Radar gait recognition using Dual-branch Swin Transformer with Asymmetric Attention Fusion

Wentao He, Jianfeng Ren, Ruibin Bai, Xudong Jiang

Abstract: Highlights•The proposed method could well extract complementary information from both spectrograms and CVDs.•The proposed Swin-T could extract discriminant features with physical meanings.•The proposed asymmetric attention fusion could effectively combine features with known importance.•A large-scale benchmark dataset, NTU-RGR dataset, is developed to advance the radar gait recognition.