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A Low Cost Solution of Hand Gesture Recognition Using a Three-Dimensional Radar Array

Shengchang LAN, Zonglong HE, Weichu CHEN, Kai YAO

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Summary :

In order to provide an alternative solution of human machine interfaces, this paper proposed to recognize 10 human hand gestures regularly used in the consumer electronics controlling scenarios based on a three-dimensional radar array. This radar array was composed of three low cost 24GHz K-band Doppler CW (Continuous Wave) miniature I/Q (In-phase and Quadrature) transceiver sensors perpendicularly mounted to each other. Temporal and spectral analysis was performed to extract magnitude and phase features from six channels of I/Q signals. Two classifiers were proposed to implement the recognition. Firstly, a decision tree classifier performed a fast responsive recognition by using the supervised thresholds. To improve the recognition robustness, this paper further studied the recognition using a two layer CNN (Convolutional Neural Network) classifier with the frequency spectra as the inputs. Finally, the paper demonstrated the experiments and analysed the performances of the radar array respectively. Results showed that the proposed system could reach a high recognition accurate rate higher than 92%.

Publication
IEICE TRANSACTIONS on Communications Vol.E102-B No.2 pp.233-240
Publication Date
2019/02/01
Publicized
2018/08/21
Online ISSN
1745-1345
DOI
10.1587/transcom.2018ISP0007
Type of Manuscript
Special Section PAPER (Special Section on Recent Progress in Antennas and Propagation in Conjunction with Main Topics of ISAP2017)
Category
Sensing

Authors

Shengchang LAN
  Harbin Institute of Technology
Zonglong HE
  Korea Advanced Institute of Science and Technology (KAIST)
Weichu CHEN
  Harbin Institute of Technology
Kai YAO
  Harbin Institute of Technology

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