A Hybrid HMM/Kalman Filter for Tracking Hip Angle in Gait Cycle

Liang DONG; Jiankang WU; Xiaoming BAO

doi:10.1093/ietisy/e89-d.7.2319

A Hybrid HMM/Kalman Filter for Tracking Hip Angle in Gait Cycle

Liang DONG, Jiankang WU, Xiaoming BAO

Full Text Views

0

Cite this

Summary :

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°.

Publication: IEICE TRANSACTIONS on Information Vol.E89-D No.7 pp.2319-2323

Publication Date: 2006/07/01

Publicized

Online ISSN: 1745-1361

DOI: 10.1093/ietisy/e89-d.7.2319

Type of Manuscript: LETTER

Category: Biological Engineering

Cite this

Copy

Liang DONG, Jiankang WU, Xiaoming BAO, "A Hybrid HMM/Kalman Filter for Tracking Hip Angle in Gait Cycle" in IEICE TRANSACTIONS on Information, vol. E89-D, no. 7, pp. 2319-2323, July 2006, doi: 10.1093/ietisy/e89-d.7.2319.
Abstract: 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°.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e89-d.7.2319/_p

Copy

@ARTICLE{e89-d_7_2319,
author={Liang DONG, Jiankang WU, Xiaoming BAO, },
journal={IEICE TRANSACTIONS on Information},
title={A Hybrid HMM/Kalman Filter for Tracking Hip Angle in Gait Cycle},
year={2006},
volume={E89-D},
number={7},
pages={2319-2323},
abstract={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°.},
keywords={},
doi={10.1093/ietisy/e89-d.7.2319},
ISSN={1745-1361},
month={July},}

Copy

TY - JOUR
TI - A Hybrid HMM/Kalman Filter for Tracking Hip Angle in Gait Cycle
T2 - IEICE TRANSACTIONS on Information
SP - 2319
EP - 2323
AU - Liang DONG
AU - Jiankang WU
AU - Xiaoming BAO
PY - 2006
DO - 10.1093/ietisy/e89-d.7.2319
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E89-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2006
AB - 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°.
ER -