User directional intention identification for a walking support walker: Adaptation to individual differences with fuzzy learning

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

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

1 Citation (Scopus)

Abstract

Safety is required as well as usability when developing a human robot interface for a disabled user. We are developing an omni-directional walker (ODW) to support indoor movement for those who have walking disabilities. A novel method is proposed to recognize a user's directional intention according to his/her forearm pressures to the ODW, which are measured by sensors embedded in the ODW's armrest. Fuzzy rules are extracted from the relationship between forearm pressure and directional intention and an algorithm is proposed for directional intention identification based on distance-type fuzzy reasoning method (DTFRM). Furthermore, fuzzy learning is introduced to adapt to the individual difference in forearm pressures. The experiment results show that the reasoning results of the proposed method are consistent with the intended directions, and that fuzzy learning can reduce the reasoning errors caused by individual difference.

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
Pages1207-1210
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012 - Kobe
Duration: 2012 Nov 202012 Nov 24

Other

Other2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012
CityKobe
Period12/11/2012/11/24

Keywords

  • directional intention
  • disance-type fuzzy reasoning
  • fuzzy learning
  • human robot interface
  • omnidirectional

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

Fingerprint Dive into the research topics of 'User directional intention identification for a walking support walker: Adaptation to individual differences with fuzzy learning'. Together they form a unique fingerprint.

  • Cite this

    Jiang, Y., Wang, S., Ishida, K., Kobayashi, Y., & Fujie, M. G. (2012). User directional intention identification for a walking support walker: Adaptation to individual differences with fuzzy learning. In 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012 (pp. 1207-1210). [6505238] https://doi.org/10.1109/SCIS-ISIS.2012.6505238