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Radar gait recognition is robust to light variations and less infringement on privacy.
“Support vector machines for automated gait classification,”
Rezaul K Begg, Marimuthu Palaniswami, and Brendan Owen, · 2005
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“Evaluation of a micro-Doppler classification method on mm-wave data,”
Svante Björklund, Tommy Johansson, and Henrik Petersson, · 2012
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“Radar micro-Doppler feature extraction using the spectrogram and the cepstrogram,”
RIA Harmanny, JJM De Wit, and G Prémel Cabic, · 2014
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“Very deep convolutional networks for large-scale image recognition,”
Karen Simonyan and Andrew Zisserman, · 2014
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“Human detection and activity classification based on micro-Doppler signatures using deep convolutional neural networks,”
Youngwook Kim and Taesup Moon, · 2015
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“Siamese neural network based gait recognition for human identification,”
Cheng Zhang, Wu Liu, Huadong Ma, and Huiyuan Fu, · 2016
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“Centroid features for classification of armed/unarmed multiple personnel using multistatic human micro-Doppler,”
Francesco Fioranelli, Matthew Ritchie, and Hugh Griffiths, · 2016
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“Deep residual learning for image recognition,”
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, · 2016
Cited alongside, same era.
“Regularized 2-D complex-log spectral analysis and subspace reliability analysis of micro-Doppler signature for UAV detection,”
Jianfeng Ren and Xudong Jiang, · 2017
Cited alongside, same era.
“New analysis of radar micro-Doppler gait signatures for rehabilitation and assisted living,”
Ann-Kathrin Seifert, Moeness G Amin, and Abdelhak M Zoubir, · 2017
Cited alongside, same era.
“Classification of human gaits using interrupted radar measurements,”
WL van Rossum, L Anitori, P van Dorp, JJM de Wit, and RIA Harmanny, · 2017
Cited alongside, same era.
“Latern: Dynamic continuous hand gesture recognition using FMCW radar sensor,”
Zhenyuan Zhang, Zengshan Tian, and Mu Zhou, · 2018
Cited alongside, same era.
“Radar-based human gait recognition using dual-channel deep convolutional neural network,”
Xueru Bai, Ye Hui, Li Wang, and Feng Zhou, · 2019
Later among the works it cites.
“Attention-based two-stream convolutional networks for face spoofing detection,”
Haonan Chen, Guosheng Hu, Zhen Lei, Yaowu Chen, Neil M Robertson, and Stan Z Li, · 2019
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“A model-based gait recognition method with body pose and human prior knowledge,”
Rijun Liao, Shiqi Yu, Weizhi An, and Yongzhen Huang, · 2020
Later among the works it cites.
“An image is worth 16x16 words: Transformers for image recognition at scale,”
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, et al., · 2020
Later among the works it cites.
“Temporal convolutional neural networks for radar micro-Doppler based gait recognition,”
Pia Addabbo, Mario Luca Bernardi, Filippo Biondi, Marta Cimitile, Carmine Clemente, and Danilo Orlando, · 2021
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Hoang Thanh Le, Son Lam Phung, Abdesselam Bouzerdoum, and Fok Hing Chi Tivive, · 2018
Cited alongside, same era.
“Radar-ID: human identification based on radar micro-Doppler signatures using deep convolutional neural networks,”
Peibei Cao, Weijie Xia, Ming Ye, Jutong Zhang, and Jianjiang Zhou, · 2018
Cited alongside, same era.
“A three-step classification framework to handle complex data distribution for radar UAV detection,”
Jianfeng Ren and Xudong Jiang, · 2021
Closest in time.