Millimeter Wave Radar

Millimeter-wave (mmWave) radar is a sensing technology used for a variety of applications, primarily focused on high-resolution imaging and object recognition in challenging environments. Current research emphasizes developing advanced deep learning models, including transformer networks and convolutional neural networks, to process the often sparse and noisy data produced by mmWave radar, enabling tasks such as human activity recognition, 3D body reconstruction, and even contactless ECG monitoring. This technology's robustness to adverse weather conditions and its privacy-preserving nature makes it increasingly significant for applications in robotics, healthcare monitoring, autonomous driving, and security.