Whole-home gesture recognition using wireless signals

TLDR

Since wireless signals do not require line‑of‑sight and can traverse walls, WiSee enables whole‑home gesture recognition with few wireless sources. This paper presents WiSee, a novel gesture recognition system that leverages wireless signals (e.g., Wi‑Fi) to enable whole‑home sensing and recognition of human gestures. We implement a proof‑of‑concept prototype of WiSee using USRP‑N210s and evaluate it in both an office environment and a two‑bedroom apartment. WiSee can identify and classify nine gestures with an average accuracy of 94 % and does so without requiring body‑mounted sensors.

Abstract

This paper presents WiSee, a novel gesture recognition system that leverages wireless signals (e.g., Wi-Fi) 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. We implement a proof-of-concept prototype of WiSee using USRP-N210s 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%.