Skip to main content
SpringerLink
Log in

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

  • Conference paper
  • First Online:
Advances in Usability, User Experience, Wearable and Assistive Technology (AHFE 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 275))

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Brunner, C., et al.: BNCI Horizon 2020: towards a roadmap for the BCI community Brain Comput. Interfaces 2(1), 1–10 (2015)

    Google Scholar 

  2. Verwulgen, S., et al.: A new data structure and workflow for using 3D anthropometry in the design of wearable products Int. J. Ind. Ergon. 64, 108–117 (2018)

    Article  Google Scholar 

  3. Kawana, T., Yoshida, Y., Kudo, Y., Iwatani, C., Miki, N.: Design and characterization of an EEG-hat for reliable EEG measurements. Micromachines 11(7), 635 (2020)

    Article  Google Scholar 

  4. Lacko, D., et al.: Ergonomic design of an EEG headset using 3D anthropometry Appl. Ergon. 58, 128–136 (2017)

    Google Scholar 

  5. Feng, T., Kuhn, D., Ball, K., Kerick, S., McDowell, K.: Evaluation of a prototype low-cost, modular, wireless electroencephalography (EEG) headset design for widespread application. US Army Research Laboratory (2016)

    Google Scholar 

  6. Ahn, M., Lee, M., Choi, J., Jun, S.: A review of brain-computer interface games and an opinion survey from researchers, developers and users. Sensors 14(8), 14601–14633 (2014)

    Article  Google Scholar 

  7. Hairston, D., et al.: Usability of four commercially-oriented EEG systems. J. Neural Eng. 11, 046018 (2014)

    Google Scholar 

  8. Pheasant, S., Haslegrave, C.M.: Bodyspace: Anthropometry, Ergonomics and the Design of Work. CRC Press, Boca Raton (2005)

    Google Scholar 

  9. Ellena, T., Subic, A., Mustafa, H., Pang, T.Y.: The Helmet Fit Index–an intelligent tool for fit assessment and design customization. Appl. Ergon. 55, 194–207 (2016)

    Article  Google Scholar 

  10. Karlson, A.K., Bederson, B.B., Contreras-Vidal, J.L.: Understanding single-handed mobile device interaction (2006)

    Google Scholar 

  11. Yates, D.C., Rodriguez-Villegas, E.: A key power trade-off in wireless EEG headset design. In: Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering Kohala Coast, Hawaii, USA, 2–5 May 2007

    Google Scholar 

  12. Li, G., Wang, S., Duan, Y.Y.: Towards gel-free electrodes: a systematic study of electrode-skin impedance. Sens. Actuators B Chem. 241, 1244–1255 (2017)

    Article  Google Scholar 

  13. Jurcak, V., Tsuzuki, D., Dan, I.: 10/20, 10/10, and 10/5 systems revisited: their validity as relative head-surface-based positioning systems. NeuroImage 34(4), 1600–1611 (2007). ISSN 1053-8119

    Google Scholar 

  14. Lacko, D., et al.: Evaluation of an anthropometric shape model of the human scalp. Appl. Ergon. 48, 70–85 (2015)

    Article  Google Scholar 

  15. Chang, J., Jung, K., Hwang, J., Kang, Y., Lee, S., Freivalds, A.: Determination of bicycle handle diameters considering hand anthropometric data and user satisfaction. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting (2010)

    Google Scholar 

  16. Luximon, A., Zhang, Y., Luximon, Y., Xiao, M.: Sizing and grading for wearable products. Comput. Aided Des. 44(1), 77–84 (2012)

    Article  Google Scholar 

  17. Haryńska, A., Kucinska-Lipka, J., Sulowska, A., Gubanska, I., Kostrzewa, M., Janik, H.: Medical-grade PCL based polyurethane system for FDM 3D printing—characterization and fabrication. Materials 12(6), 887 (2019)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Architecture and Design, University of Houston, 4800 Calhoun Road, Houston, TX, 77204, USA

    Niell Gorman, Antoinette Louw & Jeff Feng

  2. IUCRC BRAIN Center, University of Houston, 4800 Calhoun Road, Houston, TX, 77204, USA

    Alex Craik, Jose Gonzalez, Jeff Feng & Jose L. Contreras-Vidal

  3. Noninvasive Brain-Machine Interface Systems Laboratory, University of Houston, 4800 Calhoun Road, Houston, TX, 77204, USA

    Alex Craik, Jose Gonzalez & Jose L. Contreras-Vidal

Authors
  1. Niell Gorman
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Antoinette Louw
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Alex Craik
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jose Gonzalez
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jeff Feng
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Jose L. Contreras-Vidal
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jeff Feng .

Editor information

Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Z. Ahram

  2. Doctorate Researcher in Design, Recife-PE, Brazil

    Christianne S. Falcão

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gorman, N., Louw, A., Craik, A., Gonzalez, J., Feng, J., Contreras-Vidal, J.L. (2021). Design Principles for Mobile Brain-Body Imaging Devices with Optimized Ergonomics. In: Ahram, T.Z., Falcão, C.S. (eds) Advances in Usability, User Experience, Wearable and Assistive Technology. AHFE 2021. Lecture Notes in Networks and Systems, vol 275. Springer, Cham. https://doi.org/10.1007/978-3-030-80091-8_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-80091-8_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80090-1

  • Online ISBN: 978-3-030-80091-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation