CN109276841A - A kind of rope skipping detection method based on Intelligent bracelet - Google Patents
A kind of rope skipping detection method based on Intelligent bracelet Download PDFInfo
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- CN109276841A CN109276841A CN201810669922.XA CN201810669922A CN109276841A CN 109276841 A CN109276841 A CN 109276841A CN 201810669922 A CN201810669922 A CN 201810669922A CN 109276841 A CN109276841 A CN 109276841A
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- rope skipping
- rope
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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
- A63B5/00—Apparatus for jumping
- A63B5/20—Skipping-ropes or similar devices rotating in a vertical plane
-
- 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
-
- 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
- A63B2220/40—Acceleration
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- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Physical Education & Sports Medicine (AREA)
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The rope skipping detection method based on Intelligent bracelet that the present invention relates to a kind of, comprising steps of tri- axis acceleration sensor of S10. is with the one or three number of axle evidence during fixed sampling frequency acquisition user's rope skipping；A length of detection unit when S20. to fix is stored the two or three number of axle evidence in fixed duration respectively, and is detected respectively to the data characteristics of the two or three number of axle evidence；S30. judge the data characteristics of the two or three number of axle evidence whether within the scope of rope skipping empirical value respectively according to testing result, if, then judge that user's rope skipping starts, record the first relevant information of user's rope skipping, otherwise, repeat step S20, and detect the rope skipping detection method that the two or three number of axle in next fixed duration is used according to the present invention, by the data characteristics for calculating three number of axle evidences of three axis acceleration sensors acquisition, to automatic identification rope skipping mode, and calculation amount very little, so that, testing result is more accurate.
Description
Technical field
The present invention relates to smart motion detection method technical fields, examine more particularly to a kind of rope skipping based on Intelligent bracelet
Survey method.
Background technique
Rope skipping is an effective body-building, and to obesity, hyperlipidemia, hypertension has certain prevention effect,
It is the aerobic metabolism exercise of an exercise endurance, and low to site requirements, is an activity suitable for people of all ages, rope skipping also incorporates
In the Physical Examination examined.The Intelligent bracelet that rope skipping can be monitored automatically on the market at present is less, and CN104998397 is disclosed
A kind of rope skipping monitoring method is determined according to the amplitude of 3-axis acceleration, however amplitude is influenced very greatly by speed speed, and monitoring is not
Accurately, it needs to improve.
Summary of the invention
The present invention is to overcome the shortcomings of to provide a kind of rope skipping detection side based on Intelligent bracelet described in the above-mentioned prior art
Method, to counting user rope skipping number, time, speed, and personal even jump best result.
In order to solve the above technical problems, technical scheme is as follows:
A kind of rope skipping detection method based on Intelligent bracelet, which comprises the steps of:
S10. three axis acceleration sensors are with the one or three number of axle evidence during fixed sampling frequency acquisition user's rope skipping；
A length of detection unit when S20. to fix stores the two or three number of axle evidence in fixed duration respectively, and respectively to the
The data characteristics of two or three number of axle evidences is detected；
S30. judge respectively according to testing result the two or three number of axle evidence data characteristics whether rope skipping empirical value within the scope of,
If so, judging that user's rope skipping starts, otherwise the first relevant information of record user's rope skipping repeats step S20, and examine
Survey the two or three number of axle evidence in next fixed duration.
Further, further include step S40 as optimal technical scheme: after user's rope skipping starts, repeating step S20, and
Calculate the two or three number of axle evidence during user's rope skipping；When the peak of a number of axle evidence of the two or three number of axle in is away from greater than fixed duration
When, then it updates user and even jumps best result, otherwise marking wave peak number and accumulative rope skipping number；When in continuous two fixed durations
When the data characteristics of two or three number of axle evidence is more than preset certain proportion not within the scope of empirical value of skipping rope or with rope skipping empirical value,
Then judging that user skips rope terminates and exports the second relevant information of user's rope skipping.
Further, as optimal technical scheme, the determination of the rope skipping empirical value include: acquire respectively it is a certain number of
Young boys and girls and middle aged men and women everyone with it is fast, in, slow three kinds of speed continuously skip rope the three or three number of axle evidence of certain number, count respectively
The data characteristics of every group of the three or three number of axle evidence is calculated, and uses Gauss Distribution Fitting, is taken within twice of standard deviation of the Gaussian Profile
Part be its empirical value.
