Difference between revisions of "EffortDetect"
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== Using position-based sensors == | == Using position-based sensors == | ||
LMA information such as Shape <span>(Swaminathan et al., 2009)</span>, Space (J. Rett, J. Dias, et al., 2008; J. Rett, Santos, et al., 2008; Jorg Rett & Jorge Dias, 2007a, 2007b), and Effort (Nakata, Mori, & Sato, 2002; Santos et al., 2009; L. Zhao, 2001; Liwei Zhao & Badler, 2005) have been inferred from movement data sensed by magnetic tracking and computer vision. | LMA information such as Shape <span>(Swaminathan et al., 2009)</span>, Space (J. Rett, J. Dias, et al., 2008; J. Rett, Santos, et al., 2008; Jorg Rett & Jorge Dias, 2007a, 2007b), and Effort (Nakata, Mori, & Sato, 2002; Santos et al., 2009; L. Zhao, 2001; Liwei Zhao & Badler, 2005) have been inferred from movement data sensed by magnetic tracking and computer vision. | ||
| + | == Using acceleration-based sensors == | ||
| + | Movement recognition using accelerometers is a research area among some of the partners of this research proposal. LMA recognition of has been applied to touch-based interfaces in interactive art (T. Schiphorst, Lovell, & Jaffe, 2002). A prototype for recognizing developed by the Institute for Advanced Computing Applications and Technologies at the University of Illinois and the University of Illinois Dance Department, with the expertise of movement analyst Sarah Hook from the Dance Department, and in collaboration with Dr. Thecla Schiphorst. | ||
=Wearable Accelerometers= | =Wearable Accelerometers= | ||
Revision as of 23:39, 14 November 2011
Contents
LMA Recognition
Using position-based sensors
LMA information such as Shape (Swaminathan et al., 2009), Space (J. Rett, J. Dias, et al., 2008; J. Rett, Santos, et al., 2008; Jorg Rett & Jorge Dias, 2007a, 2007b), and Effort (Nakata, Mori, & Sato, 2002; Santos et al., 2009; L. Zhao, 2001; Liwei Zhao & Badler, 2005) have been inferred from movement data sensed by magnetic tracking and computer vision.
Using acceleration-based sensors
Movement recognition using accelerometers is a research area among some of the partners of this research proposal. LMA recognition of has been applied to touch-based interfaces in interactive art (T. Schiphorst, Lovell, & Jaffe, 2002). A prototype for recognizing developed by the Institute for Advanced Computing Applications and Technologies at the University of Illinois and the University of Illinois Dance Department, with the expertise of movement analyst Sarah Hook from the Dance Department, and in collaboration with Dr. Thecla Schiphorst.
