A human body step counting method with high precision, high false removal, and integrated power management

Abstract

The invention provides a high-precision and high pseudo-step removing human step-counting method integrating power consumption management. According to the method, a triaxial linear acceleration sensor is used for acquiring original waveforms, sampling time intervals of the original waveforms are adaptively switched according to the change of the original waveforms, the original waveforms of axes are subjected to high-pass filtering and absolute value mode solving one by one, the triaxial waveforms are summed, subjected to low-pass filtering and then respectively smoothened by three points and fourteen points, the waveforms smoothened by the fourteen points serve as dynamic threshold waveforms, the waveforms smoothened by the three points are delayed by eight points and serve as step-counting waveforms, finally, peak values of the step-counting waveforms and the dynamic threshold waveforms are compared, and the time interval between two step-counting waveforms is judged to determine whether the step-counting waveforms are normal waveforms or not. By the step-counting method, pseudo-steps can be effectively removed, step-counting precision is improved, and power consumption is effectively managed.

Description

technical field [0001] The invention relates to the step counting technology of electronic equipment with health care functions, in particular to a human body step counting method with high precision, high false removal and integrated power consumption management. Background technique [0002] In today's increasingly popular wearable electronic device market, pedometers, bracelets, and watches with sports tracking functions have been seen everywhere, and their step counting accuracy is gradually getting higher and higher. At present, for various sports tracking devices, the accuracy of step counting tends to be 90% or higher when the user actually walks or runs. However, when the user is not walking or running, many sports tracking devices will generate more pseudo-steps, such as when the wearer is driving a vehicle, or sitting in an office and typing on a computer. The generation of such pseudo-steps has caused certain troubles to the user, because the pseudo-steps are not...

AI Technical Summary

Problems solved by technology

At present, most step counting algorithms sample a fixed sampling interval, which cannot make a good balance between power consumption and recognition of motion types

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