articleJan 1, 2013Closed access

Whole-home gesture recognition using wireless signals

University of Washington

Indexed incrossref

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%.

Citation impact

1,107
total citations
FWCI
58.32
Percentile
100%
References
24
Citations per year

Authors

4

Topics & keywords

Keywords
  • Gesture
  • Gesture recognition
  • Computer science
  • Wireless
  • Universal Software Radio Peripheral
  • Speech recognition
  • Artificial intelligence
  • Computer vision
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