CN103616034A - Network pedometer based on Bluetooth and step calculation method - Google Patents
Network pedometer based on Bluetooth and step calculation method Download PDFInfo
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- CN103616034A CN103616034A CN201310663945.7A CN201310663945A CN103616034A CN 103616034 A CN103616034 A CN 103616034A CN 201310663945 A CN201310663945 A CN 201310663945A CN 103616034 A CN103616034 A CN 103616034A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C22/00—Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers, using pedometers
- G01C22/006—Pedometers
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
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Abstract
The invention relates to a network pedometer based on Bluetooth. The network pedometer comprises a microcontroller, and is characterized in that an input terminal of the microcontroller is connected with a three-axis acceleration sensor, the microcontroller is connected with a Bluetooth sending module, and the network pedometer sends step calculation data to an intelligent terminal through the Bluetooth sending module. A step calculation method provided by the invention comprises the following steps: (a) collecting acceleration magnitudes; (b) selecting a calculating datum axis; (c) enabling digital filtering to be real-time; (d) storing acceleration values; (e) calculating real-time dynamic thresholds; (f) judging that whether acceleration changes are greater than predefined accuracy or not; (g) judging that whether acceleration is greater than the dynamic thresholds or not; (h) judging that whether the slope of an acceleration curve is positive or not. According to the network pedometer and the step calculation method provided by the invention, the axis with the largest average value is selected as the calculating datum axis, so that the accuracy of step forwarding judgment is ensured. By judging that whether the predefined precision, the dynamic thresholds and the slope of the acceleration curve are positive or not, the accuracy of step judgment is ensured.
Description
Technical field
The present invention relates to a kind of network passometer and step-recording method based on bluetooth, in particular, relate in particular to a kind of network passometer and the step-recording method based on bluetooth that can judge effectively, accurately effective paces that user steps.
Background technology
Passometer is day by day welcomed by the people in recent years, and it not only can encourage people to challenge oneself, and can help people to build up health and reduce weight.Bluetooth technology (Bluetooth), as a kind of short-distance wireless communication technology, is successfully simplified notebook
Communicating by letter between the mobile communication terminal devices such as computer, PAD and cell phone and Internet, make the data transmission between communication facilities and the Internet become efficient more rapidly, and bluetooth 4.0 has more been to provide a kind of low cost, low-power consumption, short-range wireless communication technology, promoted greatly Bluetooth technology widespread use.
Existing passometer generally adopts Gravity accelerometer collection user's motor message, after sampling, filtering are processed, by peak-value detection method, differentiates motion step number.The patent of invention file that for example patent No. is CN201310072404.7, it discloses a kind of passometer equipment and synchronous method thereof of supporting that automatic microblogging data are synchronous, it adopts peak-value detection method to identify user and whether diffuses out effective paces, but this detection method is prone to erroneous judgement, to effective paces, can not identify accurately.The patent No. is the patent of invention file of CN201310116006.0, a kind of universal microcomputer electric system passometer and step-recording method are disclosed, orientation determination with respect to vertical direction angle minimum in its three directions that MEMS 3-axis acceleration sensor is obtained is effective axle, this definite method that is effective axle.Judge paces whether effectively process be: according to real time acceleration data stream and threshold value, carry out size more definite, described real time acceleration data stream is comprised of 5 up-to-date acceleration value, first acceleration value in this real time acceleration data stream is greater than threshold value and last acceleration value while being less than threshold value, determines that paces are effective.The drawback that the recognition methods of this effective paces also exists erroneous judgement, fails to judge.
Moreover, if passometer and Bluetooth technology is effective in designing passometer, the related data that can effectively passometer be recorded by Bluetooth technology sends on the modern terminal equipment such as mobile phone, by terminal and Cloud Server, link, can not only increase the interest of people to passometer like this, also related data can be carried out to long-time real-time remaining, facilitate people to momental tracking and health control.
Summary of the invention
The present invention is in order to overcome the shortcoming of above-mentioned technical matters, and a kind of network passometer and the step-recording method based on bluetooth that can judge effectively, accurately effective paces that user steps is provided.
