Using a cVEP-Based Brain-Computer Interface to Control a Virtual Agent
| Autor: | Andrea Finke, Helge Ritter, Hannes Riechmann |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Adult
Male Information transfer Brain activity and meditation Computer science Biomedical Engineering 02 engineering and technology Action selection Pattern Recognition Automated Communication Aids for Disabled 03 medical and health sciences 0302 clinical medicine Human–computer interaction Task Performance and Analysis 0202 electrical engineering electronic engineering information engineering Internal Medicine Humans Man-Machine Systems Simulation Brain–computer interface General Neuroscience Rehabilitation Codebook Electroencephalography Brain-Computer Interfaces Pattern recognition (psychology) Visual Perception Evoked Potentials Visual Robot Female 020201 artificial intelligence & image processing User interface Algorithms 030217 neurology & neurosurgery |
| Zdroj: | IEEE Transactions on Neural Systems and Rehabilitation Engineering. 24:692-699 |
| ISSN: | 1558-0210 1534-4320 |
| Popis: | Brain-computer interfaces provide a means for controlling a device by brain activity alone. One major drawback of noninvasive BCIs is their low information transfer rate, obstructing a wider deployment outside the lab. BCIs based on codebook visually evoked potentials (cVEP) outperform all other state-of-the-art systems in that regard. Previous work investigated cVEPs for spelling applications. We present the first cVEP-based BCI for use in real-world settings to accomplish everyday tasks such as navigation or action selection. To this end, we developed and evaluated a cVEP-based on-line BCI that controls a virtual agent in a simulated, but realistic, 3-D kitchen scenario. We show that cVEPs can be reliably triggered with stimuli in less restricted presentation schemes, such as on dynamic, changing backgrounds. We introduce a novel, dynamic repetition algorithm that allows for optimizing the balance between accuracy and speed individually for each user. Using these novel mechanisms in a 12-command cVEP-BCI in the 3-D simulation results in ITRs of 50 bits/min on average and 68 bits/min maximum. Thus, this work supports the notion of cVEP-BCIs as a particular fast and robust approach suitable for real-world use. |
| Databáze: | OpenAIRE |
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