JOURNAL ARTICLE

Whole-home gesture recognition using wireless signals (demo)

Qifan PuSiyu JiangShyamnath Gollakota

Year: 2013 Journal:   ACM SIGCOMM Computer Communication Review Vol: 43 (4)Pages: 485-486   Publisher: Association for Computing Machinery

Abstract

This demo presents WiSee, a novel human-computer interaction system that leverages wireless networks (e.g., Wi-Fi), to enable sensing and recognition of human gestures and motion. Since wire- less signals do not require line-of-sight and can traverse through walls, WiSee enables novel human-computer interfaces for remote device control and building automation. Further, it achieves this goal without requiring instrumentation of the human body with sensing devices. We integrate WiSee with applications and demonstrate how WiSee enables users to use gestures and control applications including music players and gaming systems. Specifically, our demo will allow SIGCOMM attendees to control a music player and a lighting control device using gestures.

Keywords:
Computer science Gesture Gesture recognition Wireless Human–computer interaction Traverse Wireless sensor network Automation Instrumentation (computer programming) Artificial intelligence Telecommunications Computer network Operating system

Metrics

47
Cited By
2.69
FWCI (Field Weighted Citation Impact)
5
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Indoor and Outdoor Localization Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Hand Gesture Recognition Systems
Physical Sciences →  Computer Science →  Human-Computer Interaction
Context-Aware Activity Recognition Systems
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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