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Design and Analysis for Fall Detection System Simplification
Published on: April 6, 2020
Cheol-Hong Min1, Ahmed H Tewfik
1Department of Electrical and ComputerEngineering at the University of Minnesota – Twin Cities, Minneapolis, MN55455, USA. cmin@umn.edu
This study uses wearable sensors to detect stereotypical and self-injurious behaviors (SIB) in children with autism spectrum disorder (ASD). A semi-supervised method efficiently identifies new behavioral events with comparable accuracy to supervised methods.
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2026-06-19T13:36:44.369339+00:00