Hand gesture recognition based on Wi-Fi chipsets

Hand gesture recognition (HGR) based on radar technology is becoming a hot topic recently. In this paper, we utilize a regular Wi-Fi transceiver chipset to construct a coherent radar sensor. The direct conversion and digital baseband signal processing technologies are used to detect hand motions with specific signatures. Experiments based on a dual-channel receiver aiming to detect two-dimensional motions are conducted, and the results show promising potentials in HGR applications.

[1]  Jiangtao Huangfu,et al.  Doppler bio-signal detection based time-domain hand gesture recognition , 2013, 2013 IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO).

[2]  Pavlo Molchanov,et al.  Short-range FMCW monopulse radar for hand-gesture sensing , 2015, 2015 IEEE Radar Conference (RadarCon).

[3]  Changzhi Li,et al.  High Dynamic-Range Motion Imaging Based on Linearized Doppler Radar Sensor , 2014, IEEE Transactions on Microwave Theory and Techniques.

[4]  Dipak Kumar Ghosh,et al.  On an algorithm for Vision-based hand gesture recognition , 2016, Signal Image Video Process..

[5]  F. Ahmad,et al.  Dual-Frequency Radars for Target Localization in Urban Sensing , 2009, IEEE Transactions on Aerospace and Electronic Systems.

[6]  Tzyy-Sheng Horng,et al.  Human gesture sensor using ambient wireless signals based on passive radar technology , 2015, 2015 IEEE MTT-S International Microwave Symposium.

[7]  Changzhi Li,et al.  1-D Microwave Imaging of Human Cardiac Motion: An Ab-Initio Investigation , 2013, IEEE Transactions on Microwave Theory and Techniques.