CN102243248B - Speed detection device and method capable of automatically differentiating walking and running modes - Google Patents
Speed detection device and method capable of automatically differentiating walking and running modes Download PDFInfo
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Abstract
The invention relates to a speed detection device and method capable of automatically differentiating walking and running modes. The device comprises a shell, an acceleration signal collection module, a signal real-time processing module, a data storage module, a liquid crystal display module, a timing module, a computer communication interface, a power supply and a key-press device, wherein speed models are preset in the data storage module. The device can automatically identify the walking mode and the running mode, so that speeds in walking and running modes can be calculated respectively without selecting the walking and running modes manually, only body height, weight, age, sex and other personal information are required to input when the device is used, but stride information is not required to be input. Therefore, by utilizing the device, the operation is simplified, different speed formulae corresponding to the movement modes can be automatically identified by different speed models, the speeds in the walking and running modes can be predicted respectively according to the speed formulae, and the speed prediction accuracy is improved.
Description
Technical field
The present invention relates to human motion measurement and health control, relate in particular to speed detector and the method thereof of a kind of automatic distinguishing walking and running pattern.
Background technology
In modern society, deep change is taking place in Human's production and life style, and hypomotility, absorption energy surplus are ubiquitous social concerns.Body movement is as a pith of human behavior, and is closely bound up with human beings'health.Medical research shows that energetic supersession is unbalance to be the major incentive of Chronic Non-Communicable Diseases such as obesity, hypertension, diabetes, heart disease, cerebral apoplexy, and keeping energy equilibrium is the key of control metabolic disease.
People will carry out comings and goings in daily life, in active procedure, at different crowds, corresponding different amounts of exercise, carry out health control.Human physical exertion especially in planned body building, walks, runs and walk to run walking movement such as alternate and occupy to the pass important position, and walking and running is both very general physical exertions of useful health.The speed of walking movement is monitored in real time and managed, and is the basic premise that instructs body-building by scientific methods, keeps absorption one consumed energy balance.Equally, in athletic training, reach best for making athletic training effect, also need its speed is measured.
Summary of the invention
At deficiency of the prior art, the invention provides speed detector and the method thereof of a kind of automatic distinguishing walking and running pattern.
The technical scheme of product of the present invention is: comprise this crust of the device, the acceleration signal acquisition module, the signal real-time processing module, data memory module, LCD MODULE, timing module, Computer Communications Interface, power supply and key device, described power supply is communicated with acceleration signal acquisition module and signal real-time processing module, the acceleration signal acquisition module, data memory module, Computer Communications Interface is communicated with the signal real-time processing module respectively, the signal real-time processing module is communicated to LCD MODULE, described key device is communicated to the signal real-time processing module, preset rate pattern in the described data memory module, it is characterized in that: described acceleration signal acquisition module is made up of 3-axis acceleration sensor and acceleration signal Acquisition Circuit, the accekeration that the 3-axis acceleration sensor of described acceleration signal acquisition module and acceleration signal Acquisition Circuit can produce from the human motion that is equipped with device extracts the body gait feature, detect motion step frequency x, acceleration maximal value A
Max, Z-direction acceleration average A
ZAVR, make up rate pattern y, y=(x-145)+m (A according to these three values
Max-a)+n (A
ZAVR-b), wherein a, b are dynamic thresholding, m, n are the regression equation coefficient.
The technical scheme of the inventive method is: comprise the steps:
1) by key device user's personal information such as height, body weight, age, sex are input in this device, this device is provided in human body waist or neck or coat pocket or the satchel;
2) 3-axis acceleration sensor of acceleration signal acquisition module and the acceleration signal Acquisition Circuit accekeration that can produce from the human motion that is equipped with device extracts the body gait feature, detecting motion step x frequently, acceleration maximal value A
Max, Z-direction acceleration average A
ZAVR, make up rate pattern y, y=(x-145)+m (A according to these three values
Max-a)+n (A
ZAVR-b), wherein a, b are dynamic thresholding, m, n are the regression equation coefficient;
3) signal that collects is transferred in the signal real-time processing module, the time window that produces in conjunction with timing module carries out the real-time processing of data, by the signal real-time processing module rate pattern K that presets in the rate pattern y that collects and the data memory module is carried out pattern-recognition, the rate pattern formula that the different motion pattern is corresponding different, if y≤K, then be judged to be walking mode, if y＞K, then be judged to be the running pattern, wherein, K is for setting constant, and two kinds of patterns have corresponding speed formula, can try to achieve speed according to speed formula, can carry out prediction of speed respectively to walking and running pattern;
4) real-time processing module sends to LCD MODULE with the speed numerical value that draws, or speed numerical value is sent to host computer by Computer Communications Interface.
