TY - GEN
T1 - Hand Gesture Recognition Using Convolutional Neural Networks
AU - Lan, Shengchang
AU - He, Zonglong
AU - Chen, Weichu
AU - Chen, Lijia
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - This paper introduced a hand gesture recognition method based on convolutional neural networks (CNNs). The recognition scenario consisted in a three dimensional radar array to transmit and receive 24GHz continuous electromagnetic (EM) wave, and convert the scattered EM wave to the intermediate frequency (IF) signals. This paper used the the processed frequency spectrum as the input to the CNN. Then the CNN feature detection layer learned through data training, avoiding supervised feature extraction while learning implicitly from training data. It highlighted these features through convolution operating, pooling and a softmax function. Results showed that this system could achieve a high recognition accuracy rate higher than 96%.
AB - This paper introduced a hand gesture recognition method based on convolutional neural networks (CNNs). The recognition scenario consisted in a three dimensional radar array to transmit and receive 24GHz continuous electromagnetic (EM) wave, and convert the scattered EM wave to the intermediate frequency (IF) signals. This paper used the the processed frequency spectrum as the input to the CNN. Then the CNN feature detection layer learned through data training, avoiding supervised feature extraction while learning implicitly from training data. It highlighted these features through convolution operating, pooling and a softmax function. Results showed that this system could achieve a high recognition accuracy rate higher than 96%.
UR - https://www.scopus.com/pages/publications/85061622007
U2 - 10.1109/USNC-URSI.2018.8602809
DO - 10.1109/USNC-URSI.2018.8602809
M3 - 会议稿件
AN - SCOPUS:85061622007
T3 - 2018 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2018 - Proceedings
SP - 147
EP - 148
BT - 2018 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), USNC-URSI 2018
Y2 - 8 July 2018 through 13 July 2018
ER -