Fall detection by egocentric vision

By detecting when someone falls, medical help can be offered quickly. For the elderly, but also for construction workers at a building site, wearing a sensor that gives off a signal when the wearer falls, can be a solution.  In his PhD research, Xueyi Wang studied fall detection from various angles. 

Wang worked with a camera that a person can wear on their body, and developed algorithms to detect a fall based on the images from the camera. He also investigated the possibilities for using event-based cameras: such cameras only register actively when something changes in the brightness of the image, which makes them more energy-efficient. 

Dissertation: https://hdl.handle.net/11370/1639b848-a9df-4348-b720-57ce2d75f7b5