CN104056445B - Human motion analytical method based on heart rate and acceleration sensor and device based on method - Google Patents
Human motion analytical method based on heart rate and acceleration sensor and device based on method Download PDFInfo
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Abstract
The invention relates to a human motion analytical method based on heart rate and an acceleration sensor and a device based on the method, which can detect the motion state of unobvious limb motions of weightlifting, strength training, yoga and the like. The human motion analytical method based on the heart rate and the acceleration sensor comprises the step that the motion state S is obtained by a triaxial accelerometer and a heart rate sensor. The data of the triaxial accelerometer and the data of the heart rate sensor are combined, cross comparison is carried out, various aerobic exercises and anaerobic exercises and sleep are effectively detected, results are more accurate, the condition that a product mistakenly prompts entering the motion state because of washing hands, folding up a quilt and other operation is effectively prevented, particularly when the product is used for judging the motion that the limbs do not move, such as the strength training, the yoga and the weightlifting, the condition is avoided, and the feedback used for stimulating a user to keep the state is provided.
Description
Technical field
The present invention relates to a kind of human motion analysis method based on heart rate and acceleration transducer and its device, Neng Goujian
Measure the unconspicuous motion state of the limb actions such as weight lifting, strength building, Yoga.
Background technology
Existing technological means is mainly judged by the change of three axle acceleration of gravity instruments, if be in motion shape
State, is like this easier erroneous judgement, and such as, limbs significantly move suddenly, but is not to be kept in motion.With
And the motion that some limbs do not move, such as strength building, Yoga, weight lifting etc. cannot be judged.
Chinese Patent Application No.: 201310574984.x, discloses " a kind of motion state monitoring and feedback device and its side
The monitoring of this motion state of method " and feedback device are it is characterised in that include: 3-axis acceleration instrument, when moving for Real-time Collection
The accekeration in three directions；Processor, monitors whether to enter motion state by calculating data and judgement time；Feedback dress
Put, by this feedback of status to user after entering motion state；Power module, for being powered to whole device.By this
Product can effectively prevent, and because the operation such as wash one's hands, fold up a quit, waving leads to product, prompting enters motion state by mistake, simultaneous with
Excitation user keeps the feedback of this state.During actually used, the said goods are single for the judging means of motion state,
Only judgement is carried out by 3-axis acceleration instrument and still suffer from erroneous judgement, accordingly, it would be desirable to improve for technique scheme, introduce
New determination methods, improve the degree of accuracy that motion state judges further.
Content of the invention
The purpose of the present invention is the problems referred to above overcoming in the presence of prior art, and provides one kind can accurately judge to make
User's motion state, and this motion state is fed back to user, excitation user keep based on heart rate and acceleration transducer
Human motion analysis method.
The present invention solves above-mentioned technical problem and be the technical scheme is that this people based on heart rate and acceleration transducer
Body movement analysis method is it is characterised in that step is as follows:
Step 1) determines whether motion state s1 by 3-axis acceleration instrument, comprising:
First, three direction x, the acceleration of y, z are obtained by 3-axis acceleration instrument, and integrated value is calculated by processor
The computing formula of amp, amp is as follows:
Formula 1
Wherein, x is horizontal acceleration, and y is perpendicular to the longitudinal acceleration of x, and z is perpendicular to the vertical acceleration of x and y
Degree；Then, according to t1To t2Time period t in the formula of area under the curve e that formed with the time by processor calculating amp as follows:
Formula 2
Then, calculated using above-mentioned formula, when judging that current point in time starts the area e of back t minute by processor
During more than e；Judge in 10 seconds, whether user is in persistent movement state simultaneously, if user has continuously moved 10 seconds, mistake proofing machine
System is changed on；Wherein, e enters, for user, the minimum energy corresponding accelerating curve area consuming required for aerobic exercise；
Finally, after meeting above-mentioned condition at the same time, if two above condition is all set up, i.e. motion state s1=true,
Otherwise s1=false.
