Xavier Electromyographic Wheelchair Control and Virtual Training

Albert Manero, Bjorn Oskarsson, John Sparkman, Peter A. Smith, Matt Dombrowski, Mrudula Peddinti, Angel Rodriguez, Juan Vila, Brendan Jones

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

Abstract

For a variety of individuals, limited hand dexterity yields complications to independently control a power wheelchair. Neurological conditions, including quadriplegia, and traumatic brain injuries can all reduce or eliminate fine motor skills necessary to operate a joystick. For patients with progressive disorders, this acute or chronic progression can affect the hands and limbs at an early stage of the disease. In an effort to extend independence and autonomous mobility, the Xavier system was developed to utilize electromyography signals measured on the temporalis muscles on the face to enable control of a power wheelchair. This study looks to document the human to machine interaction and control scheme as well as discuss the development of a clinical trial protocol to quantify the effectiveness and meaning of the technology on patients. Patient selection in this pilot study was focused on people living with Amyotrophic Lateral Sclerosis (ALS) in conjunction with Mayo Clinic Jacksonville. A review of the clinical protocol and assessment techniques is joined with a discussion about the role of virtual training via designed vehicle simulation to develop muscle isolation and driving mechanics.

Original languageEnglish (US)
Title of host publicationVirtual, Augmented and Mixed Reality. Multimodal Interaction - 11th International Conference, VAMR 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
EditorsJessie Y.C. Chen, Gino Fragomeni
PublisherSpringer Verlag
Pages133-142
Number of pages10
ISBN (Print)9783030216061
DOIs
StatePublished - Jan 1 2019
Event11th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
Duration: Jul 26 2019Jul 31 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11574 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
CountryUnited States
CityOrlando
Period7/26/197/31/19

Keywords

  • ALS
  • Electromyography
  • Mobility

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Manero, A., Oskarsson, B., Sparkman, J., Smith, P. A., Dombrowski, M., Peddinti, M., Rodriguez, A., Vila, J., & Jones, B. (2019). Xavier Electromyographic Wheelchair Control and Virtual Training. In J. Y. C. Chen, & G. Fragomeni (Eds.), Virtual, Augmented and Mixed Reality. Multimodal Interaction - 11th International Conference, VAMR 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings (pp. 133-142). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11574 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-21607-8_10