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Title:

Sensor Failure Detection in Ambient Assisted Living Using Association Rule Mining: Special Issue Sensors Technology for Smart Homes

Document type:
Zeitschriftenaufsatz
Author(s):
ElHady, Nancy E.; Jonas, Stephan; Provost, Julien; Senner, Veit
Non-TUM Co-author(s):
nein
Cooperation:
-
Abstract:
Ambient Assisted Living (AAL) is becoming crucial to help governments face the consequences of the emerging ageing population. It aims to motivate independent living of older adults at their place of residence by monitoring their activities in an unobtrusive way. However, challenges are still faced to develop a practical AAL system. One of those challenges is detecting failures in non-intrusive sensors in the presence of the non-deterministic human behaviour. This paper proposes sensor failure d...     »
Intellectual Contribution:
Discipline-based Research
Journal title:
Sensors (Basel, Switzerland)
Journal listet in FT50 ranking:
nein
Year:
2020
Journal volume:
20
Year / month:
2020-11
Journal issue:
23
Pages contribution:
21
Covered by:
Scopus
Fulltext / DOI:
doi:10.3390/s20236760
Publisher:
MDPI
Publisher address:
Open Acces
Impact Factor:
3.275 (2019)
Submitted:
20.10.2020
Accepted:
22.11.2020
Date of publication:
26.11.2020
Judgement review:
0
Key publication:
Ja
Peer reviewed:
Ja
International:
Ja
Commissioned:
not commissioned
Professional Journal:
Ja
Technology:
Ja
Interdisciplinarity:
Ja
Mission statement:
;
Ethics and Sustainability:
Nein
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