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A Feasible BCI in Real Life: Using Predicted Head Rotation to Improve HMD Imaging

Published: 13 March 2017 Publication History

Abstract

While brain signals potentially provide us with valuable information about a user, it is not straightforward to derive and use this information to smooth man-machine interaction in a real life setting. We here propose to predict head rotation on the basis of brain signals in order to improve images presented in a Head Mounted Display (HMD). Previous studies based on arm and leg movements suggest that this could be possible, and a pilot study showed promising results. From the perspective of the field of Brain-Computer Interfaces (BCI), this application provides a good case to put the field's achievements to the test and to further develop in the context of a real life application. The main reason for this is that within the proposed application, acquiring accurately labeled training data (whether and which head movement took place) and monitoring of the quality of the predictive model can happen on the fly. From the perspective of HMD technology and Intelligent User Interfaces, the proposed BCI potentially improves user experience and enables new types of immersive applications.

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Cited By

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  • (2023)Neural Applications Using Immersive Virtual Reality: A Review on EEG StudiesIEEE Transactions on Neural Systems and Rehabilitation Engineering10.1109/TNSRE.2023.325455131(1645-1658)Online publication date: 2023
  • (2020)Fundamentals and Emerging Trends of Neuroergonomic Applications to Driving and NavigationNeuroergonomics10.1007/978-3-030-34784-0_19(389-406)Online publication date: 28-Feb-2020
  • (2019)A Blockchain-based non-invasive Cyber-Physical Occupational Therapy Framework: BCI PerspectiveIEEE Access10.1109/ACCESS.2019.2903024(1-1)Online publication date: 2019
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  1. A Feasible BCI in Real Life: Using Predicted Head Rotation to Improve HMD Imaging

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    cover image ACM Conferences
    BCIforReal '17: Proceedings of the 2017 ACM Workshop on An Application-oriented Approach to BCI out of the laboratory
    March 2017
    50 pages
    ISBN:9781450349017
    DOI:10.1145/3038439
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 13 March 2017

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    Author Tags

    1. EEG
    2. HMD
    3. movement
    4. passive BCI
    5. virtual reality

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    • Research-article

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    • This research is part of the project Long Term Research on Networked Virtual Reality TKI (Topconsortium for Knowledge and Innov

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    IUI'17
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    BCIforReal '17 Paper Acceptance Rate 8 of 12 submissions, 67%;
    Overall Acceptance Rate 8 of 12 submissions, 67%

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    Cited By

    View all
    • (2023)Neural Applications Using Immersive Virtual Reality: A Review on EEG StudiesIEEE Transactions on Neural Systems and Rehabilitation Engineering10.1109/TNSRE.2023.325455131(1645-1658)Online publication date: 2023
    • (2020)Fundamentals and Emerging Trends of Neuroergonomic Applications to Driving and NavigationNeuroergonomics10.1007/978-3-030-34784-0_19(389-406)Online publication date: 28-Feb-2020
    • (2019)A Blockchain-based non-invasive Cyber-Physical Occupational Therapy Framework: BCI PerspectiveIEEE Access10.1109/ACCESS.2019.2903024(1-1)Online publication date: 2019
    • (2018)BCI to Potentially Enhance Streaming Images to a VR Headset by Predicting Head RotationFrontiers in Human Neuroscience10.3389/fnhum.2018.0042012Online publication date: 16-Oct-2018
    • (2018)Long Term Use Effects of a P300-Based Spelling ApplicationAugmented Cognition: Intelligent Technologies10.1007/978-3-319-91470-1_15(170-179)Online publication date: 3-Jun-2018

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