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dc.contributor.authorFrey, William
dc.contributor.authorZyda, Michael
dc.contributor.authorMcGhee, Robert
dc.contributor.authorCockayne, Bill
dc.date.accessioned2014-04-29T16:45:31Z
dc.date.available2014-04-29T16:45:31Z
dc.date.issued1995
dc.identifier.urihttp://hdl.handle.net/10945/41045
dc.descriptionIncludes paper and supplement.en_US
dc.description.abstractHuman body tracking is a very important issue in synthetic environments, pervading every application. The repercussions of not providing adequate methods of motion capture for the user's head are often severe, ranging from user disorientation to simulator sickness. The repercussions of not providing adequate motion capture for the rest of the user's body, while not as severe, are often as distracting. If the user is to interact in a natural way with a synthetic environment, the interface must be intuitive, accurate, responsive and transparent. There are many off-the-shelf motion capture systems available, employing a wide variety of cutting-edge technologies. However, they all have unique problems which render them either unsuitable for real-time applications or unsuitable for tracking the human body. This paper addresses the current methods of synthetic environment motion capture and evaluates their effectiveness when applied to real-time human body tracking.en_US
dc.publisherMonterey, California: Naval Postgraduate School.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleOff-the-Shelf, Real-Time Human Body Motion Capture for Synthetic Environments (with Supplement)en_US
dc.typeArticleen_US
dc.contributor.departmentComputer Science (CS)


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