Paper Info
Title
In-Air Gesture Interaction: Real Time Hand Posture Recognition Using Passive RFID Tags.
Abstract
In-air gesture interaction enables a natural communication between a man and a machine with its clear semantics and humane mode of operation. In this paper, we propose a real-time recognition system on multiple gestures in the air. It uses the commodity off-the-shelf (COTS) reader with three antennas to detect the radio frequency (RF) signals of the passive radio frequency identification (RFID) Tags attached to the fingers. The idea derives from the crucial insight that the sequential phase profile of the backscatter RF signals is a reliable and well-regulated indicator insinuating space-time situation of the tagged object, which presents a close interdependency with tag's movements and positions. The KL divergence is utilized to extract the dynamic gesture segment by confirming the endpoints of the data flow. To achieve the template matching and classification, we bring in the dynamic time warping (DTW) and k-nearest neighbors (KNN) for similarity scores calculation and appropriate gesture recognition. The experiment results show that the recognition rates for static and dynamic gestures can reach 85% and 90%, respectively. Moreover, it can maintain satisfying performance under different situations, such as diverse antenna-to-user distances and being hidden from view by nonconducting obstacles.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2928318
IEEE ACCESS
Keywords
DocType
Volume
Gesture recognition,radio frequency identification (RFID),phase
Journal
7
ISSN
Citations 
PageRank 
2169-3536
1
0.36
References 
Authors
0
4
Name
Order
Citations
PageRank
Kang Cheng110.36
Ning Ye2647.52
reza malekian327143.40
Ruchuan Wang441464.49