MatGAN: Sleep Posture Imaging using Millimeter-Wave Devices.

This work presents MatGAN, a system that uses millimeter-wave (mmWave) signals to capture high-quality images of a person's body while they sleep, even if they are covered under a blanket. Unlike existing sleep monitoring systems, MatGAN enables fine-grained monitoring and is privacy non-invasive, and can work under obstruction and low-light conditions, critical for sleep monitoring. MatGAN utilizes generative models to generate high-quality images from mmWave reflected signals that accurately represent sleep postures under a blanket. Early results indicate that MatGAN can effectively generate sleep posture images with a median IoU of 0.64.