Design Principles for Mobile Brain-Body Imaging Devices with Optimized Ergonomics

Niell Gorman, Antoinette Louw, Alex Craik, Jose Gonzalez, Jeff Feng, Jose L. Contreras-Vidal

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

Abstract

Mobile brain-body imaging (MoBI) technology allows the study of the brain in action and the context of complex natural settings. MoBI devices are wearable devices that typically record the scalp electroencephalogram (EEG) and head motion of the user. MoBI systems have applications in neuroscience, rehabilitation, design, and other applications. Here, we propose design principles for MoBI systems for use in brain-machine interfaces for rehabilitation by individuals with movement disabilities. This design study discusses the validity of the process of utilizing 3D anthropometric data as a basis to design a MoBI headset for an optimized fit and ergonomics. The study also discusses the need for ensuring that EEG sensors keep constant contact with the scalp and face for the best scan quality. Moreover, the need for single-handed correct positioning of the headset is discussed to address disabilities in the older populations and clinical populations with motor impairments.

Original languageEnglish (US)
Title of host publicationAdvances in Usability, User Experience, Wearable and Assistive Technology - Proceedings of the AHFE 2021 Virtual Conferences on Usability and User Experience, Human Factors and Wearable Technologies, Human Factors in Virtual Environments and Game Design, and Human Factors and Assistive Technology, 2021
EditorsTareq Z. Ahram, Christianne S. Falcão
PublisherSpringer Science and Business Media Deutschland GmbH
Pages3-10
Number of pages8
ISBN (Print)9783030800901
DOIs
StatePublished - 2021
EventAHFE Conferences on Usability and User Experience, Human Factors and Wearable Technologies, Human Factors in Virtual Environments and Game Design, and Human Factors and Assistive Technology, 2021 - Virtual, Online
Duration: Jul 25 2021Jul 29 2021

Publication series

NameLecture Notes in Networks and Systems
Volume275
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceAHFE Conferences on Usability and User Experience, Human Factors and Wearable Technologies, Human Factors in Virtual Environments and Game Design, and Human Factors and Assistive Technology, 2021
CityVirtual, Online
Period7/25/217/29/21

Keywords

  • 3D anthropometry
  • EEG headset
  • Ergonomic design
  • Headset design

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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