Measuring cognitive workload with low-cost electroencephalograph

Authors:
Avi Knoll;Yang Wang;Fang Chen;Jie Xu;Natalie Ruiz;Julien Epps;Pega Zarjam
Affiliations:
National ICT Australia, University of New South Wales;National ICT Australia, University of New South Wales;National ICT Australia, University of New South Wales;National ICT Australia, University of New South Wales;National ICT Australia, University of New South Wales;National ICT Australia, University of New South Wales;National ICT Australia, University of New South Wales
Venue:
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part IV
Year:
2011

Citing 2
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Abstract

Electroencephalography (EEG) is an important physiological index of cognitive workload. While previous research has employed high-end EEG devices, this work investigates the feasibility of measuring cognitive workload with a low-cost EEG system. In our experiment, EEG signals are recorded from subjects performing silent reading tasks under different difficulty levels. Experimental results demonstrate the effectiveness of cognitive workload evaluation even with low-cost EEG equipment.