TY - JOUR
T1 - Wireless Hand Gesture Recognition Based on Continuous-Wave Doppler Radar Sensors
AU - Fan, Tenglong
AU - Ma, Chao
AU - Gu, Zhitao
AU - Lv, Qinyi
AU - Chen, Jialong
AU - Ye, Dexin
AU - Huangfu, Jiangtao
AU - Sun, Yongzhi
AU - Li, Changzhi
AU - Ran, Lixin
N1 - Publisher Copyright:
� 2016 IEEE.
PY - 2016/11
Y1 - 2016/11
N2 - Short-range continuous-wave Doppler radar sensors have been mainly used for noncontact detection of various motions. In this paper, we investigate the feasibility to implement the function of a remote mouse, an input device of a computer, by recognizing human gestures based on a dual-channel Doppler radar sensor. Direct conversion architecture, symmetric subcarrier modulation, and bandpass sampling techniques are used to obtain a cost-effective solution. An arcsine algorithm and a motion imaging algorithm are proposed to linearly reconstruct the hand and finger motions in a 2-D plane from the demodulated Doppler phase shifts. Experimental results verified the effectiveness of the proposed architecture and algorithms. Different from the frequency-domain "micro-Doppler" approach, the proposed remote gesture recognition based on linear motion reconstruction is able to recognize definitive signatures for the corresponding motions, exhibiting promising potential in practical applications of human-computer interaction.
AB - Short-range continuous-wave Doppler radar sensors have been mainly used for noncontact detection of various motions. In this paper, we investigate the feasibility to implement the function of a remote mouse, an input device of a computer, by recognizing human gestures based on a dual-channel Doppler radar sensor. Direct conversion architecture, symmetric subcarrier modulation, and bandpass sampling techniques are used to obtain a cost-effective solution. An arcsine algorithm and a motion imaging algorithm are proposed to linearly reconstruct the hand and finger motions in a 2-D plane from the demodulated Doppler phase shifts. Experimental results verified the effectiveness of the proposed architecture and algorithms. Different from the frequency-domain "micro-Doppler" approach, the proposed remote gesture recognition based on linear motion reconstruction is able to recognize definitive signatures for the corresponding motions, exhibiting promising potential in practical applications of human-computer interaction.
KW - Doppler radar sensor
KW - hand gesture recognition (HGR)
KW - linear motion imaging
KW - mouse
KW - subcarrier modulation
UR - http://www.scopus.com/inward/record.url?scp=84992036449&partnerID=8YFLogxK
U2 - 10.1109/TMTT.2016.2610427
DO - 10.1109/TMTT.2016.2610427
M3 - Article
AN - SCOPUS:84992036449
VL - 64
SP - 4012
EP - 4020
JO - IEEE Transactions on Microwave Theory and Techniques
JF - IEEE Transactions on Microwave Theory and Techniques
SN - 0018-9480
IS - 11
M1 - 7592916
ER -