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Person Fall Detection Using Weakly Supervised Methods

Published • Jan 1, 2024
NobleIDNI7P68W85R50S97
Authors:
Kjartan Madsen
,
Zenjie Li
,
François Lauze

Abstract

Person falls can result in severe injuries or fatalities. An automatic fall detection system can potentially save lives by promptly alerting others. Existing fall detection methods that employ physical sensors like accelerometers have limitations. Current computer vision-based approaches, trained on...

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