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Assessment and Communication for People with Disorders of Consciousness
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Adaptive hybrid brain-computer interaction: ask a trainer for assistance!

Gernot R Müller-Putz, David Steyrl, Josef Faller

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 9, 2015
    PubMed
    Summary

    A novel trainer-trainee approach significantly improved brain-computer interface (BCI) control for novice users. This method, using event-related desynchronization (ERD) BCIs, led to high accuracy even after unassisted operation.

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    Area of Science:

    • Neuroscience
    • Biomedical Engineering
    • Human-Computer Interaction

    Background:

    • Effective training is crucial for novice users to gain control of brain-computer interfaces (BCIs).
    • The trainer-trainee model is a well-established concept in general skill acquisition.

    Purpose of the Study:

    • To evaluate the efficacy of a trainer-trainee approach in improving user performance with event-related desynchronization (ERD) based, adaptive, hybrid BCIs.
    • To assess if merging expert and novice BCI user features enhances learning and control.

    Main Methods:

    • A closed-loop BCI feedback system was employed, merging features from a high-aptitude user (trainer) and a novice user (trainee).
    • The BCI classifier was automatically adapted during a training session.
    • Participants operated the BCI system unassisted in a subsequent session.

    Main Results:

    • Trainees achieved a peak accuracy of 95.3% when assisted by the trainer.
    • Even without assistance, trainees maintained a high peak accuracy of 83.6% in the second session.
    • Ten out of twelve novice users achieved significantly better-than-chance accuracy.

    Conclusions:

    • The trainer-trainee approach shows significant promise for enhancing BCI control in novice users.
    • This method facilitated substantial BCI proficiency, even in unassisted use.
    • Further research is warranted to compare this approach with conventional BCI training methods.