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Found 4 papers, 0 papers with code
Few-shot Human Motion Recognition through Multi-Aspect mmWave FMCW Radar Data
Radar human motion recognition methods based on deep learning models has been a heated spot of remote sensing in recent years, yet the existing methods are mostly radial-oriented.
Using Geometrical information to Measure the Vibration of A Swaying Millimeter-wave Radar
This paper presents two new, simple yet effective approaches to measure the vibration of a swaying millimeter-wave radar (mmRadar) utilizing geometrical information.
BERT: Accelerating Vital Signs Measurement for Bioradar with An Efficient Recursive Technique
Recent years have witnessed the great advance of bioradar system in smart sensing of vital signs (VS) for human healthcare monitoring.
Segmented convolutional gated recurrent neural networks for human activity recognition in ultra-wideband radar
In this work, we propose a neural network architecture, namely segmented convolutional gated recurrent neural network (SCGRNN), to recognize human activities based on micro-Doppler spectrograms measured by the ultra-wideband radar.
