Please use this identifier to cite or link to this item:
|Title:||Evaluation of cognitive workload from EEG during a mental arithmetic task||Authors:||Rebsamen, B.
|Issue Date:||2011||Citation:||Rebsamen, B.,Kwok, K.,Penney, T.B. (2011). Evaluation of cognitive workload from EEG during a mental arithmetic task. Proceedings of the Human Factors and Ergonomics Society : 1342-1345. ScholarBank@NUS Repository. https://doi.org/10.1177/1071181311551279||Abstract:||We collected electroencephalographic (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 correlation coefficient between the resulting workload index and the difficulty level of the task was 0.6 on average. Copyright 2011 by Human Factors and Ergonomics Society, Inc. All rights reserved.||Source Title:||Proceedings of the Human Factors and Ergonomics Society||URI:||http://scholarbank.nus.edu.sg/handle/10635/116723||ISBN:||9780945289395||ISSN:||10711813||DOI:||10.1177/1071181311551279|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 5, 2019
checked on Nov 29, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.