Evaluation of a device that promotes walking using a two-dimensional emotion map

Eiichiro Tanaka, Keiichi Muramatsu, Shozo Saegusa, Yusuke Osawa, Keiichi Watanuki, Louis Yuge

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We developed a device that promotes walking which uses a two-dimensional emotion map for the exercise of the elderly. This map was made with two axes, the horizontal axis was pleasant or unpleasant, with the vertical axis being arousal or not, same as the circumplex model of affect (J. A. Russell (1980)). This device has two means to promote walking. One is an ankle joint assistance system, which consists of a servo motor and a controller which can adjust the targeted walking cycle, the targeted angle of the ankle joint, and the sensitivity of the sensors which was attached under the sole. The other is a beat listening system. The beat listening system makes the beat sound, which is decided for the purpose of the user, and based on the walking cycle. The user listens to the beat sound using head phones. By combining and using these two means simultaneously, users can change their gait and emotion, therefore, they can continue to walk for a long time.

Original languageEnglish
Title of host publication2016 World Automation Congress, WAC 2016
PublisherIEEE Computer Society
Volume2016-October
ISBN (Electronic)9781889335513
DOIs
Publication statusPublished - 2016 Oct 4
Externally publishedYes
Event2016 World Automation Congress, WAC 2016 - Rio Grande, United States
Duration: 2016 Jul 312016 Aug 4

Other

Other2016 World Automation Congress, WAC 2016
CountryUnited States
CityRio Grande
Period16/7/3116/8/4

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Keywords

  • Emotion map
  • Gait
  • Walking assistance

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Tanaka, E., Muramatsu, K., Saegusa, S., Osawa, Y., Watanuki, K., & Yuge, L. (2016). Evaluation of a device that promotes walking using a two-dimensional emotion map. In 2016 World Automation Congress, WAC 2016 (Vol. 2016-October). [7582962] IEEE Computer Society. https://doi.org/10.1109/WAC.2016.7582962