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

被引：126

作者：

Fan, Tenglong ^{[1
]}

Ma, Chao ^{[1
]}

Gu, Zhitao ^{[1
]}

Lv, Qinyi ^{[1
]}

Chen, Jialong ^{[1
]}

Ye, Dexin ^{[1
]}

Huangfu, Jiangtao ^{[1
]}

Sun, Yongzhi ^{[2
]}

Li, Changzhi ^{[3
]}

Ran, Lixin ^{[1
]}

机构：

[1] Zhejiang Univ, Lab Appl Res Electromagnet, Hangzhou 310027, Zhejiang, Peoples R China

[2] Nanjing Inst Elect Equipment, Nanjing 210007, Jiangsu, Peoples R China

[3] Texas Tech Univ, Dept Elect & Comp Engn, Lubbock, TX 79409 USA

来源：

IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES | 2016年 / 64卷 / 11期

关键词：

Doppler radar sensor; hand gesture recognition (HGR); linear motion imaging; mouse; subcarrier modulation; LOW-IF; MOTION; LOCALIZATION; ALGORITHM; BENEFITS;

D O I：

10.1109/TMTT.2016.2610427

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：4012 / 4020

页数：9

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