A Hybrid HMM/Kalman Filter for Tracking Hip Angle in Gait Cycle(Biological Engineering)

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概要

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• Movement of the thighs is an important factor for studying gait cycle. In this paper, a hybrid hidden Markov model (HMM)/Kalman filter (KF) scheme is proposed to track the hip angle during gait cycles. Within such a framework, HMM and KF work in parallel to estimate the hip angle and detect major gait events. This approach has been applied to study gait features of different subjects and compared with video based approach. Experimental results indicate that 1.) the swing angle of the hip can be detected with simple hardware configuration using biaxial accelerometers and 2.) the hip angle can be tracked for different subjects within the error range of -5°〜+5°.

• 社団法人電子情報通信学会の論文
• 2006-07-01

著者

• DONG Liang

  Institute for Infocomm Research

• Dong Liang

  Inst. Infocomm Res. Singapore

• WU Jiankang

  Institute for Infocomm Research

• BAO Xiaoming

  Institute for Infocomm Research

関連論文

• Cluster Based Location-Aided Routing Protocol for Large Scale Mobile Ad Hoc Networks
• A Hybrid HMM/Kalman Filter for Tracking Hip Angle in Gait Cycle(Biological Engineering)

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