Camera-based health monitoring

Authors: Wenjin Wang, Gerard de Haan Description: Contactless health monitoring is an emerging research topic in computer vision. Cameras have been used to measure physiological information (e.g. heart rate, breathing rate) and contextual information (e.g. discomfort, delirium) from human face and body for health care. In addition to the camera wavelength range, Radio Frequency (RF) based approaches have also been proposed for health monitoring, such as using Radar, WiFi, RFID, and acoustic signals to measure vital signs and activities (e.g. fall/fatigue detection). The new combination of camera and RF leads to the multi-modal sensing, which further improves the monitoring performance and understanding of human, such as WiFi-based cross-wall activity recognition. This tutorial will give an overview of the latest developments and applications in these three fields, with an in-depth introduction on the core technologies invented by the group.