Details

Autor(en) / Beteiligte

• Fan, Tenglong
• Ma, Chao
• Gu, Zhitao
• Lv, Qinyi
• Chen, Jialong
• Ye, Dexin
• Huangfu, Jiangtao
• Sun, Yongzhi
• Li, Changzhi
• Ran, Lixin

Titel

Wireless Hand Gesture Recognition Based on Continuous-Wave Doppler Radar Sensors

Ist Teil von

• IEEE transactions on microwave theory and techniques, 2016-11, Vol.64 (11), p.4012-4020

Ort / Verlag

New York: IEEE

Erscheinungsjahr

2016

Quelle

IEEE/IET Electronic Library (IEL)

Beschreibungen/Notizen

• 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.