Paper Info
Title
Whole-home gesture recognition using wireless signals
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%.
Year
DOI
Venue
2013
10.1145/2500423.2500436
MobiCom
Keywords
Field
DocType
proof-of-concept prototype,human gesture,whole-home gesture recognition,wireless source,average accuracy,wireless signal,bedroom apartment,human body,office environment,novel gesture recognition system,gesture recognition
Bedroom,Wireless,Gesture,Computer science,Gesture recognition,Computer network,Speech recognition,Human–computer interaction,Human body,Traverse
Conference
Citations 
PageRank 
References 
274
9.73
17
Authors
4
Search Limit
100274
Name
Order
Citations
PageRank
Qifan Pu167828.81
Sidhant Gupta297252.23
Shyamnath Gollakota32788150.48
Shwetak N. Patel42967211.74