Imaginary activity recognition using inter-channel time coherence profiles in EEG data
2016 24th Signal Processing and Communication Application …, 2016•ieeexplore.ieee.org
In this study, we have carried out a brain-computer interface study that uses time delays
between electrodes. As features, we have calculated the time delays that maximizes the
absolute value of the cross-covariance between the chosen reference channel and the
remaining channels. Performance results of 3 out of 5 participants that were nearly at a%
100 accuracy level along with a relatively smaller number of training data, and a lack of
similar studies indicate that the proposed approach is open to the further improvements.
between electrodes. As features, we have calculated the time delays that maximizes the
absolute value of the cross-covariance between the chosen reference channel and the
remaining channels. Performance results of 3 out of 5 participants that were nearly at a%
100 accuracy level along with a relatively smaller number of training data, and a lack of
similar studies indicate that the proposed approach is open to the further improvements.
In this study, we have carried out a brain-computer interface study that uses time delays between electrodes. As features, we have calculated the time delays that maximizes the absolute value of the cross-covariance between the chosen reference channel and the remaining channels. Performance results of 3 out of 5 participants that were nearly at a %100 accuracy level along with a relatively smaller number of training data, and a lack of similar studies indicate that the proposed approach is open to the further improvements.
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