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Robust and unobtrusive algorithm based on position independence for step detection
Author(s): KeCheng Qiu; MengYang Li; YiHan Luo
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Paper 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.

Paper Details

Date Published: 10 April 2018
PDF: 8 pages
Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106154H (10 April 2018); doi: 10.1117/12.2303363
Show Author Affiliations
KeCheng Qiu, Nanjing Univ. of Aeronautics and Astronautics (China)
MengYang Li, Hainan Univ. (China)
YiHan Luo, Hainan Univ. (China)


Published in SPIE Proceedings Vol. 10615:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Hui Yu; Junyu Dong, Editor(s)

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