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A collaborative Brain-Computer Interface to improve human performance in a visual search task

Valeriani, D and Poli, R and Cinel, C (2015) A collaborative Brain-Computer Interface to improve human performance in a visual search task. In: UNSPECIFIED, ? - ?.

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Abstract

© 2015 IEEE. In this paper we use a collaborative brain-computer interface to integrate the decision confidence of multiple non-communicating observers as a mechanism to improve group decisions. In recent research we tested this idea with the decisions associated with a simple visual matching task and found that a collaborative BCI can outperform group decisions made by a majority vote. Here we extend these initial findings in two ways. Firstly, we look at a more traditional (and more difficult) visual search task involving deciding whether a red vertical bar is present in a random set of 40 red and green, horizontal and vertical bars shown for a very short time. Secondly, to extract features from the neural signals we use spatial CSP filters instead of the spatio-temporal PCA we used in previous research, resulting in a significant reduction in the number of features and free parameters used in the system. Results obtained with 10 participants indicate that for almost all group sizes our new CSP-based collaborative BCI yields group decisions that are statistically significantly better than both traditional (majority-based) group decisions and group decisions made by a PCA-based collaborative BCI.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: International IEEE/EMBS Conference on Neural Engineering, NER
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 24 Aug 2015 15:27
Last Modified: 05 Feb 2019 17:15
URI: http://repository.essex.ac.uk/id/eprint/14596

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