Network passometer based on bluetooth of the present invention, comprise there is collection, the microcontroller of computing and control action, its special feature is: the input end of described microcontroller is connected with the 3-axis acceleration sensor that can gather acceleration in three mutually perpendicular directions of movement human, microcontroller is connected with bluetooth sending module, and network passometer is sent to intelligent terminal by bluetooth sending module by meter step data.
Microcontroller has the effect of signals collecting, data operation and control output, 3-axis acceleration sensor is for measuring the acceleration in three mutually perpendicular directions of movement human, microcontroller is according to the acceleration value gathering, judge effective paces number that movement human steps, microcontroller is uploaded to intelligent terminal by bluetooth sending module by effective paces number.
Network passometer based on bluetooth of the present invention, comprises the Cloud Server communicating by wireless network with intelligent terminal, and intelligent terminal is sent to Cloud Server by wireless network by the meter step data of reception, and Cloud Server is to the storage of meter step data and the analysis that receive.Intelligent terminal can not only demonstrate effective paces number that user steps, but also can be by data upload to Cloud Server, and server is stored and analyzed data, has facilitated people to momental tracking and health control.
Network passometer based on bluetooth of the present invention, described 3-axis acceleration sensor adopts MMA845XQ chip, and microprocessor adopts nRF51822 chip.
The step-recording method of the network passometer based on bluetooth of the present invention, it is characterized in that, comprise the following steps: a). gather accekeration, when user wears network passometer and carries out road-work, 3-axis acceleration sensor can be exported three acceleration in mutually perpendicular direction, establishes it and is respectively X-axis acceleration, Y-axis acceleration and Z axis acceleration; The X-axis, Y-axis and the Z axis acceleration information that gather equal number, the data bulk of establishing collection is
individual; B). select to calculate reference axis, on the X-axis gathering, Y-axis, Z axis
individual acceleration value, calculates respectively the mean value of its acceleration, choose there is maximum average value axle as calculating reference axis; C). real-time digital filtering, that for the calculating reference axis of 3-axis acceleration sensor, exports is continuous
individual acceleration value, exports as filtered acceleration value after being averaged; D). the storage of acceleration value, by step c) the effective acceleration value storage of output is extremely
in individual register, if
individual register is full, the acceleration value of oldest stored is deleted, to store up-to-date acceleration value; E). ask for real-time dynamic threshold, first find out
the maximal value of the acceleration of storing in individual register
and minimum value
, utilize formula
obtain real-time dynamic threshold
; F). judge whether acceleration change is greater than predefine precision, the filtering post-acceleration numerical value of up-to-date collection and the last acceleration value gathering are done to poor processing, judge whether the absolute value of difference is greater than predefine precision
,
> 0, if be greater than predefine precision, performs step g); If be less than or equal to predefine precision, show to be not enough to judge that according to the acceleration value of this output user has effectively stepped a step execution step c); G). judge whether acceleration is greater than dynamic threshold, judge whether the filtering post-acceleration numerical value of up-to-date collection is greater than real-time dynamic threshold
if be greater than real-time dynamic threshold, execution step h); If be less than or equal to real-time dynamic threshold, cast out execution step c); H). whether the slope that judges accelerating curve is for just, whether the filtering post-acceleration numerical value that judges up-to-date collection is greater than the last acceleration value gathering and sets up, if set up, show that the slope of accelerating curve now, for just, can judge that user has stepped a step effectively; If be false, show that now the slope of accelerating curve is negative, undecidable user has stepped a step effectively.
