Video Surveillance for Behaviour Monitoring in Home Health Care
Ben Kröse, T.J.M. van Oosterhout, Gwenn Englebienne · UvA-DARE (University of Amsterdam) · 2014
As the number of elderly needing assistance in their daily life increases, sensing systems that monitor behaviour are becoming ever more important. The type of the behaviors that are to be monitored varies enormously, from nutritional intake, physical activities, cognitive activities, fall detection, wandering detection or sleep behaviour. Also the types of sensing systems vary accordingly. Wearable sensors are often used for measuring physical activities and for alarming. However, these sensors require special attention from the user, in terms of battery replacement and compliance. Ambient sensors are more reliable in that sense, but result in another trade-off. Simple sensors such as motion detectors and pressure mats are non-obtrusive but are less accurate in their measurements. Advanced imaging sensors give much more accurate data but come with the problem of privacy. In the Balance-IT project, we specifically studied the applicability of imaging sensors in health care applications, specifically fall detection, wandering detection, remote physical therapy and fitness.