Step 2) motion state s2 is determined whether by heart rate sensor, comprising:
First, judge user in t by 3-axis acceleration instrumentiMoment is in rest state, and heart rate sensor gathers heart rate
Valuehr (quiet, t) , collection a period of time in a state in which heart rate, obtain the HRrest of this userhr quiet :
Formula 3
Then, calculate in t1To t2Time period t in real-time heart rate h it is assumed that middle collection per second heart rate be hi, then:
Formula 4
Then, calculate the minimum movement heart rate h of t period user by formula, the age of user is age:
Formula 5
Finally, as h > h when, motion state s2 be true, otherwise s2 be false.
Step 3) is last, obtains motion state s:
Formula 6
S then notifies bracelet starter motor and outside display reminding user to enter motion state for true, does not otherwise just point out.
Preferably, when described e enters, for user, minimum energy 16-19kj that a minute required for aerobic exercise consumes
Corresponding accelerating curve area.
A kind of based on claim 1,2 analysis methods data processing capturing and recognition device it is characterised in that: inclusion process
Device, heart rate sensor, 3-axis acceleration instrument, output feedback device and peripheral circuit, described heart rate sensor, 3-axis acceleration
Instrument, output feedback device and peripheral circuit are electrically connected with processor.
Preferably, also including radio transmitting device.
Preferably, described radio transmitting device is bluetooth or nfc communication module.
Preferably, described output feedback device is one or more of LED lamp, motor, display, oscillator.
The invention has the beneficial effects as follows: present patent application combines three axle Gravity accelerometers and heart rate sensor
Data, carries out intersecting comparing, can effectively detect various aerobic exercises and anaerobic exercise, and sleep, and result is more accurate,
Can effectively prevent from, because the operation such as wash one's hands, fold up a quit, waving leads to product prompting entrance motion state by mistake, particularly judging one
The motion that a little limbs do not move, such as strength building, Yoga, weight lifting etc., keep the anti-of this state simultaneous with excitation user
Feedback.
Brief description
Fig. 1 is the logic chart of the embodiment of the present invention one.
Fig. 2 is the structural representation of the embodiment of the present invention two.
Label declaration: wearable device 1, processor 2, heart rate sensor 3,3-axis acceleration instrument 4, output feedback device 5,
Peripheral circuit 6, radio transmitting device 7, data acquisition equipment 8, Cloud Server 9.
Specific embodiment
The invention will be further described with reference to the accompanying drawings and examples.
Embodiment one: referring to Fig. 1, be somebody's turn to do the human motion analysis method based on heart rate and acceleration transducer, step is as follows:
Step 1) determines whether motion state s1 by 3-axis acceleration instrument 4, comprising:
First, three direction x, the acceleration of y, z are obtained by 3-axis acceleration instrument 4, and synthesis is calculated by processor 2
Value amp, the computing formula of amp is as follows:
Formula 1
Wherein, x is horizontal acceleration, and y is perpendicular to the longitudinal acceleration of x, and z is perpendicular to the vertical acceleration of x and y
Degree.Then, according to t1To t2Time period t in the area under the curve e that amp and time are formed is calculated by processor 2 formula such as
Under:
Formula 2
Then, calculated using above-mentioned formula, when judging that current point in time starts the area e of back t minute by processor 2
During more than e；Judge in 10 seconds, whether user is in persistent movement state simultaneously, if user has continuously moved 10 seconds, mistake proofing machine
System is changed on；Wherein, e enters, for user, the minimum energy corresponding accelerating curve area consuming required for aerobic exercise.
Finally, after meeting above-mentioned condition at the same time, if two above condition is all set up, i.e. motion state s1=true,
Otherwise s1=false.
Step 2) motion state s2 is determined whether by heart rate sensor 3, comprising:
First, judge user in t by 3-axis acceleration instrument 4iMoment is in rest state, and heart rate sensor 3 gathers the heart
Rate valuehr (quiet, t) , collection a period of time in a state in which heart rate, obtain the HRrest of this userhr quiet :
Formula 3
Then, calculate in t1To t2Time period t in real-time heart rate h it is assumed that middle collection per second heart rate be hi, then:
Formula 4
Then, calculate the minimum movement heart rate h of t period user by formula, the age of user is age:
Formula 5
Finally, as h > h when, motion state s2 be true, otherwise s2 be false.
Step 3) is last, obtains motion state s:
Formula 6
S then notifies bracelet starter motor and outside display reminding user to enter motion state for true, does not otherwise just point out.