Step b) in, owing to selecting the corresponding axle of acceleration mean value maximal value on X-axis, Y-axis, Z axis, be reference axis, therefore in step, no matter how user wears network passometer in a), all can realize the detection of effective paces.All can there is fluctuation in the human body signal that sensor collects in motion process, saltus step is larger, although the precision of sensor is comparatively sensitive, still can have certain deviation in practice, by step c) can effectively reduce fluctuation interference.Step e) in, up-to-date owing to selecting
maximal value in individual acceleration value and minimum value, what therefore obtain is real-time dynamic threshold.Step f), in, only have the variation of acceleration value to be greater than predefine precision
, just this acceleration value can be used for judging whether user effectively steps a step.The acceleration of 3-axis acceleration sensor output is similar to sinusoidal curve, step g) in, retain the accekeration that is greater than real-time dynamic threshold, with regard to being equivalent to get the numerical value of accelerating curve the first half, judge; Step h) in, the filtering post-acceleration numerical value of up-to-date collection is greater than the last acceleration value gathering, with regard to being equivalent to get the ascent stage of accelerating curve, judge, although user steps the sinusoidal acceleration curve that a step produces one-period like this, passometer only provides the judgement of once taking a step.
The step-recording method of the network passometer based on bluetooth of the present invention, described in
numerical value be 100～150, described in
,
setting be respectively 5,30; Described
=0.01.
The invention has the beneficial effects as follows: the network passometer based on bluetooth of the present invention, by microcontroller and coupled 3-axis acceleration sensor and bluetooth sending module are set, not only can effectively detect the acceleration in three directions of movement human, and judge effective paces number by acceleration, but also effective paces number can be uploaded on smart machine.By communicating by letter of smart machine and Cloud Server, can by players take a step data upload to Cloud Server, be convenient on Cloud Server storage and analyze, facilitated people to momental tracking and health control.
The step-recording method of the network passometer based on bluetooth of the present invention, first gather the acceleration of X-axis, Y-axis and the Z axis of some, by choose there is maximum average value axle as calculating reference axis, both guarantee the accuracy to the judgement of effectively taking a step, and made again network passometer randomness to wear.By digital filtering step, effective filtering interference signals.By whether being greater than predefine precision, be greater than dynamic threshold and whether accelerating curve slope is positive judgement, user takes a step to export in the process of sinusoidal acceleration signal, in one-period, only carry out the once effectively judgement of paces, guaranteed the accuracy of paces judgements.
Accompanying drawing explanation
Fig. 1 is the circuit theory diagrams of the network passometer based on bluetooth of the present invention;
Fig. 2 is the fundamental diagram of the network passometer based on bluetooth of the present invention;
Fig. 3 is the circuit diagram of 3-axis acceleration sensor part in the present invention;
Fig. 4 is the circuit diagram of microcontroller part in the present invention;
Fig. 5 is the schematic diagram that human body is worn 3-axis acceleration sensor;
Fig. 6 is the schematic diagram of 3-axis acceleration sensor X-axis, Y-axis and the Z axis accelerating curve exported;
Fig. 7 is the step-recording method process flow diagram of the network passometer based on bluetooth of the present invention.
Embodiment
Below in conjunction with accompanying drawing and embodiment, the invention will be further described.
As shown in Figure 1, circuit theory diagrams and the fundamental diagram of the network passometer based on bluetooth of the present invention have been provided, shown network passometer is comprised of 3-axis acceleration sensor, microcontroller and bluetooth sending module, and 3-axis acceleration sensor is all connected with microcontroller with bluetooth sending module.After user wears 3-axis acceleration sensor, can measure the acceleration in three mutually perpendicular directions of user, as shown in Figure 5, the acceleration of establishing its output is respectively X-axis acceleration, Y-axis acceleration and Z axis acceleration.Microcontroller gathers union to the acceleration information of input, to judge whether user effectively steps paces; Microcontroller can be uploaded to intelligent terminal by the paces number of calculating by bluetooth sending module, and intelligent terminal can adopt smart mobile phone etc.
Intelligent terminal can be uploaded to the data of reception on Cloud Server by wireless network, Cloud Server not only can be stored the paces data of uploading, so as user's subsequent query, but also can data be managed and be analyzed, facilitated people to momental tracking and health control.As shown in Figure 3, provided the circuit diagram of 3-axis acceleration sensor in the present invention, it adopts MMA845XQ chip; Fig. 4 has provided the circuit diagram of microcontroller in the present invention, and it adopts nRF51822 chip, between MMA845XQ chip and nRF51822 chip, adopts
communication, the ACC_SCL of MMA845XQ chip and ACC_SDA are
bus.
