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Conf Proc IEEE Eng Med Biol Soc. 2008;2008:1915-7. doi: 10.1109/IEMBS.2008.4649561.

Gesture recognition for interactive exercise programs.

Author information

1
Department of Biomedical Engineering, Oregon Health & Science University, Portland, Oregon 97239, USA. jperkins@bme.ogi.edu

Abstract

This paper describes a gesture recognition system which can recognize seated exercises that will be incorporated into an in-home automated interactive exercise program. Hidden Markov Models (HMMs) are used as a motion classifier, with motion features extracted from the grayscale images and the location of the subject's head estimated at initialization. An overall recognition rate of 94.1% is achieved.

PMID:
19163064
DOI:
10.1109/IEMBS.2008.4649561
[Indexed for MEDLINE]
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