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Wireless Hand Gesture Recognition Based on Continuous-Wave Doppler Radar Sensors.
- Source :
-
IEEE Transactions on Microwave Theory & Techniques . Nov2016 Part 2, Vol. 64 Issue 11b, p4012-4020. 9p. - Publication Year :
- 2016
-
Abstract
- 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. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 00189480
- Volume :
- 64
- Issue :
- 11b
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Microwave Theory & Techniques
- Publication Type :
- Academic Journal
- Accession number :
- 119353282
- Full Text :
- https://doi.org/10.1109/TMTT.2016.2610427