WiSee is the first wireless system that can identify gestures in line-of-sight, non-line-of-sight, and through-the-wall scenarios. Unlike other gesture recognition systems like Kinect, Leap Motion or MYO, WiSee requires neither an infrastructure of cameras nor user instrumentation of devices. We implement a proof-of-concept prototype of WiSee and evaluate it in both an office environment and a two-bedroom apartment. Our results show that WiSee can identify and classify a set of nine gestures with an average accuracy of 94%.
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Qifan PuSidhant Gupta
Shyam Gollakota
Shwetak Patel
Publication
Whole-Home Gesture Recognition Using Wireless Signals [paper]
Qifan Pu, Sidhant Gupta, Shyam Gollakota, Shwetak PatelTo appear, at The 19th Annual International Conference on Mobile Computing and Networking (Mobicom'13)
REFERENCE
http://www.washington.edu/news/2013/06/04/wi-fi-signals-enable-gesture-recognition-throughout-entire-home/
http://wisee.cs.washington.edu/
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