Muscle - Computer interface


	Muscle - Computer interface

Fast T friend

11-1-2009 11:05 AM

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tags:

interface, computing, muscle, gesture

1 Comment |

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11-4-2009 5:10 AM

alistercock

Everything dynamic and very positively!
http://ezinearticles.com/?Acai-Force-Max-Review---How-Effective-is-This-Health-Supplement-For-Our-Body?&id=2852216

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<div style="margin: 12px 0px; font-family: arial; color: #333333; background: #ffffff; border: solid 4px #e5e5e5; width: 100%; clear: left;"><div class="CM_CTB_Content_Wrap" style="margin: 0px; padding: 0px;background-color: #ffffff;"><div style="border-bottom: solid 1px #dcdcdc; white-space: nowrap; margin-bottom: 8px; background-color: #eeeeee ;background-image: url(http://clipmarks.com/images/source-bg.gif); background-repeat: repeat-x; height: 24px; line-height: 24px; vertical-align: middle; padding-bottom: 4px; color: #666666; font-size: 10px;" ><a href="http://clipmarks.com/clip-to-blog/" title="see clips that are hot right now"><img src="http://content.clipmarks.com/blog_embed/0cd29248-423d-4da1-a0b7-206079c40cd7/2E0B8FD5-7141-40DF-91D3-78B33E6486FB/" alt="" width="19" height="19" border="0" style="vertical-align: middle; margin: 0px 4px; display: inline; border: none; float:none;" /></a>clipped from <a title="http://www.youtube.com/watch?v=6_7BzUED39A&feature=player_embedded" href="http://www.youtube.com/watch?v=6_7BzUED39A&feature=player_embedded" style="font-size: 11px;">www.youtube.com</a></div><blockquote style="text-align: left; padding: 0px 8px; margin: 4px 0px 8px 0px; background: transparent; border: none;" cite="http://www.youtube.com/watch?v=6_7BzUED39A&feature=player_embedded"><div align="center"><embed src="http://www.youtube.com/v/6_7BzUED39A&hl=en&fs=1&" height="329" width="400" wmode="opaque" quality="high" type="application/x-shockwave-flash"></embed></div></blockquote><div style="height: 2px; font-size: 2px; background: #dcdcdc; border-bottom: solid 1px #f5f5f5; margin: 2px 4px;"></div><blockquote style="text-align: left; padding: 0px 8px; margin: 4px 0px 8px 0px; background: transparent; border: none;" cite="http://www.youtube.com/watch?v=6_7BzUED39A&feature=player_embedded"><DIV>Previous work has demonstrated the viability of applying offline analysis to interpret forearm electromyography (EMG) and classify finger gestures on a physical surface. We extend those results to bring us closer to using musclecomputer interfaces for always-available input in real-world applications. We leverage existing taxonomies of natural human grips to develop a gesture set covering interaction in free space even when hands are busy with other objects. We present a system that classifies these gestures in real-time and we introduce a bi-manual paradigm that enables use in interactive systems. We report experimental results demonstrating four-finger classification accuracies averaging 79% for pinching, 85% while holding a travel mug, and 88% when carrying a weighted bag. We further show generalizability across different arm postures and explore the tradeoffs of providing real-time visual feedback.</DIV></blockquote></div><div style="margin: 0px 6px 6px 4px;"><table style="font-size: 11px;border-spacing: 0px;padding: 0px;" cellpadding="0" cellspacing="0" width="100%"><tr><td style="background:transparent;border-width:0px;padding:0px;">&nbsp;</td><td align="right" style="background:transparent;border-width:0px;padding:0px;width:107px" width="107"><a href="http://clipmarks.com/share/2E0B8FD5-7141-40DF-91D3-78B33E6486FB/blog/" title="blog or email this clip"><img src="http://content6.clipmarks.com/images/c2b-foot.png" border="0" alt="blog it" width="107" height="17" style="border-width:0px;padding:0px;margin:0px;" /></a></td></tr></table></div></div>

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