E in the present embodiment for user enter aerobic exercise required for one minute consume minimum energy 16-19kj when pair
The accelerating curve area answered, the big I of e numerical value needs to carry out the adjustment of certain limit and meets difference according to practical application
The demand of crowd, this numerical value is empirical value, and preferred value is 17kj.Additionally, in 10 seconds mistake proofing mechanism in the present embodiment
Using motion state detection means be prior art, can be processed by 3-axis acceleration instrument and judge, or other technological means, such as
Continuous meter step algorithm that pedometer is commonly used etc..
Embodiment two: at a kind of data based on the human motion analysis method of embodiment one heart rate and acceleration transducer
Reason capturing and recognition device, the data processing capturing and recognition device in the present embodiment is a wearable device 1 such as smart motion
Bracelet, including processor 2, heart rate sensor 3,3-axis acceleration instrument 4, output feedback device 5 and peripheral circuit 6, sensing heart rate
Device 3,3-axis acceleration instrument 4, output feedback device 5 and peripheral circuit 6 are electrically connected with processor 2 respectively, and processor 2 is mainly used in
Complete data operation, output feedback device 5 is LED lamp, motor, display etc..Equipment wirelessly transmitting data for convenience, this product
Product are additionally provided with radio transmitting device 7, and the radio transmitting device 7 in the present embodiment is bluetooth or nfc communication module, heart rate used
Sensor 3 can be the sensor of photoelectricity aroused in interest or photoelectricity transmission-type.
This device passes through output feedback device 5 and feeds back to user movement state, and is believed data by radio transmitting device 7
Breath is sent to the data acquisition equipments such as computer, mobile phone, router 8, and data acquisition equipment 8 can be uploaded to Cloud Server 9.
In conjunction with the concrete case of above-described embodiment one, two, embodiment three:
First has worn the motion-activated equipment that heart rate and three axle acceleration of gravity instrument combine, and equipment passes through three axle gravity and accelerates
Degree instrument detects 10 points to 6 points of first evening, and within 5%, first should remain static the amp amplitude of variation of three axles；With
When detection heart rate at this time, and average, obtain hrquiet=82, the HRrest of therefore first obtains, and passes through
Above-mentioned method, can constantly revise this numerical value following.
In 30 years old this year of first, first is in from 8:01 to 8:05 and is lifted the dumbbell 5 minutes, and detection first is in this t=1 minute of 5 minutes, real
When heart rate h be respectively as follows:
8:01 110
8:02 133
8:03 132
8:04 133
8:05 135
And according to formula 5, during t=1 minute, the minimum movement heart rate of first is (210-82-30) × 0.5+82=131, then s1
Start as true from 8:02.
And lift the dumbbell because amplitude is less, and e is always less than the state of s, and therefore s2 is false, because s1 is true, if
Move for user will be detected in 8:02, and used by the prompting of the external device (ED) such as LED lamp, motor, display, oscillator
Family.
Above content described in this specification is only to present configuration example explanation.Belonging to the present invention
Those skilled in the art can make various modifications or supplement or using similar to described specific embodiment
Mode substitutes, the structure without departing from the present invention or surmount scope defined in the claims, all should belong to this
Bright protection domain.
Claims (6)
1. a kind of human motion analysis method based on heart rate and acceleration transducer is it is characterised in that step is as follows:
Step 1) determines whether motion state s1 by 3-axis acceleration instrument, comprising:
First, three direction x, the acceleration of y, z are obtained by 3-axis acceleration instrument, and integrated value amp are calculated by processor,
The computing formula of amp is as follows:
Wherein, x is horizontal acceleration, and y is perpendicular to the longitudinal acceleration of x, and z is perpendicular to the normal acceleration of x and y；So
Afterwards, according to t1To t2Time period t in the formula of area under the curve e that formed with the time by processor calculating amp as follows:
Then, calculated using above-mentioned formula, when by processor judge current point in time start back t minute area e be more than e
When；Judge in 10 seconds, whether user is in persistent movement state, if user has continuously moved 10 seconds, mistake proofing mechanism is changed into simultaneously
on；Wherein, e enters, for user, the minimum energy corresponding accelerating curve area consuming required for aerobic exercise；
Finally, after meeting above-mentioned condition at the same time, if two above condition is all set up, i.e. motion state s1=true, otherwise
s1=false；
Step 2) motion state s2 is determined whether by heart rate sensor, comprising:
First, judge user in t by 3-axis acceleration instrumentiMoment is in rest state, and heart rate sensor gathers heart rate valuehr (quiet, t) , collection a period of time in a state in which heart rate, obtain the HRrest of this userhr quiet :
Then, calculate in t1To t2Time period t in real-time heart rate h it is assumed that middle collection per second heart rate be hi:
Then, calculate the minimum movement heart rate h of t period user by formula, the age of user is age:
Finally, as h > h when, motion state s2 be true, otherwise s2 be false；
Step 3) is last, obtains motion state s:
S then notifies bracelet to feed back to user's entrance motion state for true, does not otherwise just point out.
