Title :
CSI-based device-free gesture detection
Author :
Hong Xiong;Fengyuan Gong;Lin Qu;Chenlin Du;Khaled Harfoush
Author_Institution :
North Carolina State University Raleigh, NC, USA
fDate :
12/1/2015 12:00:00 AM
Abstract :
Gesture detection is an important aspect of intelligent human-computer interactive systems. Recently, device-free gesture detection in wireless local area networks (WLANs) has been proposed to reduce the detection cost and complexity, whether using (1) the Received Signal Strength Indicator (RSSI), or (2) the more reliable Channel Side Information (CSI) . In this paper, we use CSI information extracted from packet transmissions to detect certain gestures and further distinguish between detected gestures by their strength. Experimental results establish the efficacy of the proposed techniques.
Keywords :
"Correlation","Foot","OFDM","Gesture recognition","Wireless LAN","Received signal strength indicator","Wireless communication"
Conference_Titel :
High-Capacity Optical Networks and Enabling/Emerging Technologies (HONET), 2015 12th International Conference on
DOI :
10.1109/HONET.2015.7395430