Hidden Markov models applied onto gait classification

European Signal Processing Conference

Volumn , Issue , 2010, Pages 929-933

  Bonnet, Stéphane ^a   Jallon, Pierre ^a  

^a CEA LETI   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BODY-WORN SENSORS; CLASSIFICATION PERFORMANCE; DETECTION METHODS; FEATURE SETS; GAIT CLASSIFICATION; GAUSSIAN MIXTURES; TRAINING SEQUENCES;

FEATURE EXTRACTION; MAGNETOMETERS; SENSORS; SIGNAL PROCESSING; THREE DIMENSIONAL;

HIDDEN MARKOV MODELS;

EID: 84855910470     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. K. Aminian, B. Najafi, C. Bla, et al. Spatio-temporal parameters of gait measured by an ambulatory system using miniature gyroscopes. Journal of Biomechanics, 35(5):689-699, 2002.
2. O. Cappe, E. Moulines, and T. Ryden. Inference in Hidden Markov Models. Springer, 2005.
3. B. Coley, B. Najafi, A. Paraschiv-Ionescu, et al. Stair climbing detection during daily physical activity using a miniature gyroscope. Gait and Posture, 22(4):287- 294, 2005.
4. A. Dempster, N. Laird, and D. Rubin. Maximum likelihood from incomplete data via the em algorithm. Journal of the Royal Statistical Society, 1977.
5. M. Mathie, A. Coster, N. Lovell, et al. Accelerometry: Providing an integrated, practical method for long-term, ambulatory monitoring of human movement. Physiol. Meas., 25(2):R1-R20, 2004.
6. B. Najafi, K. Aminian, et al. Ambulatory system for human motion analysis using a kinematic sensor: Monitoring of daily physical activity in the elderly. IEEE Trans. on Biomed. Eng., 50(6):711-723, 2003.
7. M. Nyan, F. Tay, K. Seah, and Y. Sitoh. Classification of gait patterns in the time-frequency domain. Journal of Biomechanics, 39(14):2647-2656, 2006.
8. L. R. Rabiner. A tutorial on Hidden markov models and selected applications in speech recognition. Proc. of the IEEE, 77(2):257-286, Feb. 1989.
9. C. Vaughan, B. Davis, and J. O'Connor. Dynamics of human gait. Human Kinetics Publishers.
10. R. Williamson and B. Andrews. Gait event detection for FES using accelerometers and supervised machine learning. IEEE Trans. on Rehab. Eng., 8(3):312-319, 2000.