As shown in Figure 7, provided the step-recording method process flow diagram of the network passometer based on bluetooth of the present invention, it is realized by following steps:
A). gather accekeration, when user wears network passometer and carries out road-work, 3-axis acceleration sensor can be exported three acceleration in mutually perpendicular direction, establishes it and is respectively X-axis acceleration, Y-axis acceleration and Z axis acceleration; The X-axis, Y-axis and the Z axis acceleration information that gather equal number, the data bulk of establishing collection is
individual;
The data of 3-axis acceleration sensor output comprise three accekerations in direction, are respectively back/forth component, left and right component and upper and lower component, in algorithm, these three directions are defined as to X-axis, Y-axis and Z axis, as shown in Figure 1.
B). select to calculate reference axis, on the X-axis gathering, Y-axis, Z axis
individual acceleration value, calculates respectively the mean value of its acceleration, choose there is maximum average value axle as calculating reference axis;
Due to the difference of motion unit and the position mode of entrained passometer different, the situation of change of X-axis, Y-axis and Z axis acceleration is also discrepant, but the variation that always has a direction is outstanding, the calculating reference axis that Here it is selects, the XYZ axle acceleration change curve of the individual instances of running in reality as shown in Figure 6.Choose there is maximum average value axle as calculating reference axis, be conducive to guarantee the accuracy of effective paces judgement.
C). real-time digital filtering, that for the calculating reference axis of 3-axis acceleration sensor, exports is continuous
individual acceleration value, exports as filtered acceleration value after being averaged;
All can there is fluctuation in the human body signal that sensor collects in motion process, saltus step is larger, although the precision of sensor is comparatively sensitive, still can have certain deviation in practice.For this defect, design the processing that Real Time Digital Filter carries out smooth data plot.Can use five registers and the unit of averaging.In fact more resulting register used data and curves be more steady accurately, but use too much register will certainly affect response speed, and through test, five registers can well be taken into account data smoothness and response speed.
D). the storage of acceleration value, by step c) the effective acceleration value storage of output is extremely
in individual register, if
individual register is full, the acceleration value of oldest stored is deleted, to store up-to-date acceleration value;
E). ask for real-time dynamic threshold, first find out
the maximal value of the acceleration of storing in individual register
and minimum value
, utilize formula
obtain real-time dynamic threshold
;
F). judge whether acceleration change is greater than predefine precision, the filtering post-acceleration numerical value of up-to-date collection and the last acceleration value gathering are done to poor processing, judge whether the absolute value of difference is greater than predefine precision
,
> 0, if be greater than predefine precision, performs step g); If be less than or equal to predefine precision, show to be not enough to judge that according to the acceleration value of this output user has effectively stepped a step execution step c);
Only have the variation of acceleration value to be greater than predefine precision
, just this acceleration value can be used for judging whether user effectively steps a step;
G). judge whether acceleration is greater than dynamic threshold, judge whether the filtering post-acceleration numerical value of up-to-date collection is greater than real-time dynamic threshold
if be greater than real-time dynamic threshold, execution step h); If be less than or equal to real-time dynamic threshold, cast out execution step c);
The acceleration of 3-axis acceleration sensor output is similar to sinusoidal curve, step g) in, retain the accekeration that is greater than real-time dynamic threshold, with regard to being equivalent to get the numerical value of accelerating curve the first half, judge;
H). whether the slope that judges accelerating curve is for just, whether the filtering post-acceleration numerical value that judges up-to-date collection is greater than the last acceleration value gathering and sets up, if set up, show that the slope of accelerating curve now, for just, can judge that user has stepped a step effectively; If be false, show that now the slope of accelerating curve is negative, undecidable user has stepped a step effectively.
Step h) in, the filtering post-acceleration numerical value of up-to-date collection is greater than the last acceleration value gathering, with regard to being equivalent to get the ascent stage of accelerating curve, judge, although user steps the sinusoidal acceleration curve that a step produces one-period like this, passometer only provides the judgement of once taking a step.
