Invited Talk by Shyam Gollakota
is an assistant professor in Computer Science and Engineering at the University of Washington. His research focuses on
designing and building novel wireless systems. His work has been awarded the ACM Doctoral Dissertation Award, the SIGCOMM Doctoral Dissertation Award, ACM SIGCOMM 2008 Best paper award for ZigZag decoding, ACM SIGCOMM 2011 Best Paper Award for securing medical implants, and AT&T Applied Security Award for password-free wireless security. His work has appeared in venues like BBC, Washington Post, Wired, NBC News, Slashdot, Forbes, and Network World. He received his Ph.D. in Electrical Engineering and Computer Science at MIT, and a bachelors degree in Computer Science and Engineering at IIT Madras.
The last two decades has seen an exponential proliferation of Wi-Fi devices. Wi-Fi capability today is incorporated in a diverse set of devices such as smart phones, gaming consoles, and video players. In this talk, I will show how to leverage the ubiquity of Wi-Fi to enable rich sensing capabilities such as gesture recognition. Specifically, I will present WiSee, a novel gesture recognition system that leverages wireless signals to enable whole-home sensing and recognition of human gestures. Since wireless signals do not require line-of-sight and can traverse through walls, WiSee can enable whole-home gesture recognition using few wireless sources. Further, it achieves this goal without requiring instrumentation of the human body with sensing devices. Our proof-of-concept implementation shows that WiSee can identify and classify a set of nine gestures with an average accuracy of 94%.