a step counting method

Abstract

The invention discloses a step calculation method. The step calculation method comprises following steps: after acquisition of three axises acceleration of arms and hands swinging by a pedometer, reference acceleration of the three axises acceleration in a preset acquisition time is subjected to smoothing so as to obtain processed acceleration; effective characteristic acceleration is obtained from the processed acceleration, and time position of the effective characteristic acceleration in the preset acquisition time is recorded, and a first time window taking the time position of an object characteristic acceleration in the effective characteristic acceleration as the center is determined; it is determined that whether the processed acceleration possesses periodicity based on similarity of processed acceleration waveform in the first time window with processed acceleration waveform in a second time window; if the processed acceleration possesses periodicity, the time length of the first time window is determined to be a step period, and step calculation of the processed acceleration is carried out according to the step period. The step calculation method is capable of reducing miscounting or missing counting in step calculation, and increasing accuracy of step calculation.

Description

technical field [0001] The invention relates to the field of electronic technology, in particular to a step counting method. Background technique [0002] With the development of modern technology and the improvement of people's living standards, smart wearable devices have gradually developed in China and began to extend to various fields. At present, most smart wearable devices are equipped with pedometers, which can count the steps of people's walking or running status. Most of the existing step counting methods detect the acceleration signal of the wearer's wrist through an acceleration sensor, and then use the peak and valley values ​​of the acceleration signal to count the wearer's steps. Due to the complex and changeable arm swing movements of the wearer during daily walking, and the differences in the arm swing movements of different wearers, coupled with the interference of noise, in most cases, the segmentation of a complete gait cycle will not be obvious. Theref...

AI Technical Summary

Problems solved by technology

Due to the complex and changeable arm swing movements of the wearer during daily walking, and the differences in the arm swing movements of different wearers, coupled with the interference of noise, in most cases, the segmentation of a complete gait cycle will not be obvious

Therefore, only relying on the peak-to-valley value of the combined acceleration signal to count steps is prone to miscalculation or omission

It can be seen that there is a large error in the existing step counting method

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