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Updated: Jan 27, 2026

Design and Analysis for Fall Detection System Simplification
Published on: April 6, 2020
Evelien E Geertsema1, Gerhard H Visser2, Max A Viergever3
1Stichting Epilepsie Instellingen Nederland (SEIN), the Netherlands; Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands.
This study presents a robust, automated fall detection algorithm for remote monitoring. The system accurately identifies high-impact falls using video and audio analysis, improving safety for at-risk individuals.
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2026-06-19T13:38:11.303628+00:00