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|Title:||EEG-based measure of cognitive workload during a mental arithmetic task||Authors:||Rebsamen, B.
|Issue Date:||2011||Citation:||Rebsamen, B.,Kwok, K.,Penney, T.B. (2011). EEG-based measure of cognitive workload during a mental arithmetic task. Communications in Computer and Information Science 174 CCIS (PART 2) : 304-307. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-22095-1_62||Abstract:||We collected EEG data from 16 subjects while they performed a mental arithmetic task at five different levels of difficulty. A classifier was trained to discriminate between three conditions: relaxed, low workload and high workload, using spectral features of the EEG. We obtained an average classification accuracy of 62%. A continuous workload index was obtained by low-pass filtering the classifier's output. The average correlation coefficient between the resulting workload index and the difficulty level of the task was 0.6. © 2011 Springer-Verlag.||Source Title:||Communications in Computer and Information Science||URI:||http://scholarbank.nus.edu.sg/handle/10635/115406||ISBN:||9783642220944||ISSN:||18650929||DOI:||10.1007/978-3-642-22095-1_62|
|Appears in Collections:||Staff Publications|
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