Related Experiment Video
Updated: Apr 19, 2026
P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
Published on: September 8, 2023
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.
Objectives:
Access to the world wide web and multimedia content is an important aspect of life. We present a web browser and a multimedia user interface adapted for control with a brain-computer interface (BCI) which can be used by severely motor impaired persons.
Methods:
The web browser dynamically determines the most efficient P300 BCI matrix size to select the links on the current website. This enables control of the web browser with fewer commands and smaller matrices. The multimedia player was based on an existing software. Both applications were evaluated with a sample of ten healthy participants and three end-users. All participants used a visual P300 BCI with face-stimuli for control.
Results:
The healthy participants completed the multimedia player task with 90% accuracy and the web browsing task with 85% accuracy. The end-users completed the tasks with 62% and 58% accuracy. All healthy participants and two out of three end-users reported that they felt to be in control of the system.
Conclusions:
In this study we presented a multimedia application and an efficient web browser implemented for control with a BCI.
Significance:
Both applications provide access to important areas of modern information retrieval and entertainment.
