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Fall detection by egocentric vision

PhD ceremony:X. (Xueyi) Wang, PhD
When:March 04, 2024
Supervisors:G. (George) Azzopardi, Prof, D. (Dimka) Karastoyanova, Prof
Where:Academy building RUG
Faculty:Science and Engineering
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.