FAAST: The flexible action and articulated skeleton toolkit

Proceedings - IEEE Virtual Reality

Volumn , Issue , 2011, Pages 247-248

  Suma, Evan A ^a   Lange, Belinda ^a   Rizzo, Albert ^a   Krum, David M ^a   Bolas, Mark ^a,b  

^a USC Institute for Creative Technologies ^*  (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

depth sensing cameras; gestures; middleware; video games

Indexed keywords

BODY POSE; COMPUTER VISION TECHNIQUES; CONFIGURABLE; DEPTH SENSORS; DEPTH-SENSING CAMERAS; FULL BODY; GESTURES; HEAD TRACKING; HUMAN ACTIONS; KEYBOARD COMMANDS; MICROSOFT; MOTION SENSORS; MOUSE CURSOR; NATURAL INTERACTIONS; RUNTIMES; SKELETON JOINTS; VIDEO GAME; VIDEO GAMES; VIRTUAL AVATAR; VIRTUAL MOUSE;

COMPUTER VISION; HUMAN COMPUTER INTERACTION; INTERACTIVE COMPUTER GRAPHICS; MIDDLEWARE; SENSORS;

VIRTUAL REALITY;

EID: 79956283303     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VR.2011.5759491     Document Type: Conference Paper

References (4)

1. http://projects.ict.usc.edu/mxr/faast/.
2. http://www.primesense.com.
3. L.-P. Morency, A. Rahimi, and T. Darrell. Adaptive view-based appearance model. In IEEE Computer Vision and Pattern Recognition, pages 803-810, 2003.
4. R. M. Taylor, T. C. Hudson, A. Seeger, H. Weber, J. Juliano, and A. T. Helser. VRPN: a device-independent, network-transparent VR peripheral system. In ACM Virtual Reality Software & Technology, pages 55-61, 2001. (Pubitemid 35004329)