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

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作者： Nancy E,ElHady ^[1] ; Stephan,Jonas ^[2] ; Julien,Provost ^[1] ; Veit,Senner ^[1]

作者单位： Department of Mechanical Engineering, Technical University of Munich, 85748 Garching, Germany. ^[1] Department of Informatics, Technical University of Munich, 85748 Garching, Germany. ^[2]

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

主题词意外跌倒(Accidental Falls);老年人(Aged);数据挖掘(Data Mining);人类(Humans);独立生活(Independent Living);监测, 生理学(Monitoring, Physiologic)

DOI 10.3390/s20236760

PMID 33256000

发布时间 2021-03-04

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Sensors (Basel, Switzerland)

2020年20卷23期

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

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