TY - GEN
T1 - Design Principles for Mobile Brain-Body Imaging Devices with Optimized Ergonomics
AU - Gorman, Niell
AU - Louw, Antoinette
AU - Craik, Alex
AU - Gonzalez, Jose
AU - Feng, Jeff
AU - Contreras-Vidal, Jose L.
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - 3D anthropometry
KW - EEG headset
KW - Ergonomic design
KW - Headset design
UR - http://www.scopus.com/inward/record.url?scp=85112166544&partnerID=8YFLogxK
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U2 - 10.1007/978-3-030-80091-8_1
DO - 10.1007/978-3-030-80091-8_1
M3 - Conference contribution
AN - SCOPUS:85112166544
SN - 9783030800901
T3 - Lecture Notes in Networks and Systems
SP - 3
EP - 10
BT - Advances 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
A2 - Ahram, Tareq Z.
A2 - Falcão, Christianne S.
PB - Springer Science and Business Media Deutschland GmbH
T2 - AHFE 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
Y2 - 25 July 2021 through 29 July 2021
ER -