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Sensors 2015, 15(10), 27230-27250; doi:10.3390/s151027230

Step Detection Robust against the Dynamics of Smartphones

1
School of Electronics and Information Engineering, Korea Aerospace University, 76 Hanggongdaehang-ro Deogyang-gu, Goyang, Gyeonggi 412-791, Korea
2
Mechatronics R&D Center, Samsung Electronics, 1-1 Samsungjeonja-ro, Hwaseong, Gyeonggi 445-330, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Xue Wang
Received: 4 September 2015 / Revised: 12 October 2015 / Accepted: 22 October 2015 / Published: 26 October 2015
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [13123 KB, uploaded 26 October 2015]   |  

Abstract

A novel algorithm is proposed for robust step detection irrespective of step mode and device pose in smartphone usage environments. The dynamics of smartphones are decoupled into a peak-valley relationship with adaptive magnitude and temporal thresholds. For extracted peaks and valleys in the magnitude of acceleration, a step is defined as consisting of a peak and its adjacent valley. Adaptive magnitude thresholds consisting of step average and step deviation are applied to suppress pseudo peaks or valleys that mostly occur during the transition among step modes or device poses. Adaptive temporal thresholds are applied to time intervals between peaks or valleys to consider the time-varying pace of human walking or running for the correct selection of peaks or valleys. From the experimental results, it can be seen that the proposed step detection algorithm shows more than 98.6% average accuracy for any combination of step mode and device pose and outperforms state-of-the-art algorithms. View Full-Text
Keywords: step detection; accelerometer; step average; adaptive magnitude threshold; adaptive temporal threshold; peak-valley relationship; step mode; device pose step detection; accelerometer; step average; adaptive magnitude threshold; adaptive temporal threshold; peak-valley relationship; step mode; device pose
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Lee, H.-H.; Choi, S.; Lee, M.-J. Step Detection Robust against the Dynamics of Smartphones. Sensors 2015, 15, 27230-27250.

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