Camera based non contact health sensing

The SARSCoV2 (COVID19) pandemic is transforming the face of healthcare around the world. One example of this transformation can be seen in the number of medical appointments held via teleconference, which has increased by more than an order of magnitude because of stayathome orders and greater burdens on healthcare systems. Experts suggest that particular attention should be given to cardiovascular and pulmonary protection during treatment for COVID19. However, in most telehealth scenarios physicians lack access to objective measurements of a patients condition because of the inability to capture vital signs. In this webinar, Microsoft Principal Researcher Daniel McDuff and University of Washington PhD student Xin Liu will present an overview of computer vision methods that leverage ordinary webcams to measure physiological signals (for example, peripheral blood flow, heart rate, respiration, and blood oxygenation) without contact with the body. Learn about some examples of stateoftheart neural mo