The present invention can identify walking and road-work pattern automatically, draw the speed under walking and the running pattern respectively, do not need manual selection of walking with the pattern of running, and only need import personal information such as height, body weight, age, sex in use, do not need to import stride information, simplified operation, different rate patterns is identified the corresponding different speed formula of motor pattern automatically, can carry out prediction of speed respectively to walking and running pattern according to speed formula, improve the precision of prediction of speed.
Description of drawings
Fig. 1 is the synoptic diagram of each functional entity of apparatus of the present invention.
1 is power supply among the figure, the 2nd, and key device, the 3rd, acceleration signal Acquisition Circuit, the 4th, 3-axis acceleration sensor, the 5th, signal real-time processing module, the 6th, timing module, the 7th, data memory module, the 8th, LCD MODULE, the 9th, Computer Communications Interface.
Fig. 2 is the flow chart of data processing figure of apparatus of the present invention.
Fig. 3 is the external structure synoptic diagram of apparatus of the present invention.
2 is key devices among the figure, the 8th, and LCD MODULE, the 9th, Computer Communications Interface, the 10th, shell.
Embodiment
The speed detector of a kind of automatic distinguishing walking and running pattern, comprise this crust of the device 10, the acceleration signal acquisition module, signal real-time processing module 5, data memory module 7, LCD MODULE 8, timing module 6, Computer Communications Interface 9, power supply 1 and key device 2, described power supply 1 is communicated with acceleration signal acquisition module and signal real-time processing module 5, the acceleration signal acquisition module, data memory module 7, Computer Communications Interface 9 is communicated with signal real-time processing module 5 respectively, signal real-time processing module 5 is communicated to LCD MODULE 8, described key device 2 is communicated to signal real-time processing module 5, preset rate pattern in the described data memory module 7, described acceleration signal acquisition module is made up of 3-axis acceleration sensor 4 and acceleration signal Acquisition Circuit 3, the accekeration that the 3-axis acceleration sensor 4 of described acceleration signal acquisition module and acceleration signal Acquisition Circuit 3 can produce from the human motion that is equipped with device extracts the body gait feature, detect motion step frequency x, acceleration maximal value A
Max, Z-direction acceleration average A
ZAVR, make up rate pattern y, y=(x-145)+m (A according to these three values
Max-a)+n (A
ZAVR-b), wherein a, b are dynamic thresholding, m, n are the regression equation coefficient.
The speed detection method of a kind of automatic distinguishing walking and running pattern comprises the steps:
1) by key device 2 user's personal information such as height, body weight, age, sex are input in this device, this device is provided in human body waist or neck or coat pocket or the satchel;
2) 3-axis acceleration sensor 4 of acceleration signal acquisition module and acceleration signal Acquisition Circuit 3 accekeration that can produce from the human motion that is equipped with device extracts the body gait feature, detecting motion step x frequently, acceleration maximal value A
Max, Z-direction acceleration average A
ZAVR, make up rate pattern y, y=(x-145)+m (A according to these three values
Max-a)+n (A
ZAVR-b), wherein a, b are dynamic thresholding, m, n are the regression equation coefficient;
3) signal that collects is transferred to signal and handles in 5 modules in real time, the time window that produces in conjunction with timing module 6 carries out the real-time processing of data, by signal real-time processing module 5 the rate pattern K that presets in the rate pattern y that collects and the data memory module 7 is carried out pattern-recognition, the rate pattern formula that the different motion pattern is corresponding different, if y≤K, then be judged to be walking mode, if y＞K, then be judged to be the running pattern, wherein, K is for setting constant, and two kinds of patterns have corresponding speed formula, can try to achieve speed according to speed formula, can carry out prediction of speed respectively to walking and running pattern;
4) real-time processing module 5 sends to LCD MODULE 8 with the speed numerical value that draws, or speed numerical value is sent to host computer by Computer Communications Interface 9.
