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2 Results for: Author: Müller-Putz, Gernot R
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- research-articleFebruary 2025
Counting on AR: EEG responses to incongruent information with real-world context
- Michael Wimmer,
- Alex Pepicelli,
- Ben Volmer,
- Neven ElSayed,
- Andrew Cunningham,
- Bruce H. Thomas,
- Gernot R. Müller-Putz,
- Eduardo E. Veas
Computers in Biology and Medicine (CBIM), Volume 185, Issue Chttps://doi.org/10.1016/j.compbiomed.2024.109483AbstractAugmented Reality (AR) technologies enhance the real world by integrating contextual digital information about physical entities. However, inconsistencies between physical reality and digital augmentations, which may arise from errors in the ...
Highlights- Interactive task representing a fundamental application area for AR technologies
- Incongruent AR information with real-world context elicits N400 and P600 components
- •Increased ERP latencies after non-symbolic numbers reflect stimulus ...
- research-articleNovember 2024
Handwritten character classification from EEG through continuous kinematic decoding
Computers in Biology and Medicine (CBIM), Volume 182, Issue Chttps://doi.org/10.1016/j.compbiomed.2024.109132AbstractThe classification of handwritten letters from invasive neural signals has lately been subject of research to restore communication abilities in people with limited movement capacities. This study explores the classification of ten letters (a,d,e,...
Highlights- Handwritten characters can be classified from non-invasive EEG.
- Neural correlates show significant differences between handwritten letters.
- Decoding movement kinematics prior to classification improves performance.
- ...
