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On multi-resident activity recognition in ambient smart-homes
journal contribution
posted on 2023-05-20, 12:00 authored by Son TranSon Tran, Nguyen, D, Ngo, TS, Vu, XS, Hoang, L, Zhang, Q, Karunanithi, MIncreasing 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.
History
Publication title
Artificial Intelligence ReviewPagination
1-17ISSN
0269-2821Department/School
School of Information and Communication TechnologyPublisher
Kluwer Academic PublPlace of publication
Van Godewijckstraat 30, Dordrecht, Netherlands, 3311 GzRights statement
Copyright 2019 Springer Nature B.V.Repository Status
- Restricted