WiGest demo: A ubiquitous WiFi-based gesture recognition system

Abstract

This demo presents WiGest: a system that leverages changes in WiFi signal strength to sense in-air hand gestures around the user's mobile device. Compared to related work, WiGest is unique in using standard WiFi equipment, with no modifications, and no training for gesture recognition. The system identifies different signal change primitives, from which we construct mutually independent gesture families. These families can be mapped to distinguishable application actions. We integrate WiGest with applications and demonstrate how WiGest enables users to use gestures and control different applications using off-the-shelf WiFi-enabled devices.