TY - GEN
T1 - Human Activity Recognition Using 3D Orthogonally-projected EfficientNet on Radar Time-Range-Doppler Signature
AU - Wang, Zeyu
AU - Yao, Chenglin
AU - Ren, Jianfeng
AU - Feng, Meili
AU - Jiang, Xudong
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In radar activity recognition, 2D signal representations such as spectrogram, cepstrum and cadence velocity diagram are often utilized, while range information is often neglected. In this work, we propose to utilize the 3D time-range-Doppler (TRD) representation, and design a 3D Orthogonally-Projected EfficientNet (3D-OPEN) to effectively capture the discriminant information embedded in the 3D TRD cubes for accurate classification. The proposed model aggregates the discriminant information from three orthogonal planes projected from the 3D feature space. It alleviates the difficulty of 3D CNNs in exploiting sparse semantic abstractions directly from the high-dimensional 3D representation. The proposed method is evaluated on the Millimeter-Wave Radar Walking Dataset. It significantly and consistently outperforms the state-of-the-art methods for radar activity recognition.
AB - In radar activity recognition, 2D signal representations such as spectrogram, cepstrum and cadence velocity diagram are often utilized, while range information is often neglected. In this work, we propose to utilize the 3D time-range-Doppler (TRD) representation, and design a 3D Orthogonally-Projected EfficientNet (3D-OPEN) to effectively capture the discriminant information embedded in the 3D TRD cubes for accurate classification. The proposed model aggregates the discriminant information from three orthogonal planes projected from the 3D feature space. It alleviates the difficulty of 3D CNNs in exploiting sparse semantic abstractions directly from the high-dimensional 3D representation. The proposed method is evaluated on the Millimeter-Wave Radar Walking Dataset. It significantly and consistently outperforms the state-of-the-art methods for radar activity recognition.
KW - 3D Orthogonally-projected EfficientNet
KW - FMCW radar
KW - human activity recognition
KW - time-range-doppler representation
UR - http://www.scopus.com/inward/record.url?scp=85136324237&partnerID=8YFLogxK
U2 - 10.1109/SEAI55746.2022.9832301
DO - 10.1109/SEAI55746.2022.9832301
M3 - Conference contribution
AN - SCOPUS:85136324237
T3 - 2022 2nd IEEE International Conference on Software Engineering and Artificial Intelligence, SEAI 2022
SP - 26
EP - 30
BT - 2022 2nd IEEE International Conference on Software Engineering and Artificial Intelligence, SEAI 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Software Engineering and Artificial Intelligence, SEAI 2022
Y2 - 10 June 2022 through 12 June 2022
ER -