A surveillance algorithm for fall detection and initiation of an e-mail
Tarih ve Saat
8 Aralık 2014 - 14:00
Abstract: Demographic patterns are demonstrating that the world is a maturing society. Advances in medical treatments extend people’s life spans. Elderly care is a burden on families’and states’ budget. Moreover, elder people want to age in their place without the breach of their privacy and losing independency. Thus this thesis aims to help people age in their place by providing a fall detection via image processing.
Keywords: assisted living, fall detection, detection algorithm
Biography: Elifcan Yaşa received her BS degree in Industrial Engineering at Doğuş University. Currently, she is a M.Sc. student at Yeditepe University Systems Engineering program. Her main research interests are image processing and assisted living.