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ToolsBenmansour, A., Bouchachia, A. and Feham, M., 2015. Multioccupant Activity Recognition in Pervasive Smart Home Environments. ACM Computing Surveys, 48 (3), 34.
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DOI: 10.1145/2835372
Abstract
been the center of lot of research for many years now. The aim is to recognize the sequence of actions by a specific person using sensor readings. Most of the research has been devoted to activity recognition of single occupants in the environment. However, living environments are usually inhabited by more than one person and possibly with pets. Hence, human activity recognition in the context of multi-occupancy is more general, but also more challenging. The difficulty comes from mainly two aspects: resident identification, known as data association, and diversity of human activities. The present survey paper provides an overview of existing approaches and current practices for activity recognition in multi-occupant smart homes. It presents the latest developments and highlights the open issues in this field.
| Item Type: | Article |
|---|---|
| ISSN: | 1557-7341 |
| Uncontrolled Keywords: | Human activity recognition ; smart homes ; pervasive environments ; multiple-occupancy |
| Group: | Faculty of Science & Technology |
| ID Code: | 23055 |
| Deposited By: | Symplectic RT2 |
| Deposited On: | 06 Jan 2016 12:11 |
| Last Modified: | 14 Mar 2022 13:54 |
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Multi-Occupant Activity Recognition in Pervasive Smart Home Environments. (deposited 21 Oct 2015 14:11)
- Multioccupant Activity Recognition in Pervasive Smart Home Environments. (deposited 06 Jan 2016 12:11) [Currently Displayed]
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