Remote fall detection system for elderly people using non-invasive technologies

Mihai APOSTOL, Răzvan-Alexandru DUȚESCU
National Institute for Research and Development in Informatics – ICI Bucharest, Romania,

Abstract: Fall detection systems are designed to provide rapid response and assistance in the event of a fall. This article focuses on the design and implementation of the alert system for a fall detector. The system uses sensors to detect falling and quickly sends an alert to a designated caregiver or emergency services. The alert system is designed to be reliable, efficient and user-friendly, providing peace of mind for elderly or disabled individuals who are at high risk of falls. The application can manage hundreds of different sensor types and provides a user-friendly interface for configuring and managing the fall detection system, including setting up alert recipients, defining emergency protocols, individuals, and sensors and monitoring the status of the system.

Keywords: Alert systems, Eldercare, Django, Raspberry Pi, Fall detection.

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Mihai APOSTOL, Răzvan-Alexandru DUȚESCU, Remote fall detection system for elderly people using non-invasive technologies, Romanian Journal of Information Technology and Automatic Control, ISSN 1220-1758, vol. 33(1), pp. 33-42, 2023.