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Most Influential MOBICOM 2013 Paper · 2026-03 edition

Whole-home Gesture Recognition Using Wireless Signals

Qifan Pu; Sidhant Gupta; Shyamnath Gollakota; Shwetak Patel

Venue
International Conference on Mobile Computing and Networking (MOBICOM) 2013
Recognition
Most Influential MOBICOM 2013 Paper (Rank No. 1)
Edition
2026-03
Impact factor
10
Certificate ID
f884fca49d52c68d

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%.

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