Real-time estimation of human's intended walking speed for treadmill-style locomotion interfaces

William Haiwei Dong, Jianjun Meng, Zhiwei Luo

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

5 Scopus citations

Abstract

This paper addresses the problem of estimating human's intended walking speed. Compared with previous researches on walking speed estimation, we predict the walking intention before gait action. In this paper, we find a composite force index which is significantly correlated with the intended walking speed. We did two experiments. One gives a conclusion that intended walking speed has strong linear correlation with the proposed force index; The other shows that the coefficients of the linear relation vary small, guaranteeing the tolerance of individual variation. Finally, we built a treadmill-style locomotion interface. Compared with the normal cases of treadmill control, the tested subject does not have to follow the speed of treadmill, but can actively changes the speed of treadmill by his (or her) feet. This locomotion interface not only shows the validity of the proposed solution, but also provides a promising human machine interface (HMI) for entertainment, healthcare and rehabilitation.

Original languageEnglish (US)
Title of host publicationURAI 2011 - 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence
Pages14-19
Number of pages6
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2011 - Incheon, Korea, Republic of
Duration: Nov 23 2011Nov 26 2011

Publication series

NameURAI 2011 - 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence

Other

Other2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2011
Country/TerritoryKorea, Republic of
CityIncheon
Period11/23/1111/26/11

Keywords

  • locomotion interface
  • treadmill control
  • walking intention

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