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Erschienen in:
2011 | OriginalPaper | Buchkapitel
EEG-Based Measure of Cognitive Workload during a Mental Arithmetic Task
verfasst von : Brice Rebsamen, Kenneth Kwok, Trevor B. Penney
Erschienen in: HCI International 2011 – Posters’ Extended Abstracts
Verlag: Springer Berlin Heidelberg
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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.