Active learning with uncertainty sampling for large scale activity recognition in smart homes
Author:
Affiliation:
1. Boğaziçi University, Department of Computer Engineering, Istanbul, Turkey. E-mails: hande.alemdar@boun.edu.tr, ersoy@boun.edu.tr
2. Schibsted, Barcelona, Spain. E-mail: tim.vankasteren@schibsted.com
Publisher
IOS Press
Subject
Software
Reference33 articles.
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2. Wireless sensor networks for healthcare: A survey;Alemdar;Computer Networks,2010
3. H. Alemdar, H. Ertan, O.D. Incel and C. Ersoy, ARAS human activity datasets in multiple homes with multiple residents, in: 7th International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth ’13, 2013, pp. 232–235.
4. A. Ali Salah, T. Gevers, N. Sebe and A. Vinciarelli, Challenges of human behavior understanding, in: First International Conference on Human Behavior Understanding, HBU ’10, 2010, pp. 1–12.
5. S. Bagaveyev and D.J. Cook, Designing and evaluating active learning methods for activity recognition, in: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication, ACM, 2014, pp. 469–478.
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