Remote-Operated Multimodal Interface for Therapists during Walker-Assisted Gait Rehabilitation: A Preliminary Assessment

Sergio D. Sierra, Mario F. Jiménez, Marcela C. Múnera, Anselmo Frizera-Neto, Carlos A. Cifuentes

Research output: Chapter in Book/InformConference contribution

7 Scopus citations

Abstract

Smart Walkers are robotic devices commonly used to improve physical stability and sensory support for people with lower limb weakness or cognitive impairments. Even though such devices offer continuous monitoring during gait rehabilitation, empowering therapists to reduce efforts during gait therapies is an interesting research topic. In this context, a new strategy to remote-operate and perceive a walker-assisted gait therapy using a joystick is presented. Three operational modes were configured into a joystick to provide cognitive and physical interaction, such as no feedback mode, light feedback mode and force feedback mode. Results from a usability and acceptance questionnaire showed better participant's understating of light feedback mode, and higher effort perception under force feedback mode. This interaction strategy represents a potential joystick application as a monitoring and control interface in walker-assisted gait.

Original languageEnglish (US)
Title of host publicationHRI 2019 - 14th ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
Pages528-529
Number of pages2
ISBN (Electronic)9781538685556
DOIs
StatePublished - Mar 22 2019
Externally publishedYes
Event14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019 - Daegu, Korea, Republic of
Duration: Mar 11 2019Mar 14 2019

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
Volume2019-March
ISSN (Electronic)2167-2148

Conference

Conference14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019
Country/TerritoryKorea, Republic of
CityDaegu
Period3/11/193/14/19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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