Energy-saving step counting method of intelligent electronic equipment and a pedometer

Abstract

The invention discloses an energy-saving step counting method of intelligent electronic equipment and a pedometer. The pedometer adopts the energy-saving step counting method, a time window firstly receives triaxial acceleration data of intelligent electronic equipment, then triaxial acceleration sample data in the time window is extracted, and then the average dispersion of the triaxial acceleration sample data of a walking period is calculated and used as a threshold value for determining the displacement action of a pedestrian according to the extracted triaxial acceleration sample data of the current time window; the maximum autocorrelation coefficient of adjacent walking periods is calculated and adopted to determine the state of the pedestrian to avoid misjudgment of other daily activities as walking actions, and reduce misjudgment caused by interference actions; in the continuous walking process of the pedestrian, the fixed threshold is changed into the dynamic threshold through adoption of the self-adaptive strategy, the current state of the pedestrian is dynamically detected, the self-adaptive capacity of the method is enhanced, and the phenomenon of losing step counting results caused by using the fixed threshold is avoided. The problems that a current pedometer is high in energy consumption and low in step counting accuracy are solved.

Description

technical field [0001] The invention belongs to the field of step counting of intelligent electronic equipment, and relates to an energy-saving step counting method and a pedometer of an intelligent electronic device with acceleration collection and processing functions. Background technique [0002] Among the existing step counting methods, the most representative ones are autocorrelation coefficient step counting algorithm, peak detection step counting algorithm and short-time Fourier transform. [0003] The autocorrelation coefficient pedometer algorithm uses the cyclic characteristics of the acceleration signal when the pedestrian is walking, and judges whether the pedestrian is walking by calculating the correlation strength of the overall acceleration on two adjacent walking cycles. The higher the correlation, the probability of accurate step counting bigger. The specific step counting process of the autocorrelation coefficient step counting algorithm is divided into ...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide an energy-saving step counting method for intelligent electronic equipment, to solve the problem that the existing pedometer adopts relatively complicated calculation process and parameters to cause high energy consumption in order to improve the accuracy of step counting. The problem that the pedometer affects the accuracy of step counting by judging the displacement of pedestrians through a fixed threshold, and the existing problem of the poor adaptability of the pedometer to detect the number of pedestrian steps in daily behavior activities proposed for specific body parts or specific equipment

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