TY - GEN
T1 - Brain activity measurement based evaluation of active control of a treadmill
AU - Yokoo, Yuki
AU - Nakashima, Yasutaka
AU - Miura, Satoshi
AU - Ogaya, Yoshikazu
AU - Ando, Takeshi
AU - Kobayashi, Yo
AU - Fujie, Masakatsu G.
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84877820970
UR - https://www.scopus.com/pages/publications/84877820970#tab=citedBy
U2 - 10.1109/SCIS-ISIS.2012.6505107
DO - 10.1109/SCIS-ISIS.2012.6505107
M3 - Conference contribution
AN - SCOPUS:84877820970
SN - 9781467327428
T3 - 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
SP - 1201
EP - 1206
BT - 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
T2 - 2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012
Y2 - 20 November 2012 through 24 November 2012
ER -