Further, as optimal technical scheme, the data characteristics includes all wave crest numbers and trough number of detection, meter
Difference in magnitude, middle line, the height of all wave crests, the mean value of the height of all wave crests and the variance of the adjacent wave crest and trough calculated,
The height of all troughs, the mean value of the height of all troughs and variance, the mean value of the difference in magnitude of adjacent wave crest and trough and side
The peak of poor, adjacent two wave crest away from and peak away from mean value and variance.
Further, as optimal technical scheme, first relevant information includes user's rope skipping time started and consolidates
Wave crest number in timing is long.
Further, as optimal technical scheme, second relevant information includes the number of accumulative user's rope skipping, connects
Jump best result, rope skipping speed and rope skipping end time.
Further, as optimal technical scheme, the two or three number of axle evidence is all one or three number of axle in fixed duration
According to set.
Further, as optimal technical scheme, the setting range of the fixed duration is 1.5S-3S.
Further, as optimal technical scheme, the number range difference of the young boys and girls of acquisition and middle aged men and women
For 10-30 people；The young boys and girls of acquisition and middle aged men and women everyone with it is fast, in, the number model continuously skipped rope of slow three kinds of speed
Enclose is 30-70 times.
Further, as optimal technical scheme, a certain proportion of range is 30%-80%.
Compared with prior art, the beneficial effect of technical solution of the present invention is: the rope skipping detection method that the present invention uses, and leads to
The data characteristics for calculating three number of axle evidences of three axis acceleration sensors acquisition is crossed, the mode so that automatic identification is skipped rope, and calculation amount is very
It is small, so that, testing result is more accurate.
Detailed description of the invention
Fig. 1 is detection method flow chart of steps of the invention.
Fig. 2 is the distribution map of three number of axle evidences of the invention.
Fig. 3 is Gaussian Profile schematic diagram of the invention.
The attached figures are only used for illustrative purposes and cannot be understood as limitating the patent；In order to better illustrate this embodiment, attached
Scheme certain components to have omission, zoom in or out, does not represent the size of actual product；To those skilled in the art,
The omitting of some known structures and their instructions in the attached drawings are understandable；The same or similar label corresponds to same or similar
Component；The terms describing the positional relationship in the drawings are only for illustration, should not be understood as the limitation to this patent.
Specific embodiment
The preferred embodiments of the present invention will be described in detail with reference to the accompanying drawing, so that advantages and features of the invention are more
It is easily readily appreciated by one skilled in the art, to make apparent define to protection scope of the present invention.
Embodiment 1
A kind of rope skipping detection method based on Intelligent bracelet, the Intelligent bracelet based on 3-axis acceleration sensor carry out counting user
Rope skipping number, time, speed, and personal even jump best result, the 3-axis acceleration sensor direction built in the Intelligent bracelet are solid
Fixed, x-axis is directed toward on the outside of wrist, and y-axis is directed toward volar direction, and z-axis is directed toward bracelet screen.
Rope skipping detection method, includes the following steps: as shown in Figure 1:
S10. the one or three number of axle evidence (x, y, z) during three axis acceleration sensors are skipped rope with fixed sampling frequency acquisition user,
One or three number of axle is as shown in Figure 2 according to the distribution map of (x, y, z)；
S20. to fix duration T1 as a detection unit, store respectively the two or three number of axle in fixed duration T1 according to (X, Y,
Z), and respectively the two or three number of axle is detected according to the data characteristics of (X, Y, Z)；
In this step, the setting range of fixed duration T1 is 1.5S-3S, preferred T1=2S；Two or three number of axle is according to (X, Y, Z)
Set for all one or the three number of axle evidence (x, y, z) acquired in fixed duration T1；Data characteristics includes all wave crests of detection
Several and trough number, difference in magnitude, middle line, the height of all wave crests, the height of all wave crests of the adjacent wave crest and trough of calculating
Mean value and variance, the height of all troughs, the mean value of the height of all troughs and variance, the amplitude of adjacent wave crest and trough
Difference mean value and variance, adjacent two wave crest peak away from and peak away from mean value and variance.
