Directional control of an omnidirectional walking support walker: Adaptation to individual differences with fuzzy learning

Yinlai Jiang*, Shuoyu Wang, Kenji Ishida, Yo Kobayashi, Masakatsu G. Fujie

*この研究の対応する著者

研究成果: Article査読

14 被引用数 (Scopus)

抄録

We are developing a method to recognize a users directional intention to control an omnidirectional walker (ODW) according to the force interaction between the ODW and the user. Since the characteristics in the force interaction are different among persons especially for those with walking difficulty, a fuzzy learning method is developed in this study to adapt to the individual difference in forearm pressures in order to improve the usability of the method. The experiment results show that fuzzy learning can significantly improve the accuracy of recognition by updating the fuzzy rules according to the characteristics in the force interaction.

本文言語English
ページ(範囲)479-485
ページ数7
ジャーナルAdvanced Robotics
28
7
DOI
出版ステータスPublished - 2014 4月 3

ASJC Scopus subject areas

  • 制御およびシステム工学
  • 人間とコンピュータの相互作用
  • コンピュータ サイエンスの応用
  • ハードウェアとアーキテクチャ
  • ソフトウェア

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