii Balance board | |
Garnacho-Castaño et al. | Reliability and validity of the polar V800 sports watch for estimating vertical jump height | |
O’Keeffe et al. | Test–retest reliability of student-administered health-related fitness tests in school settings | |
Bańkosz | The kinesthetic differentiation ability of table tennis players | |
Di Libero et al. | Assessment of coordinative abilities through upper extremity wearable device technology | |
Rodrigues | Sports vision: influence on athlete’s performance | |
Kawasaki et al. | Relationship between mental rotation of body parts and postural stability during quiet stance | |
Milde et al. | Physical fitness of schoolgirls with Turner syndrome | |
Pooranawatthanakul et al. | Comparisons of the validity and reliability of two smartphone placements for balance assessment using an accelerometer-based application | |
Wang et al. | Evaluation of effects of balance training from using wobble board-based exergaming system by MSE and MMSE techniques | |
Caña-Pino et al. | A novel determination of energy expenditure efficiency during a balance task using accelerometers. A pilot study | |
Rodriguez et al. | Wearable sensors for measuring movement in short sessions of mindfulness sitting meditation: a pilot study | |
Sterkowicz et al. | IMPORTANCE OF COORDINATION MOTOR ABILITIES IN EXPERT-LEVEL ON-SIGHT SPORT CLIMBING. | |
RU2819353C1 (en) | Method for psycho-functional state control during rhythmic gymnastics | |
Marques et al. | EUFITMOS fitness testing protocol |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20190528 Termination date: 20190922 |