Self-Conscious Support on Walking Posture Through Mobile Avatar: Focusing on Women’s Frailty Prevention Toward Old Age

  • Masayuki AnekawaEmail author
  • Atsushi Hiyama
  • Sachiko Kamiyama
  • Michitaka Hirose
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9739)


An aging population in a society leads to higher expenditure on social security and medical care. To reduce the cost of treatment, it is essential that preventing frailty of nearly aged women by undertaking habitual physical exercise such as walking, since 70 % of national nursing expense is for this cohort. However, if walking activity has performed with bad posture, it will result in musculoskeletal disease. Therefore, a system that supports to correct walking activity is required. In this research, we propose a system that promotes each users walking habits, including daily steps and walking posture. The result of the experiment suggested that Avatar-based gait representation improves the self-consciousness of users’ walking posture significantly rather than number-based representation.


Avatar Elderly people Gait Walk habit Smart phone 



This material is based on work funded by S-innovation (Strategic Promotion of Innovative Research and Development) funding under Industry Academia Collaborative R&D Programs administered by the Japan Science and Technology Agency (JST). We are also grateful to Kazuo Kumai, Motohiro Senga and staffs of the health department of Shimonseki city office for their participation in this project.


  1. 1.
    Government Of Japan Cabinet Office. Annual report on the aging society (2014)Google Scholar
  2. 2.
    Kaneko, R.: Population projections for Japan: 2006–2055 outline of results, methods, and assumptions ryuichi kaneko, akira ishikawa, futoshi ishii, tsukasa sasai, miho iwasawa, fusami mita, and rie moriizumi. Japan. J. Popul. 6(1) (2008)Google Scholar
  3. 3.
    Friedman, H.S., Martin, L.R.: The Longevity Project: Surprising Discoveries for Health and Long Life from the Landmark Eight-Decade Study. Hudson Street Press, New York (2011)Google Scholar
  4. 4.
    Kojima, T., Hiyama, A., Miura, T.: Gait analysis and visualization of seniors in virtual environment. In: Proceedings of the Virtual Reality Society of Japan, Annual Conference, vol. 19, pp. 278–281, September 2014 (In Japanese)Google Scholar
  5. 5.
    Nawahdah, M., Inoue, T.: Motion adaptive orientation adjustment of a virtual teacher to support physical task learning. Inf. Media Technol. 7(1), 506–515 (2012)Google Scholar
  6. 6.
    Kobayashi, M., Arita, S., Itoko, T., Saito, S., Takagi, H.: Motivating multi-generational crowd workers in social-purpose work. In: Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & #38; Social Computing (CSCW 2015), pp. 1813–1824, New York, NY, USA. ACM (2015)Google Scholar
  7. 7.
    Seyama, J., Nagayama, R.S.: The uncanny valley: effect of realism on the impression of artificial human faces. Presence Teleoperators Virtual Environ. 16(4), 337–351 (2007)CrossRefGoogle Scholar
  8. 8.
    Mori, M., MacDorman, K.F., Kageki, N.: The uncanny valley [from the field]: robotics & automation. IEEE Mag. 19(2), 98–100 (2012)Google Scholar
  9. 9.
    Heike, M., Kawasaki, H., Tanaka, T., Fujita, K.: Study on deformation rule of personalized-avatar for producing sense of affinity. Trans. Hum. Interface Soc. 13(3), 243–254 (2011)Google Scholar
  10. 10.
    Banks, J., Bowman, N.D.: Close intimate playthings? understanding player-avatar relationships as a function of attachment, agency, and intimacy. In: Selected Papers of Internet Research, vol. 3 (2013)Google Scholar
  11. 11.
    Johnsen, K., Ahn, S.J., Moore, J., Brown, S., Robertson, T.P., Marable, A., Basu, A.: Mixed reality virtual pets to reduce childhood obesity. IEEE Trans. Vis. Comput. Graph. 20(4), 523–530 (2014)CrossRefGoogle Scholar
  12. 12.
    Yamada, H., Hiyama, A., Miura, T.: Gait analysis of elderly with wearable devices. In: Proceedings of the Virtual Reality Society of Japan, Annual Conference, vol. 19, pp. 632–635, September 2014 (In Japanese)Google Scholar
  13. 13.
    Tomoyuki, A., Yoshitaka, S., Shuichiro, W., Hirosi, S.: The relationship between the stride time variability, motor ability and fall in community-dwelling elderly people. J. Japan. Phys. Ther. Assoc. 38(3), 165–172 (2011)Google Scholar
  14. 14.
    Kuwae, Y., Miyoshi, H., Sekine, M., Tsuji, M., Fujimoto, T., Tamura, T.: Verification of low-frequency exercise of requiring support–by monitoring in wearable motion sensors. Japan. Soc. Med. Biol. Eng. 50(6), 535–542 (2012)Google Scholar
  15. 15.
  16. 16.

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Masayuki Anekawa
    • 1
    Email author
  • Atsushi Hiyama
    • 2
  • Sachiko Kamiyama
    • 3
  • Michitaka Hirose
    • 1
  1. 1.Department of Mechano-InformaticsThe University of TokyoTokyoJapan
  2. 2.Graduate School of Information Science and TechnologyThe University of TokyoTokyoJapan
  3. 3.The KAITEKI Institute, Inc.TokyoJapan

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