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Brain-controlled applications using dynamic P300 speller matrices.

Sebastian Halder¹, Andreas Pinegger², Ivo Käthner¹

¹Institute of Psychology, University of Würzburg, Marcusstr. 9-11, 97070 Würzburg, Germany.

Artificial Intelligence in Medicine

|December 24, 2014

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This study introduces a brain-computer interface (BCI) controlled web browser and multimedia player for individuals with severe motor impairments, enhancing their access to digital content.

Area of Science:

Neuroscience
Computer Science
Rehabilitation Engineering

Background:

Access to the internet and multimedia is crucial for modern life.
Severely motor-impaired individuals face significant barriers to digital content access.

Purpose of the Study:

To develop and evaluate a web browser and multimedia player controlled by a brain-computer interface (BCI).
To enable severely motor-impaired individuals to navigate the web and control multimedia content.

Main Methods:

A P300 BCI with dynamic matrix sizing was implemented for web browser control.
An existing multimedia player was adapted for BCI control.
Evaluations were conducted with 10 healthy participants and 3 end-users using a visual P300 BCI with face stimuli.

Keywords:

Assistive technology Brain-computer interface Motor impairment

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Main Results:

Healthy participants achieved 90% accuracy for the multimedia player and 85% for web browsing.
End-users achieved 62% accuracy for multimedia and 58% for web browsing.
Most participants reported a sense of control over the systems.

Conclusions:

The developed BCI-controlled applications offer a viable solution for web browsing and multimedia interaction.
These tools enhance digital access for individuals with severe motor impairments, improving information retrieval and entertainment.