Presentation 2020-03-05
Walking Balance Evaluation Based on Load Sensor of Walking Support Robot
Naoto Okada, Mayu Yokoya, Kazunori Yamada, Naoto Yoshida, Yu Enokibori, Kenji Mase,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) With the increasing of elderly population, it is desired that elderly people can send healthy longevity lifestyle. Working on fall prevention through balance capability measurement is particularly important for the elderly because they are at high risk of falls due to frail. In this study, we examine a method to estimate the user’s balance capability from data measured by a push-type walking support robot. The user’s balance capability was indexed by applying a method used in the walking analysis with IMU on to the handle load data of the walking support robot. It was examined whether the index calculated from walking data is e?ective for balance capability evaluation by correlation analysis of the index and the physical ability measurement score. The results show that the left-right step symmetricity in the vertical force to ground is highly correlated to the physical muscle strength and balance ability. It is also suggested the stability over step cycle is moderately correlated to the physical muscle strength. These results indicate that the user’s physical ability can be evaluated from the load on the handle measured by the walking support robot.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) walking support robot / gait analysis / balance capability
Paper # IMQ2019-51,IE2019-133,MVE2019-72
Date of Issue 2020-02-27 (IMQ, IE, MVE)

Conference Information
Committee IE / IMQ / MVE / CQ
Conference Date 2020/3/5(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Kyushu Institute of Technology
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Hideaki Kimata(NTT) / Toshiya Nakaguchi(Chiba Univ.) / Kenji Mase(Nagoya Univ.) / Hideyuki Shimonishi(NEC)
Vice Chair Kazuya Kodama(NII) / Keita Takahashi(Nagoya Univ.) / Mitsuru Maeda(Canon) / Kenya Uomori(Osaka Univ.) / Masayuki Ihara(NTT) / Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.)
Secretary Kazuya Kodama(NTT) / Keita Takahashi(NHK) / Mitsuru Maeda(Shizuoka Univ.) / Kenya Uomori(Sony Semiconductor Solutions) / Masayuki Ihara(Nagoya Univ.) / Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.)
Assistant Kyohei Unno(KDDI Research) / Norishige Fukushima(Nagoya Inst. of Tech.) / Hiroaki Kudo(Nagoya Univ.) / Masaru Tsuchida(NTT) / Keita Hirai(Chiba Univ.) / Satoshi Nishiguchi(Oosaka Inst. of Tech.) / Masanori Yokoyama(NTT) / Shogo Fukushima(Univ. of ToKyo) / Chikara Sasaki(KDDI Research) / Yoshiaki Nishikawa(NEC) / Takuto Kimura(NTT)

Paper Information
Registration To Technical Committee on Image Engineering / Technical Committee on Image Media Quality / Technical Committee on Media Experience and Virtual Environment / Technical Committee on Communication Quality
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Walking Balance Evaluation Based on Load Sensor of Walking Support Robot
Sub Title (in English)
Keyword(1) walking support robot
Keyword(2) gait analysis
Keyword(3) balance capability
1st Author's Name Naoto Okada
1st Author's Affiliation Nagoya University(Nagoya Univ.)
2nd Author's Name Mayu Yokoya
2nd Author's Affiliation Panasonic Corporation, Limited(Panasonic Co., Ltd.)
3rd Author's Name Kazunori Yamada
3rd Author's Affiliation Panasonic Corporation, Limited(Panasonic Co., Ltd.)
4th Author's Name Naoto Yoshida
4th Author's Affiliation Nagoya University(Nagoya Univ.)
5th Author's Name Yu Enokibori
5th Author's Affiliation Nagoya University(Nagoya Univ.)
6th Author's Name Kenji Mase
6th Author's Affiliation Nagoya University(Nagoya Univ.)
Date 2020-03-05
Paper # IMQ2019-51,IE2019-133,MVE2019-72
Volume (vol) vol.119
Number (no) IMQ-454,IE-456,MVE-457
Page pp.pp.183-188(IMQ), pp.183-188(IE), pp.183-188(MVE),
#Pages 6
Date of Issue 2020-02-27 (IMQ, IE, MVE)