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

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

Research output: Contribution to journalArticlepeer-review

75 Scopus citations


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.

Original languageEnglish
Article number7592916
Pages (from-to)4012-4020
Number of pages9
JournalIEEE Transactions on Microwave Theory and Techniques
Issue number11
StatePublished - Nov 2016


  • Doppler radar sensor
  • hand gesture recognition (HGR)
  • linear motion imaging
  • mouse
  • subcarrier modulation


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