On multi-resident activity recognition in ambient smart-homes

Tran, Son N. (author)

Nguyen, Dung (author)

Ngo, Tung-Son (author)

Vu, Xuan-Son, 1988- (author): Umeå universitet,Institutionen för datavetenskap

Hoang, Long (author)

Zhang, Qing (author)

Karunanithi, Mohan (author)

(creator_code:org_t)

2019-11-12
2020
English.
In: Artificial Intelligence Review. - : Springer. - 0269-2821 .- 1573-7462. ; 53:6, s. 3929-3945

Related links:: http://arxiv.org/pdf...; show more...; https://urn.kb.se/re...; https://doi.org/10.1...; show less...

Abstract Subject headings

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.

By the author/editor: Tran, Son N.; Nguyen, Dung; Ngo, Tung-Son; Vu, Xuan-Son, 19 ...; Hoang, Long; Zhang, Qing; show more...; Karunanithi, Moh ...; show less...

About the subject

NATURAL SCIENCES: NATURAL SCIENCES; and Computer and Inf ...; and Computer Science ...

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