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PERVASIVE
2004
Springer

Recognizing Workshop Activity Using Body Worn Microphones and Accelerometers

11 years 6 months ago
Recognizing Workshop Activity Using Body Worn Microphones and Accelerometers
Most gesture recognition systems analyze gestures intended for communication (e.g. sign language) or for command (e.g. navigation in a virtual world). We attempt instead to recognize gestures made in the course of performing everyday work activities. Specifically, we examine activities in a wood shop, both in isolation as well as in the context of a simulated assembly task. We apply linear discriminant analysis (LDA) and hidden Markov model (HMM) techniques to features derived from body-worn accelerometers and microphones. The resulting system can successfully segment and identify most shop activities with zero false positives and 83.5% accuracy.
Paul Lukowicz, Jamie A. Ward, Holger Junker, Mathi
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where PERVASIVE
Authors Paul Lukowicz, Jamie A. Ward, Holger Junker, Mathias Stäger, Gerhard Tröster, Amin Atrash, Thad Starner
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