The step-recording method of the network passometer based on bluetooth of the present invention, by whether being greater than predefine precision, be greater than dynamic threshold and whether accelerating curve slope is positive judgement, user takes a step to export in the process of sinusoidal acceleration signal, in one-period, only carry out the once effectively judgement of paces, guaranteed the accuracy of paces judgements.
Claims (5)
1. the network passometer based on bluetooth, comprise there is collection, the microcontroller of computing and control action, it is characterized in that: the input end of described microcontroller is connected with the 3-axis acceleration sensor that can gather acceleration in three mutually perpendicular directions of movement human, microcontroller is connected with bluetooth sending module, and network passometer is sent to intelligent terminal by bluetooth sending module by meter step data.
2. the network passometer based on bluetooth according to claim 1, it is characterized in that: comprise the Cloud Server communicating by wireless network with intelligent terminal, intelligent terminal is sent to Cloud Server by wireless network by the meter step data of reception, and Cloud Server is to the storage of meter step data and the analysis that receive.
3. the network passometer based on bluetooth according to claim 1 and 2, is characterized in that: described 3-axis acceleration sensor adopts MMA845XQ chip, and microprocessor adopts nRF51822 chip.
4. the step-recording method based on the network passometer based on bluetooth claimed in claim 1, is characterized in that, comprises the following steps:
A). gather accekeration, when user wears network passometer and carries out road-work, 3-axis acceleration sensor can be exported three acceleration in mutually perpendicular direction, establishes it and is respectively X-axis acceleration, Y-axis acceleration and Z axis acceleration; The X-axis, Y-axis and the Z axis acceleration information that gather equal number, the data bulk of establishing collection is
individual;
B). select to calculate reference axis, on the X-axis gathering, Y-axis, Z axis
individual acceleration value, calculates respectively the mean value of its acceleration, choose there is maximum average value axle as calculating reference axis;
C). real-time digital filtering, that for the calculating reference axis of 3-axis acceleration sensor, exports is continuous
individual acceleration value, exports as filtered acceleration value after being averaged;
D). the storage of acceleration value, by step c) the effective acceleration value storage of output is extremely
in individual register, if
individual register is full, the acceleration value of oldest stored is deleted, to store up-to-date acceleration value;
E). ask for real-time dynamic threshold, first find out
the maximal value of the acceleration of storing in individual register
and minimum value
, utilize formula
obtain real-time dynamic threshold
;
F). judge whether acceleration change is greater than predefine precision, the filtering post-acceleration numerical value of up-to-date collection and the last acceleration value gathering are done to poor processing, judge whether the absolute value of difference is greater than predefine precision
,
> 0, if be greater than predefine precision, performs step g); If be less than or equal to predefine precision, show to be not enough to judge that according to the acceleration value of this output user has effectively stepped a step execution step c);
G). judge whether acceleration is greater than dynamic threshold, judge whether the filtering post-acceleration numerical value of up-to-date collection is greater than real-time dynamic threshold
if be greater than real-time dynamic threshold, execution step h); If be less than or equal to real-time dynamic threshold, cast out execution step c);
H). whether the slope that judges accelerating curve is for just, whether the filtering post-acceleration numerical value that judges up-to-date collection is greater than the last acceleration value gathering and sets up, if set up, show that the slope of accelerating curve now, for just, can judge that user has stepped a step effectively; If be false, show that now the slope of accelerating curve is negative, undecidable user has stepped a step effectively.
