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Axis Visualizer: Enjoy Core Torsion and Be Healthy for Health Promotion Community Support

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 10091)

Abstract

In Japan, the ratio of people with lifestyle-related diseases has increased to approximately 30%. Individuals as well as the Nation are getting more and more health-conscious, and special attention has been made to body trunk because it is vital for injury prevention, physical strength, and beauty. Various training methods have been proposed to increase the muscle mass of body trunk. However, for sports that emphasize somatoform such as dance, the strength of the trunk is mainly decided by smooth use of the trunk rather than its muscle mass. In this paper, in order to evaluate the use of the trunk torsion movement, we proposed a new trunk torsion model for the purpose of evaluating two trunk torsion standard movements. We also developed a mobile application named “Axis Visualizer” based on the proposed trunk torsion model analyzing sensor data in the device. Axis Visualizer generates higher score when a user rotates the shoulders or hips smoothly with axis fixed and high frequencies. This application can support trainers and coaches to visualize the use of customers’ trunk and to increase the training effect.

Keywords

  • Movement modelling
  • Core strength
  • Health promotion

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  • DOI: 10.1007/978-3-319-50953-2_26
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Acknowledgment

This study was partly supported by Japanese METI’s “Robotic Care Equipment Development and Introduction Project”, “Future AI and Robot Technology Research and Development Project” commissioned by the New Energy and Industrial Technology Development Organization (NEDO) and JSPS KAKENHI Grant Numbers 24500676 and 25730190. We would also like to thank the member of the health promotion project in Odaiba and Tsukuba for their kind support.

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Correspondence to Takuichi Nishimura .

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Nishimura, T. et al. (2017). Axis Visualizer: Enjoy Core Torsion and Be Healthy for Health Promotion Community Support. In: Otake, M., Kurahashi, S., Ota, Y., Satoh, K., Bekki, D. (eds) New Frontiers in Artificial Intelligence. JSAI-isAI 2015. Lecture Notes in Computer Science(), vol 10091. Springer, Cham. https://doi.org/10.1007/978-3-319-50953-2_26

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  • DOI: https://doi.org/10.1007/978-3-319-50953-2_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50952-5

  • Online ISBN: 978-3-319-50953-2

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