P. Lukowicz, J. Ward, H. Junker, M. Stäger, G. Tröster, et al.  Home/Search
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Abstract: 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... (Update)
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BibTeX entry: (Update)
P.Lukowicz,J.Ward,H.Junker,M.Stager, G. Troster, A. Atrash, and T. Starner. Recognizing workshop activity using body worn microphones and accelerometers. Technical Report GIT-GVU-03-32, Georgia Institute of Technology, 2003. http://citeseer.ist.psu.edu/lukowicz03recognizing.html More
@misc{ lukowicz03recognizing,
author = "P. Lukowicz and J. Ward and H. Junker and M. Stager and G. Troster and
A. Atrash and T. Starner",
title = "Recognizing workshop activity using body worn microphones and accelerometers",
text = "P.Lukowicz,J.Ward,H.Junker,M.Stager, G. Troster, A. Atrash, and T. Starner.
Recognizing workshop activity using body worn microphones and accelerometers.
Technical Report GIT-GVU-03-32, Georgia Institute of Technology, 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/lukowicz03recognizing.html" }
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