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Health Promotion Community Support for Vitality and Empathy: Visualize Quality of Motion (QoM)

  • Takuichi NishimuraEmail author
  • Zilu Liang
  • Satoshi Nishimura
  • Tomoka Nagao
  • Satoko Okubo
  • Yasuyuki Yoshida
  • Kazuya Imaizumi
  • Hisae Konosu
  • Hiroyasu Miwa
  • Kanako Nakajima
  • Ken Fukuda
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9745)

Abstract

Nowadays approximately 30 % of the population is suffering from lifestyle-related diseases in Japan. Both individuals and the government are becoming more and more health-conscious and are taking various measures to improve personal health and to prevent lifestyle-related diseases. Among all the measures, improving trunk stability has been given special attention as it is vital for improving physical strength, preventing injury, and extending healthy life span. Many traditional trunk strength evaluation methods were designed to assess core muscle mass. Less emphasis, if any, was given to the stability of the trunk, which could be represented by the smoothness of trunk movement. In this paper, 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, which gives higher score to users who rotate the shoulders or hips smoothly with axis fixed and high frequencies. This application can support trainers and coaches to visualize the smoothness of trunk movement and to increase training outcome, as well as support health promotion community to easily evaluate the effectiveness of group exercise.

Keywords

Health promotion Community support Quality of motion 

Notes

Acknowledgment

This study was partly supported by Japanese METI’s “Robotic Care Equipment Development and Introduction Project”,NEDO’s Artificial Intelligence Research Project 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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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Takuichi Nishimura
    • 1
    Email author
  • Zilu Liang
    • 1
  • Satoshi Nishimura
    • 1
  • Tomoka Nagao
    • 1
  • Satoko Okubo
    • 1
  • Yasuyuki Yoshida
    • 2
  • Kazuya Imaizumi
    • 3
  • Hisae Konosu
    • 4
  • Hiroyasu Miwa
    • 5
  • Kanako Nakajima
    • 5
  • Ken Fukuda
    • 1
  1. 1.National Institute of Advanced Industrial Science and TechnologyAI Research CenterTyotoJapan
  2. 2.Tokyo Institute of TechnologyGraduate School of Decision Science and TechnologyTokyoJapan
  3. 3.Faculty of HealthcareTokyo Healthcare UniversityTokyoJapan
  4. 4.Japan Dance Sport FederationTokyoJapan
  5. 5.Human Information Research InstituteNational Institute of Advanced Industrial Science and TechnologyTokyoJapan

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