Brain activity measurement based evaluation of active control of a treadmill

Yuki Yokoo, Yasutaka Nakashima, Satoshi Miura, Yoshikazu Ogaya, Takeshi Ando, Yo Kobayashi, Masakatsu G. Fujie

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

Abstract

Many devices that offer lifestyle support, especially movement support, for the elderly have been recently developed. We have developed a new personal mobility device, Tread-Walk (TW), which is a walking support system for the elderly. Here we proposed a new control of a treadmill that enables users to walk with the same feeling as in normal level-ground walking. In this paper, we evaluated our proposed control method using a brain activity measurement, namely near-infrared spectroscopy. In particular, we quantitatively evaluated the operability, which has only been qualitatively evaluated previously. Results showed a notable tendency that brain activity depends on the accuracy of our proposed treadmill control. Then a possibility that a walking state could be evaluated from a brain activity was suggested. Our study validates the active velocity control of a treadmill according to brain activity measurement.

Original languageEnglish
Title of host publication6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
Pages1201-1206
Number of pages6
DOIs
Publication statusPublished - Dec 1 2012
Externally publishedYes
Event2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012 - Kobe, Japan
Duration: Nov 20 2012Nov 24 2012

Publication series

Name6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012

Other

Other2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012
CountryJapan
CityKobe
Period11/20/1211/24/12

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software

Cite this

Yokoo, Y., Nakashima, Y., Miura, S., Ogaya, Y., Ando, T., Kobayashi, Y., & Fujie, M. G. (2012). Brain activity measurement based evaluation of active control of a treadmill. In 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012 (pp. 1201-1206). [6505107] (6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012). https://doi.org/10.1109/SCIS-ISIS.2012.6505107