Abstract
In this research, we propose an exercise support robotic system. The system collects human daily life activity data by motion detection as a part of big data, and analyzes it for providing better service. The Normal exercise tools such as pedometer need to be carried while exercising. However, sometimes people forget to take such exercise sensor, when it happened many times, people will feel hard to continue exercise regularly. Thus, the proposed system focuses on user’s behavior when exercise by Kinect, and based on it to recommends user a suitable exercise pattern through an interaction robot. Firstly, this paper discusses the user’s exercise habits and their weariness in exercise, secondly, describes the proposed system approach, the method of detecting human motion, and maintaining exercise motivation. Finally, the experiment and the results are shown.
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References
2010 National Health and Nutrition Survey Japan, Ministry of Health, Labour and Welfare, http://www.mhlw.go.jp/stf/houdou/2r98520000020qbb.html (in Japanese)
Shibano, T., Murakami, K., Fujimoto, Y., Yamaguchi, T.: Support system for mental and physical functions by utterance and synchronous action using a robot. In: SICE System Integration Division Annual Conference (SI 2009), pp. 1193–1194 (2009)
Shibano, T., Ho, Y., Kono, Y., Fujimoto, Y., Yamaguchi, T.: Daily Support System for Care Prevention by Using Interaction Monitoring Robot. In: The 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010), Taipei, Taiwan, pp. 3477–3482 (October 2010)
Sato-Shimokawara, E., Murakami, K., Ho, Y., Ishiguro, S., Yamaguchi, T.: Clustering action data based on amount of exercise for use-model based health care support. In: The 2012 IEEE World Congress on Computational Intelligence (IEEE WCCI 2012), June 10-15, pp. 791–803. Brisbane Convention & Exhibition Centre, Brisbane (2012)
Ministry of Health Labour and Welfare Japan, “Exercise guidelines for health promotion 2006-Prevention lifestyle related disease (Exercise Guide 2006)” (in Japanese), http://www.mhlw.go.jp/bunya/kenkou/undou01/pdf/data.pdf
Zhen, J., Aoki, H., Sato-Shimokawara, E., Yamaguchi, T.: Sino-Japanese Culture Differences in Interaction Robot System. In: The Fifth Symposium on System Integration (SII 2012), Kyushu University, Fukuoka, Japan, December 16-18, pp. 295–300 (2012)
Ho, Y., Sato-Shimokawara, E., Yamaguchi, T., Tagawa, N.: Interaction Robot System Considering Culture Differences. In: 2013 IEEE Workshop on Advanced Robotics and its Social Impatcs, ARSO 2013, FrC1.6 (November 2013)
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Sato-Shimokawara, E., Ho, Y., Yamaguchi, T., Tagawa, N. (2014). Exercise Support Robotic System by Using Motion Detection. In: Wang, L.SL., June, J.J., Lee, CH., Okuhara, K., Yang, HC. (eds) Multidisciplinary Social Networks Research. MISNC 2014. Communications in Computer and Information Science, vol 473. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45071-0_21
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DOI: https://doi.org/10.1007/978-3-662-45071-0_21
Publisher Name: Springer, Berlin, Heidelberg
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