Real-time feedback improves imagined 3D primitive object classification from EEG

Attila Korika Bath Institute for the Augmented Human, University of Bath, Bath, UKCorrespondence[email protected]

https://orcid.org/0000-0002-3757-6092 View further author information

Naomi du Boisa Bath Institute for the Augmented Human, University of Bath, Bath, UKView further author information

Gerard Campbellb Design, Manufacture and Engineering Management, University of Strathclyde, Glasgow, UKView further author information

Eamonn O’Neilla Bath Institute for the Augmented Human, University of Bath, Bath, UKView further author information

Laura Hayb Design, Manufacture and Engineering Management, University of Strathclyde, Glasgow, UKView further author information

Sam Gilbertc Institute of Cognitive Neuroscience, University College London, London, UKView further author information

Madeleine Grealyd School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UKView further author information

Damien Coylea Bath Institute for the Augmented Human, University of Bath, Bath, UK;e Intelligent Systems Research Centre, Ulster University, Derry, UKView further author information

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Real-time feedback improves imagined 3D primitive object classification from EEG

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Real-time feedback improves imagined 3D primitive object classification from EEG

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