2. the human motion analysis method based on heart rate and acceleration transducer according to claim 1 it is characterised in that:
Corresponding accelerating curve when described e enters, for user, minimum energy 16-19kj consuming one minute required for aerobic exercise
Area.
3. a kind of data processing capturing and recognition device based on claim 1 or 2 analysis methods it is characterised in that: inclusion process
Device, heart rate sensor, 3-axis acceleration instrument, output feedback device and peripheral circuit, described heart rate sensor, 3-axis acceleration
Instrument, output feedback device and peripheral circuit are electrically connected with processor.
4. data processing capturing and recognition device according to claim 3 it is characterised in that: also include and be wirelessly transferred dress
Put.
5. data processing capturing and recognition device according to claim 4 it is characterised in that: described radio transmitting device is
Bluetooth or nfc communication module.
6. the data processing capturing and recognition device according to claim 3 or 4 it is characterised in that: described output feedback dress
It is set to one or more of LED lamp, motor, display, oscillator.
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| KR102463383B1 (en) * | 2015-02-27 | 2022-11-04 | 삼성전자주식회사 | Method for measuring bio-signal and wearable electronic device |
| ES2901223T3 (en) * | 2015-05-21 | 2022-03-21 | Bomdic Inc | Resistance control method and device |
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| CN105708440A (en) * | 2016-03-31 | 2016-06-29 | 深圳还是威健康科技有限公司 | Resting heart rate measuring method and terminal |
| CN105879357B (en) * | 2016-04-22 | 2019-07-16 | 广东小天才科技有限公司 | Method and system for assisting in practicing yoga |
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| CN107948439A (en) * | 2017-12-08 | 2018-04-20 | 吴凡 | Interactive approach and application based on smart mobile phone |
| CN108992047A (en) * | 2018-07-18 | 2018-12-14 | 上海斐讯数据通信技术有限公司 | A kind of detection method and terminal of resting heart rate |
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| CN110960222B (en) * | 2019-12-17 | 2022-09-02 | 心核心科技(北京)有限公司 | Motion type detection method and device |
| CN112349381A (en) * | 2020-11-10 | 2021-02-09 | 深圳市爱都科技有限公司 | Calorie calculation method, device, wearable equipment and storage medium |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| JP4754447B2 (en) * | 2006-09-14 | 2011-08-24 | シャープ株式会社 | Biological analysis apparatus and program |
| CN101518442B (en) * | 2008-07-05 | 2011-04-20 | 杭州义盛祥通信技术有限公司 | Sport quantization watch and sport quantitative analysis method |
| EP2263532A1 (en) * | 2009-06-05 | 2010-12-22 | Koninklijke Philips Electronics N.V. | Motion determination apparatus |
| WO2013114596A1 (en) * | 2012-02-01 | 2013-08-08 | 富士通株式会社 | Information processing device, method for generating representative waveform, and program for generating representative waveform |
| US10922383B2 (en) * | 2012-04-13 | 2021-02-16 | Adidas Ag | Athletic activity monitoring methods and systems |
| CN202761270U (en) * | 2012-06-19 | 2013-03-06 | 北京超思电子技术股份有限公司 | Wrist strap type physiological information monitoring device |
| CN103505193B (en) * | 2012-06-19 | 2015-06-10 | 北京超思电子技术股份有限公司 | Wrist strap type physiological information monitoring device |
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