Wherein, the detection of wave crest number: all crest locations in fixed duration T1 are detected, array arr_P, the array are generated
Arr_P is the height of all wave crests simultaneously；
The detection of trough number: all wave trough positions in fixed duration are detected, array arr_V is generated, array arr_V is simultaneously
The height of all troughs；
The calculating of the difference in magnitude of adjacent wave crest and trough: generating array arr_A,
That is: arr_A=X (arr_P)-X (arr_V)；
The calculating of middle line: the middle line is the difference of the wave crest mean value and trough mean value in fixed duration,
That is: base=mean (X (arr_P))-mean (X (arr_V))；
The calculating of the mean value and variance of the height of all wave crests:
That is: avg_ps=mean (X (arr_P)), std_ps=std (X (arr_P)))；
The calculating of the mean value and variance of the height of all troughs:
That is: avg_vly=mean (X (arr_V)), std_vly=std (X (arr_V)))；
The calculating of the mean value and variance of the difference in magnitude of adjacent wave crest and trough:
That is: avg_height=mean (X (arr_A)), std_height=std (X (arr_A)))；
The peak of adjacent two wave crest away from calculating: generate array dis_ps；
Peak away from mean value and variance calculating:
That is: avg_dis_ps=mean (X (dis_ps)), std_dis_ps=std (X (dis_ps)))；
Wherein, base indicates middle line, and avg_ps and std_ps indicate the mean value and variance of the height of all wave crests, avg_vly and
Std_vly indicates the mean value and variance of the height of all troughs, avg_height and std_height indicate adjacent wave crest and
The mean value and variance of the difference in magnitude of trough, avg_dis_ps and std_dis_ps indicate peak away from mean value and variance.
S30. judge whether the two or three number of axle passes through in rope skipping according to the data characteristics of (X, Y, Z) respectively according to testing result
It tests within the scope of value, if so, judging that user's rope skipping starts, otherwise the first relevant information of record user's rope skipping repeats step
Rapid S20, and the two or three number of axle in next fixed duration T1 is detected according to (X, Y, Z).
In this step, the determination of empirical value of skipping rope includes: to acquire a certain number of young boys and girls and middle aged men and women respectively
Everyone with it is fast, in, slow three kinds of speed continuously skip rope certain number the three or three number of axle according to (X, Y, Z), calculate separately every group of third
The data characteristics of three number of axle evidence (X, Y, Z), and Gauss Distribution Fitting is used, take the portion within twice of standard deviation of the Gaussian Profile
It is divided into its empirical value, the Gaussian Profile schematic diagram is as shown in Figure 3；Wherein, the number model of the young boys and girls of acquisition and middle aged men and women
Enclose respectively 10-30 people, preferably 20 people；The young boys and girls of acquisition and middle aged men and women everyone with it is fast, in, slow three kinds of speed connects
The numbers range of continuous rope skipping is 30-70 times, preferably 50 times.
First relevant information includes the wave crest number that user skips rope in time started and fixed duration T1.
Step S40: after user's rope skipping starts, repeating step S20, and calculates the two or three number of axle evidence during user's rope skipping
(X, Y, Z)；When the two or three number of axle according to the number of axle in (X, Y, Z) according to the peak of X-axis or Y-axis or Z axis away from fixed duration T1 is greater than when,
It then updates user and even jumps best result, otherwise marking wave peak number and accumulative rope skipping number；When in continuous two fixed duration T1
The data characteristics of two or three number of axle evidence (X, Y, Z) is more than preset certain not within the scope of rope skipping empirical value or with rope skipping empirical value
When ratio, then judging that user skips rope terminates and exports the second relevant information of user's rope skipping.That is, when the two or three number of axle evidence in 4S
When the data characteristics of (X, Y, Z) is more than preset certain proportion not within the scope of empirical value of skipping rope or with rope skipping empirical value, then sentence
Disconnected user skips rope and terminates and export the second relevant information of user's rope skipping, when the two or three number of axle in 4S is according to the data of (X, Y, Z)
When feature is within the scope of empirical value of skipping rope, then judges that user skips rope and continue, and repeat step S20.
Wherein, a certain proportion of range be 30%-80%, preferably 50%；Second relevant information includes that accumulative user jumps
The number of rope even jumps best result, rope skipping speed and rope skipping end time.
The rope skipping detection method that the present invention uses, it is special by calculating the data of three number of axle evidences of three axis acceleration sensors acquisition
Sign, the mode so that automatic identification is skipped rope, and calculation amount very little, so that, testing result is more accurate.
Obviously, the above embodiment of the present invention be only to clearly illustrate example of the present invention, and not be pair
The restriction of embodiments of the present invention.For those of ordinary skill in the art, may be used also on the basis of the above description
To make other variations or changes in different ways.There is no necessity and possibility to exhaust all the enbodiments.It is all this
Made any modifications, equivalent replacements, and improvements etc., should be included in the claims in the present invention within the spirit and principle of invention
Protection scope within.
