Assessing the Cognitive Demand of Hand Controlled Exoskeleton Walking

Kiran K. Karunakaran, Richard A. Foulds

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

Abstract

Individuals with spinal cord injury have motor and sensory deficits leading to ambulatory problems. Our current research is focused on developing innovative control mechanisms for wearable robotic exoskeletons to provide such users with complete control of their gait while allowing them to perform other activities (such as conversing, etc.). In this study, we evaluated the cognitive load due to using the user's hand movement to control the gait of a robot using a dual-task paradigm. The results show that there was no difference in symmetry and duty cycle between with and without a competing cognitive task, and the number of cognitive responses was similar to healthy controls walking on the treadmill. There was also no difference in obstacle navigation with and without the cognitive task. Results of this study suggest that using our control mechanisms is intuitive, easy to learn, and requires cognitive attention that is similar to normal human walking. Clinical Relevance - Initial evidence to understand the effects of the novel control mechanism on cognitive load over that of typical walking.

Original languageEnglish (US)
Title of host publication44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4338-4341
Number of pages4
ISBN (Electronic)9781728127828
DOIs
StatePublished - 2022
Event44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 - Glasgow, United Kingdom
Duration: Jul 11 2022Jul 15 2022

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2022-July
ISSN (Print)1557-170X

Conference

Conference44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
Country/TerritoryUnited Kingdom
CityGlasgow
Period7/11/227/15/22

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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