Robust and unobtrusive algorithm based on position independence for step detection

KeCheng Qiu; MengYang Li; YiHan Luo

doi:10.1117/12.2303363

10 April 2018 Robust and unobtrusive algorithm based on position independence for step detection

KeCheng Qiu, MengYang Li, YiHan Luo

Author Affiliations +

Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106154H (2018) https://doi.org/10.1117/12.2303363
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China

Abstract

Running is becoming one of the most popular exercises among the people, monitoring steps can help users better understand their running process and improve exercise efficiency. In this paper, we design and implement a robust and unobtrusive algorithm based on position independence for step detection under real environment. It applies Butterworth filter to suppress high frequency interference and then employs the projection based on mathematics to transform system to solve the problem of unknown position of smartphone. Finally, using sliding window to suppress the false peak. The algorithm was tested for eight participants on the Android 7.0 platform. In our experiments, the results show that the proposed algorithm can achieve desired effect in spite of device pose.

Citation Download Citation

KeCheng Qiu, MengYang Li, and YiHan Luo "Robust and unobtrusive algorithm based on position independence for step detection ", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106154H (10 April 2018); https://doi.org/10.1117/12.2303363

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