Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

5-2017

Abstract

In-air interaction acts as a key enabler for ambient intelligence and augmented reality. As an increasing popular example, exergames, and the alike gesture recognition applications, have attracted extensive research in designing accurate, pervasive and low-cost user interfaces. Recent advances in wireless sensing show promise for a ubiquitous gesture-based interaction interface with Wi-Fi. In this work, we extract complete information of motion-induced Doppler shifts with only commodity Wi-Fi. The key insight is to harness antenna diversity to carefully eliminate random phase shifts while retaining relevant Doppler shifts. We further correlate Doppler shifts with motion directions, and propose a light-weight pipeline to detect, segment, and recognize motions without training. On this basis, we present WiDance, a Wi-Fi-based user interface, which we utilize to design and prototype a contactless dance-pad exergame. Experimental results in typical indoor environment demonstrate a superior performance with an accuracy of 92%, remarkably outperforming prior approaches.

Keywords

Motion Direction Recognition, Wireless Sensing, Off-the-shelf Wi-Fi, Exergame

Discipline

Digital Communications and Networking | Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, Denver, USA, May 6-11

First Page

1961

Last Page

1972

ISBN

9781450346566

Identifier

10.1145/3025453.3025678

Publisher

ACM

City or Country

Denver, USA

Additional URL

https://doi.org/10.1145/3025453.3025678

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