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Step counting method based on mobile phone three-axis acceleration sensor

A technology of axis acceleration and sensors, which is applied to equipment with sensors, instruments, telephone communications, etc., can solve problems such as miscalculation or omission, and achieve the effects of accurate step counting, strong practicability, and strong portability

Active Publication Date: 2017-12-12
HOHAI UNIV
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Problems solved by technology

Therefore, only using the combined acceleration data and extracting the periodic characteristics of the waveform for step counting is prone to miscounting or missing counting, and the existing methods still have deficiencies

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  • Step counting method based on mobile phone three-axis acceleration sensor
  • Step counting method based on mobile phone three-axis acceleration sensor
  • Step counting method based on mobile phone three-axis acceleration sensor

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Embodiment Construction

[0041] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0042] Such as figure 1 As shown, the system flow of the embodiment of the present invention is provided, including the following steps:

[0043] 101. Data acquisition: including setting the sampling frequency and sampling time window of the three-axis acceleration sensor of the mobile phone, calculating the sampling calculation window, and storing the collected values ​​of the three-axis acceleration. The data of each axis in each sampling calculation window is numbered 0, 1, ..., n-1 according to the collection sequence, where n represents the number of data of each axis in each sampling calculation window.

[0044] Calculate the sampling calculation window, the formula is: windowLength=f*N. Among them, windowLength represents the total length of the sampling calculation window, in unit; f represents the sampling frequency, in hertz; N represen...

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Abstract

The invention discloses a step counting method based on a mobile phone three-axis acceleration sensor. The step counting method comprises the following steps that data is acquired, wherein three-axis data of the three-axis acceleration sensor is acquired through a calculating window; the data is preprocessed, the average value of the data is smoothed, and resultant acceleration is calculated; features are extracted, the average value and variance of the data and the wave crest number of the resultant acceleration are extracted, the resultant acceleration is clustered by utilizing a clustering algorithm, and clustering centers are extracted as clustering algorithm features; position judgement is performed, wherein the features are classified by utilizing the clustering algorithm to obtain category labels; waveform reconstruction is performed, the data is segmented to form a tetrad, and the data is partitioned into complete waves; steps are calculated, threshold values are correspondingly distinguished according to categories and are utilized to distinguish the reconstructed data, and the number of steps corresponding to the categories is added with 1 when the conditions are met. By adopting the step counting method, different positions where mobile phones are located can be identified, step counting is more accurate, and the method has stronger interference resistance.

Description

technical field [0001] The invention relates to a step counting method based on a three-axis acceleration sensor of a mobile phone, belonging to the technical field of consumer application electronics. Background technique [0002] With the improvement of people's living standards, people have paid more and more attention to how to carry out reasonable physical exercise. Timely monitoring of physical conditions and timely acquisition of exercise data have become the basic needs of the majority of sports-loving groups. On the other hand, with the vigorous development of the Internet of Things today, more and more sensor devices are applied to wearable devices. As a typical smart wearable device and smart monitoring device, smart phones have entered the lives of the public. Many health monitoring and exercise guidance applications have appeared on the mobile platform of smart phones, which provide a powerful way to obtain health information. Material and technical support. P...

Claims

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Application Information

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IPC IPC(8): G01C22/00H04M1/725
CPCG01C22/006H04M2250/12H04M1/72457
Inventor 彭琛韩立新勾智楠
Owner HOHAI UNIV
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