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On multi-resident a...
On multi-resident activity recognition in ambient smart-homes
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Tran, Son N. (författare)
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Nguyen, Dung (författare)
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Ngo, Tung-Son (författare)
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- Vu, Xuan-Son, 1988- (författare)
- Umeå universitet,Institutionen för datavetenskap
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Hoang, Long (författare)
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Zhang, Qing (författare)
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Karunanithi, Mohan (författare)
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(creator_code:org_t)
- 2019-11-12
- 2020
- Engelska.
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Ingår i: Artificial Intelligence Review. - : Springer. - 0269-2821 .- 1573-7462. ; 53:6, s. 3929-3945
- Relaterad länk:
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http://arxiv.org/pdf...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Increasing attention to the research on activity monitoring in smart homes has motivated the employment of ambient intelligence to reduce the deployment cost and solve the privacy issue. Several approaches have been proposed for multi-resident activity recognition, however, there still lacks a comprehensive benchmark for future research and practical selection of models. In this paper, we study different methods for multi-resident activity recognition and evaluate them on the same sets of data. In particular, we explore the effectiveness and efficiency of temporal learning algorithms using sequential data and non-temporal learning algorithms using temporally-manipulated features. In the experiments we compare and analyse the results of the studied methods using datasets from three smart homes.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Multiresident activity
- Pervasive computing
- Smart homes
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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