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Updated: Nov 28, 2025

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Sensor Failure Detection in Ambient Assisted Living Using Association Rule Mining.

Nancy E ElHady¹, Stephan Jonas², Julien Provost¹

¹Department of Mechanical Engineering, Technical University of Munich, 85748 Garching, Germany.

Sensors (Basel, Switzerland)

|December 1, 2020

Summary

This study introduces a novel sensor failure detection system for Ambient Assisted Living (AAL) environments. The method effectively identifies faulty sensors using association rule mining, enhancing the reliability of AAL systems for older adults.

Failed At:

2026-06-19T13:38:48.984557+00:00

Keywords:

ambient assisted living binary sensors enhanced living environments event-driven sensors fault detection fault isolation non-intrusive sensors sensor failure smart home

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