Human Sensing

Human sensing research focuses on developing technologies to accurately and reliably perceive human activities and states, primarily for applications in healthcare, robotics, and autonomous systems. Current efforts concentrate on improving the robustness and efficiency of sensing modalities, including vision, acoustics, and tactile sensing, often employing deep learning models like neural networks and generative AI for data processing and feature extraction. These advancements are crucial for enhancing human-robot interaction safety, improving healthcare diagnostics through vocal biomarkers, and enabling more sophisticated applications in areas like autonomous driving and smart environments.