TY - GEN
T1 - Micromotion Gesture Recognition Technology Based on Millimeter-wave Radar
AU - Li, Zhaoqi
AU - Gao, Fei
AU - Li, Yingchun
AU - Tang, Panpan
AU - Cai, Dayu
AU - Li, Zheyi
AU - Wang, Cong
AU - Nan, Jingchang
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Different from the traditional FMCW radar signal processing method, this paper mainly explores the application of the time-frequency analysis method of the reflected intermediate frequency of millimeter wave radar in fretting detection. The radar echo data are analyzed by FFT, wavelet transform and Hilbert yellow transform. This topic mainly uses human gesture targets as the micromotion feature to detect. Under the three designed gestures, the time-frequency analysis method proposed in this topic combined with a convolutional neural network achieves a high recognition success rate. The motion detection technology proposed in this paper can be applied to millimeter wave radar under THE FMCW system. It can detect and classify tiny motions under complex backgrounds and show good recognition ability under strong interference. It can be used in medical treatment, automobile and other fields to play the role of accurate identification.
AB - Different from the traditional FMCW radar signal processing method, this paper mainly explores the application of the time-frequency analysis method of the reflected intermediate frequency of millimeter wave radar in fretting detection. The radar echo data are analyzed by FFT, wavelet transform and Hilbert yellow transform. This topic mainly uses human gesture targets as the micromotion feature to detect. Under the three designed gestures, the time-frequency analysis method proposed in this topic combined with a convolutional neural network achieves a high recognition success rate. The motion detection technology proposed in this paper can be applied to millimeter wave radar under THE FMCW system. It can detect and classify tiny motions under complex backgrounds and show good recognition ability under strong interference. It can be used in medical treatment, automobile and other fields to play the role of accurate identification.
KW - Lenet-5
KW - continuous wave system
KW - time-frequency analysis
UR - https://www.scopus.com/pages/publications/85205687365
U2 - 10.1109/ICEICT61637.2024.10671018
DO - 10.1109/ICEICT61637.2024.10671018
M3 - 会议稿件
AN - SCOPUS:85205687365
T3 - 2024 IEEE 7th International Conference on Electronic Information and Communication Technology, ICEICT 2024
SP - 176
EP - 181
BT - 2024 IEEE 7th International Conference on Electronic Information and Communication Technology, ICEICT 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2024
Y2 - 31 July 2024 through 2 August 2024
ER -