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http://dx.doi.org/10.17661/jkiiect.2019.12.3.251

Study on the Hand Gesture Recognition System and Algorithm based on Millimeter Wave Radar  

Lee, Youngseok (Dept. of Eletronics, Incheon campus, Chungwoon University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.12, no.3, 2019 , pp. 251-256 More about this Journal
Abstract
In this paper we proposed system and algorithm to recognize hand gestures based on the millimeter wave that is in 65GHz bandwidth. The proposed system is composed of millimeter wave radar board, analog to data conversion and data capture board and notebook to perform gesture recognition algorithms. As feature vectors in proposed algorithm. we used global and local zernike moment descriptor which are robust to distort by rotation of scaling of 2D data. As Experimental result, performance of the proposed algorithm is evaluated and compared with those of algorithms using single global or local zernike descriptor as feature vectors. In analysis of confusion matrix of algorithms, the proposed algorithm shows the better performance in comparison of precision, accuracy and sensitivity, subsequently total performance index of our method is 95.6% comparing with another two mehods in 88.4% and 84%.
Keywords
Pattern recognition; Millimeter wave radar; Zernike moment; Hand gesture; Bag of features; Global and local descriptor;
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