5. the step-recording method of the network passometer based on bluetooth according to claim 4, is characterized in that: described in
numerical value be 100～150, described in
,
setting be respectively 5,30; Described
=0.01.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104021601A (en) * | 2014-05-30 | 2014-09-03 | 爱培科科技开发（深圳）有限公司 | Car collision detection method and device based on three-shaft acceleration sensor |
| CN104075730A (en) * | 2014-07-02 | 2014-10-01 | 电子科技大学 | Gait counting method and gait counter |
| CN104200234A (en) * | 2014-07-11 | 2014-12-10 | 杭州微纳科技有限公司 | Human body action modeling and recognizing method |
| CN104215238A (en) * | 2014-08-21 | 2014-12-17 | 北京空间飞行器总体设计部 | Indoor positioning method of intelligent mobile phone |
| CN104406603A (en) * | 2014-11-12 | 2015-03-11 | 上海天奕达电子科技有限公司 | Step-counting method based on acceleration sensor and device thereof |
| CN104570840A (en) * | 2014-12-03 | 2015-04-29 | 北京元心科技有限公司 | Preset stepping strength detection method, processor and motion detection equipment |
| CN105509762A (en) * | 2014-09-30 | 2016-04-20 | 深圳市冠旭电子有限公司 | Step counting method and device based on three axis accelerometer |
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| CN107063291A (en) * | 2017-03-06 | 2017-08-18 | 建荣半导体（深圳）有限公司 | Step-recording method, step count set, meter step chip and mobile terminal |
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| CN110201375A (en) * | 2019-07-18 | 2019-09-06 | 歌尔科技有限公司 | A kind of method, apparatus, equipment and the readable storage medium storing program for executing of wireless headset step counting |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102095429A (en) * | 2010-11-05 | 2011-06-15 | 吉林大学 | Bluetooth pedometer based on chain code algorithm |
| CN202205202U (en) * | 2011-07-29 | 2012-04-25 | 北京华录亿动科技发展有限公司 | Movement data management system based on Bluetooth pedometer |
| CN102545970A (en) * | 2011-12-31 | 2012-07-04 | 福州宜美电子有限公司 | Method for transmitting motion information to cloud terminal by watch through ultralow power consumption Bluetooth |
-
2013
- 2013-12-10 CN CN201310663945.7A patent/CN103616034B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102095429A (en) * | 2010-11-05 | 2011-06-15 | 吉林大学 | Bluetooth pedometer based on chain code algorithm |
| CN202205202U (en) * | 2011-07-29 | 2012-04-25 | 北京华录亿动科技发展有限公司 | Movement data management system based on Bluetooth pedometer |
| CN102545970A (en) * | 2011-12-31 | 2012-07-04 | 福州宜美电子有限公司 | Method for transmitting motion information to cloud terminal by watch through ultralow power consumption Bluetooth |
Cited By (37)
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| CN104021601B (en) * | 2014-05-30 | 2015-04-29 | 爱培科科技开发（深圳）有限公司 | Car collision detection method and device based on three-shaft acceleration sensor |
| CN104075730B (en) * | 2014-07-02 | 2017-02-01 | 电子科技大学 | Gait counting method and gait counter |
| CN104075730A (en) * | 2014-07-02 | 2014-10-01 | 电子科技大学 | Gait counting method and gait counter |
| CN104200234A (en) * | 2014-07-11 | 2014-12-10 | 杭州微纳科技有限公司 | Human body action modeling and recognizing method |
| CN104200234B (en) * | 2014-07-11 | 2018-10-16 | 杭州微纳科技股份有限公司 | Human action models and recognition methods |
| CN104215238A (en) * | 2014-08-21 | 2014-12-17 | 北京空间飞行器总体设计部 | Indoor positioning method of intelligent mobile phone |
| CN105509762A (en) * | 2014-09-30 | 2016-04-20 | 深圳市冠旭电子有限公司 | Step counting method and device based on three axis accelerometer |
| CN105509762B (en) * | 2014-09-30 | 2019-01-29 | 深圳市冠旭电子股份有限公司 | A kind of step-recording method and device based on triaxial accelerometer |
| CN104406603A (en) * | 2014-11-12 | 2015-03-11 | 上海天奕达电子科技有限公司 | Step-counting method based on acceleration sensor and device thereof |
