… For example, users can use gesture recognition [10, 11] to contactlessly interact with … [44]
proposed the use of deep convolutional neural networks (DCNNs) for human detection and …

… Hand gesture recognition based on microDoppler signatures has … Polarimetric micro-Doppler
analysis can also aid in sepa… with convolutional neural network,” IEEE Access, vol. 4, pp. …

… activity classification based on micro-Doppler signatures using deep convolutional neural
networks,” … Zubert, “Novel radar-based gesture recognition system using optimized CNN-LSTM …

… Infineon use a long recurrent all-convolution neural network … Here, we use the micro-Doppler
features as trigger which can … Sarabandi, “Polarimetric study of MMW imaging radars for …

… based on the acquisition of dynamic human hand information by radar sensors, and the
micro-Doppler … -Weil analysis, combined with deep learning technology to complete the gesture …

… convolutional auto-encoder, 94.2%. The present study performs micro-Doppler-based personal
identification … has performed personal identification using radar measurements of sitting …

… The convolutional neural networks method is exerted to identify human motion models. …
fusion based on trigonometry, and decision layer fusion based on micro-Doppler information. A bi…

… Dong, “Body gesture recognition based on polarimetric micro-doppler signature and using
deep convolutional neural network,” Progress In Electromagnetics Research, vol. 79, pp. 71–…

… target recognition based on micro-Doppler signature images. … 74] further designed a deep
convolutional denoising encoder (… [75] designed a dynamic gesture recognition system based …

… demonstrated that polarimetric MDI can be utilized in the micro-Doppler classification problem
… activity classification based on micro-Doppler signatures using deep convolutional neural …