Claims (10)
1. a kind of rope skipping detection method based on Intelligent bracelet, which comprises the steps of:
S10. three axis acceleration sensors are with the one or three number of axle evidence during fixed sampling frequency acquisition user's rope skipping；
A length of detection unit when S20. to fix stores the two or three number of axle evidence in fixed duration respectively, and respectively to the
The data characteristics of two or three number of axle evidences is detected；
S30. judge respectively according to testing result the two or three number of axle evidence data characteristics whether rope skipping empirical value within the scope of,
If so, judging that user's rope skipping starts, otherwise the first relevant information of record user's rope skipping repeats step S20, and examine
Survey the two or three number of axle evidence in next fixed duration.
2. the rope skipping detection method according to claim 1 based on Intelligent bracelet, which is characterized in that further include step S40:
After user's rope skipping starts, step S20 is repeated, and calculates the two or three number of axle evidence during user's rope skipping；When the two or three number of axle evidence
In a number of axle evidence peak away from fixed duration is greater than when, then update user and even jump best result, otherwise marking wave peak number and accumulative
Rope skipping number；When the two or three number of axle evidence in continuous two fixed durations data characteristics not rope skipping empirical value within the scope of or with
When empirical value of skipping rope is more than preset certain proportion, then judging that user skips rope terminates and exports the second related letter of user's rope skipping
Breath.
3. the rope skipping detection method according to claim 1 or 2 based on Intelligent bracelet, which is characterized in that the rope skipping warp
The determination for testing value include: acquire respectively a certain number of young boys and girls and middle aged men and women everyone with it is fast, in, slow three kinds of speed it is continuous
It skips rope the three or three number of axle evidence of certain number, calculates separately the data characteristics of every group of the three or three number of axle evidence, and use Gaussian Profile
Fitting, taking the part within twice of standard deviation of the Gaussian Profile is its empirical value.
4. the rope skipping detection method according to claim 3 based on Intelligent bracelet, which is characterized in that the data characteristics packet
Include all wave crest numbers and trough number of detection, the difference in magnitude of the adjacent wave crest and trough of calculating, middle line, all wave crests height
It is mean value and variance, the height of all troughs, the mean value of the height of all troughs and the variance of the height of degree, all wave crests, adjacent
Wave crest and trough difference in magnitude mean value and variance, adjacent two wave crest peak away from and peak away from mean value and variance.
5. the rope skipping detection method according to claim 4 based on Intelligent bracelet, which is characterized in that the described first related letter
Breath includes the wave crest number that user skips rope in time started and fixed duration.
6. the rope skipping detection method according to claim 4 based on Intelligent bracelet, which is characterized in that the described second related letter
Breath includes the number of accumulative user's rope skipping, even jumps best result, rope skipping speed and rope skipping end time.
7. the rope skipping detection method according to claim 1 based on Intelligent bracelet, which is characterized in that the two or three number of axle
According to the set for all one or three number of axle evidences in fixed duration.
8. the rope skipping detection method according to claim 2 based on Intelligent bracelet, which is characterized in that the fixed duration
Setting range is 1.5S-3S.
9. the rope skipping detection method according to claim 2 based on Intelligent bracelet, which is characterized in that the young boy of acquisition
The number range of maiden and middle aged men and women are respectively 10-30 people；The young boys and girls of acquisition and middle aged men and women everyone with it is fast,
In, the numbers range continuously skipped rope of slow three kinds of speed be 30-70 times.
10. the rope skipping detection method according to claim 2 based on Intelligent bracelet, which is characterized in that the certain proportion
Range be 30%-80%.
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| CN201810669922.XA CN109276841A (en) | 2018-06-26 | 2018-06-26 | A kind of rope skipping detection method based on Intelligent bracelet |
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| CN201810669922.XA CN109276841A (en) | 2018-06-26 | 2018-06-26 | A kind of rope skipping detection method based on Intelligent bracelet |
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Cited By (4)
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|---|---|---|---|---|
| CN112396001A (en) * | 2020-11-20 | 2021-02-23 | 安徽一视科技有限公司 | Rope skipping number statistical method based on human body posture estimation and TPA (tissue placement model) attention mechanism |
| CN114849215A (en) * | 2022-06-29 | 2022-08-05 | 上海探寻信息技术有限公司 | Rope skipping counting method and device based on intelligent wearable equipment |
| CN115054889A (en) * | 2022-06-09 | 2022-09-16 | 荣耀终端有限公司 | Rope skipping identification method and electronic equipment |
| CN115702993A (en) * | 2021-08-12 | 2023-02-17 | 荣耀终端有限公司 | Rope skipping state detection method and electronic equipment |
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