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http://dx.doi.org/10.9708/jksci.2014.19.5.043

Gravity Removal and Vector Rotation Algorithm for Step counting using a 3-axis MEMS accelerometer  

Kim, Seung-Young (Dept. of Computer Information and Science, Inha University)
Kwon, Gu-In (Dept. of Computer Information and Science, Inha University)
Publication Information
Journal of the Korea Society of Computer and Information / v.19, no.5, 2014 , pp. 43-52 More about this Journal
Abstract
In this paper, we propose Gravity Removal and Vector Rotation algorithm for counting steps of wearable device, and we evaluated the proposed GRVR algorithm with Micro-Electro-Mechanical (MEMS) 3-axis accelerometer equipped in low-power wearable device while the device is mounted on various positions of a walking or running person. By applying low-pass filter, the gravity elements are canceled from acceleration on each axis of yaw, pitch and roll. In addition to DC-bias removal and the low-pass filtering, the proposed GRVR calculates acceleration only on the yaw-axis while a person is walking or running thus we count the step even if the wearable device's axis are rotated during walking or running. The experimental result shows 99.4% accuracies for the cases where the wearable device is mounted in the middle and on the right of the belt, and 91.1% accuracy which is more accurate than 83% of commercial 3-axis pedometer when worn on wrist for the case of axis-rotation.
Keywords
Wearable device; 3-axis accelerometer; Gravity Removal and Vector Rotation algorithm;
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