Claims (2)
1. the speed detector of automatic distinguishing walking and running pattern, comprise this crust of the device, the acceleration signal acquisition module, the signal real-time processing module, data memory module, LCD MODULE, timing module, Computer Communications Interface, power supply and key device, described power supply is communicated with acceleration signal acquisition module and signal real-time processing module, the acceleration signal acquisition module, data memory module, Computer Communications Interface is communicated with the signal real-time processing module respectively, the signal real-time processing module is communicated to LCD MODULE, described key device is communicated to the signal real-time processing module, preset rate pattern in the described data memory module, it is characterized in that: described acceleration signal acquisition module is made up of 3-axis acceleration sensor and acceleration signal Acquisition Circuit, the accekeration that the 3-axis acceleration sensor of described acceleration signal acquisition module and acceleration signal Acquisition Circuit can produce from the human motion that is equipped with device extracts the body gait feature, detect motion step frequency x, acceleration maximal value A
Max, Z-direction acceleration average A
ZAVR, make up rate pattern y, y=(x-145)+m (A according to these three values
Max-a)+n (A
ZAVR-b), wherein a, b are dynamic thresholding, m, n are the regression equation coefficient.
2. the method for automatic distinguishing walking and the speed detector of running pattern is characterized in that, comprises the steps:
1) is input in this device by height, body weight, age, the sex of key device with user's personal information, this device can be provided in human body waist or neck or coat pocket or the satchel;
2) 3-axis acceleration sensor of acceleration signal acquisition module and the acceleration signal Acquisition Circuit accekeration that can produce from the human motion that is equipped with device extracts the body gait feature, detecting motion step x frequently, acceleration maximal value A
Max, Z-direction acceleration average A
ZAVR, make up rate pattern y, y=(x-145)+m (A according to these three values
Max-a)+n (A
ZAVR-b), wherein a, b are dynamic thresholding, m, n are the regression equation coefficient;
3) signal that collects is transferred in the signal real-time processing module, the time window that produces in conjunction with timing module carries out the real-time processing of data, by the signal real-time processing module rate pattern K that presets in the rate pattern y that collects and the data memory module is carried out pattern-recognition, the rate pattern formula that the different motion pattern is corresponding different, if y≤K, then be judged to be walking mode, if y＞K, then be judged to be the running pattern, wherein, K is for setting constant, and two kinds of patterns have corresponding speed formula, can try to achieve speed according to speed formula, can carry out prediction of speed respectively to walking and running pattern;
4) real-time processing module sends to LCD MODULE with the speed numerical value that draws, or speed numerical value is sent to host computer by Computer Communications Interface.
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| CN 201110088671 CN102243248B (en) | 2011-04-01 | 2011-04-01 | Speed detection device and method capable of automatically differentiating walking and running modes |
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| US9529966B2 (en) * | 2012-01-19 | 2016-12-27 | Nike, Inc. | Energy expenditure |
| JP5915285B2 (en) * | 2012-03-15 | 2016-05-11 | セイコーエプソン株式会社 | Status detection device, electronic device, measurement system, and program |
| CN104567858A (en) * | 2014-12-18 | 2015-04-29 | 广东小天才科技有限公司 | Method and system for replaying historical track based on motion state |
| CN105975753A (en) * | 2016-04-28 | 2016-09-28 | 努比亚技术有限公司 | Method for calculating moving speed of user and mobile terminal |
| JP2023116897A (en) * | 2022-02-10 | 2023-08-23 | パナソニックＩｐマネジメント株式会社 | Speed calculation device, speed calculation method, and speed calculation program |
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| CN1159569C (en) * | 1995-09-12 | 2004-07-28 | 欧姆龙株式会社 | Pedometer |
| CN101206124A (en) * | 2006-12-21 | 2008-06-25 | 陈侑郁 | Passimeter with automatic step correcting device |
| CN101453359B (en) * | 2007-12-06 | 2011-05-04 | 北京启明星辰信息技术股份有限公司 | Database error information extracting method and system |
| CN101881625B (en) * | 2008-08-19 | 2012-09-12 | 幻音科技(深圳)有限公司 | Stride correction method, ranging method and step-counting device |
| CN202102002U (en) * | 2011-04-01 | 2012-01-04 | 可瑞尔科技(扬州)有限公司 | Speed detection device for distinguishing walking and running modes automatically |
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