An Intelligent Human Support System Using Motion Patterns and Environment Information
Yihsin Ho, Kazumasa Murakami, Tomomi Shibano,
Eri Sato-Shimokawara, and Toru Yamaguchi
Faculty of System Design, Tokyo Metropolitan University, 6-6 Asahigaoka, Hino, Tokyo 191-0065, Japan
Developments in modern technology bring people increased convenience, but at the same time, problems associated with the usage of technology can irritate people. The authors have designed a system that supports users and does not require users to learn how to use it. The system concept was applied to the construction of a health care system. In this system, the first step is to recognize a user’s motion. The system detects human motion and applies the data to determine human motion patterns, thereby learning the user’s action by the motion patterns and environment information. After recognizing the user’s action, the action data is used to calculate the user’s health situation. This enables the system to provide support or give suggestions to the user. In this study, the authors used action data collected by human individuals and calculated the user’s health situation to determine the performance and usability of the health care system.
Eri Sato-Shimokawara, and Toru Yamaguchi, “An Intelligent Human Support System Using Motion Patterns and Environment Information,” J. Adv. Comput. Intell. Intell. Inform., Vol.15, No.6, pp. 723-730, 2011.
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