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Artificial Intelligence for Automated Human Health-care and Monitoring
Summary
Automated Human Health Monitoring based on Computer Vision has gained rapid scientific attention in the last decade, fueled by a large number of research articles and commercial systems based on set of features, extracted from face and gesture. Recently, the COVID-19 pandemic has pushed the need for virtual diagnosis and monitoring health protocols such as regulating social distancing, surveillance of individuals wearing masks in crowd, gauging body temperature and other physiological measurement from distance. Consequently, researchers from computer vision, as well as from the medical science community have given significant attention to goals ranging from patient analysis and monitoring to diagnostics. In addition, the recent pandemic scenario has claimed the need for health monitoring and surveillance of health protocols, which can be automated by various computer vision tools. This workshop presents a timely opportunity to discuss the state-of-the-art algorithms and the open challenges in the aforementioned research area.
Organizers: Abhijit Das, Srijan Das, Antitza Dantcheva, Hu Han, Francois Bremond, Xilin Chen