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The Scientific World Journal
Volume 2014 (2014), Article ID 280207, 22 pages
Research Article

Development of Robust Behaviour Recognition for an at-Home Biomonitoring Robot with Assistance of Subject Localization and Enhanced Visual Tracking

1Graduate School of Engineering, Chiba University, Chiba 263-8522, Japan
2Research Center for Frontier Medical Engineering, Chiba University, Chiba 263-8522, Japan
3Department of Electronic Technology, University of Seville, 41012 Seville, Spain
4Institute of Robotics and Intelligent Information Processing, Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
5Department of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, China
6Spanish National Research Council, Bioengineering Group, 28500 Madrid, Spain

Received 20 August 2014; Accepted 4 November 2014; Published 21 December 2014

Academic Editor: Ji-Xiang Du

Copyright © 2014 Nevrez Imamoglu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Enrique Dorronzoro Zubiete, Keigo Nakahata, Nevrez Imamoglu, Masashi Sekine, Guanghao Sun, Isabel Gomez, and Wenwei Yu, “Evaluation of a Home Biomonitoring Autonomous Mobile Robot,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–8, 2016. View at Publisher · View at Google Scholar
  • Wenwei Yu, Keigo Nakahata, Guang Hao Sun, Akio Namiki, Sayuri Suwa, Mayuko Tsujimura, Le Xie, Jinwu Wang, and Shao Ying Huang, “Efficient Active Sensing with Categorized Further Explorations for a Home Behavior-Monitoring Robot,” Journal of Healthcare Engineering, vol. 2017, pp. 1–16, 2017. View at Publisher · View at Google Scholar