| CN104406603B (en) * | 2014-11-12 | 2018-05-11 | 上海卓易科技股份有限公司 | A kind of step-recording method and device based on acceleration transducer |
| CN107209023B (en) * | 2014-11-27 | 2020-12-11 | 雷蛇(亚太)私人有限公司 | Step counter device and step counting method |
| US10598510B2 (en) | 2014-11-27 | 2020-03-24 | Razer (Asia-Pacific) Pte. Ltd. | Step counter devices and step counting methods |
| CN107209023A (en) * | 2014-11-27 | 2017-09-26 | 雷蛇(亚太)私人有限公司 | Step-by-step counter device and step-by-step counting method |
| CN104570840A (en) * | 2014-12-03 | 2015-04-29 | 北京元心科技有限公司 | Preset stepping strength detection method, processor and motion detection equipment |
| CN104570840B (en) * | 2014-12-03 | 2017-07-18 | 北京元心科技有限公司 | One kind default take a step dynamics detection method, processor and motion detection device |
| CN105890619A (en) * | 2014-12-25 | 2016-08-24 | 陆婷 | Pedometer design based on three-axis acceleration sensor |
| CN105698815A (en) * | 2016-03-24 | 2016-06-22 | 广东欧珀移动通信有限公司 | Method and device for regulating step counting data |
| CN105698815B (en) * | 2016-03-24 | 2018-07-27 | 广东欧珀移动通信有限公司 | Count the adjusting method and device of step data |
| CN107277293A (en) * | 2016-03-31 | 2017-10-20 | 株式会社百利达 | Image forming apparatus, computer-readable medium and activities meter system |
| CN107277293B (en) * | 2016-03-31 | 2020-10-09 | 株式会社百利达 | Image forming apparatus, computer-readable medium, and activity meter system |
| US10635370B2 (en) | 2016-03-31 | 2020-04-28 | Tanita Corporation | Image forming apparatus that acquires data from an activity amount meter |
| CN106197412A (en) * | 2016-06-30 | 2016-12-07 | 北京海顿中科技术有限公司 | The pinpoint method of micro-inertial navigation is carried out based on accelerometer, gyroscope |
| CN106225803A (en) * | 2016-07-20 | 2016-12-14 | 浪潮软件集团有限公司 | Step counting method based on three-axis accelerator |
| CN106512370A (en) * | 2016-11-11 | 2017-03-22 | 高霞 | Intelligent calculating instrument for table tennis training |
| CN106643784A (en) * | 2016-11-15 | 2017-05-10 | 成都麦杰康科技有限公司 | User terminal and automatic step counting device and method |
| CN107063291A (en) * | 2017-03-06 | 2017-08-18 | 建荣半导体（深圳）有限公司 | Step-recording method, step count set, meter step chip and mobile terminal |
| CN107314775B (en) * | 2017-05-17 | 2019-09-10 | 浙江利尔达物联网技术有限公司 | A kind of switching at runtime based on 3-axis acceleration sensor calculates the step-recording method of axis |
| CN107314775A (en) * | 2017-05-17 | 2017-11-03 | 浙江利尔达物联网技术有限公司 | A kind of switching at runtime based on 3-axis acceleration sensor calculates the step-recording method of axle |
| CN107515010A (en) * | 2017-08-28 | 2017-12-26 | 五邑大学 | The data processing method and pedometer device of a kind of pedometer |
| CN108186024A (en) * | 2017-12-27 | 2018-06-22 | 宁波安尚川智能科技有限公司 | A kind of movement gait monitor and multi-parameter sensor data processing method |
| CN109297506A (en) * | 2018-08-09 | 2019-02-01 | 暨南大学 | A kind of smart motion measurement wearable device and measurement method |
| CN109949543A (en) * | 2019-04-18 | 2019-06-28 | 西安建筑科技大学 | A kind of multifunctional shoe and the remotely intelligently monitoring method based on pressure sensitive |
| CN110068322A (en) * | 2019-04-18 | 2019-07-30 | 中国电子科技集团公司电子科学研究院 | A kind of pedestrian's localization method and pedestrian's positioning device based on terminal |
| CN110068322B (en) * | 2019-04-18 | 2024-03-01 | 中国电子科技集团公司电子科学研究院 | Pedestrian positioning method and pedestrian positioning device based on terminal |
| CN110201375A (en) * | 2019-07-18 | 2019-09-06 | 歌尔科技有限公司 | A kind of method, apparatus, equipment and the readable storage medium storing program for executing of wireless headset step counting |
| CN114034311A (en) * | 2021-11-01 | 2022-02-11 | 苏州市春菊电器有限公司 | Step counting system for dust collector and step counting method thereof |
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