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

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2014, 19(5), pp.43-52
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

김승영 1 권구인 2

1인하대학교 컴퓨터정보공학부
2인하대학교

Accredited

ABSTRACT

In this paper, we propose Gravity Removal and Vector Rotation algorithm for counting steps ofwearable 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 gravityelements are canceled from acceleration on each axis of yaw, pitch and roll. In addition to DC-biasremoval and the low-pass filtering, the proposed GRVR calculates acceleration only on theyaw-axis while a person is walking or running thus we count the step even if the wearable device’saxis are rotated during walking or running. The experimental result shows 99.4% accuracies forthe cases where the wearable device is mounted in the middle and on the right of the belt, and91.1% accuracy which is more accurate than 83% of commercial 3-axis pedometer when worn onwrist for the case of axis-rotation.

Citation status

* References for papers published after 2022 are currently being built.