Measuring Cognitive Workload with Low-Cost Electroencephalograph - Human-Computer Interaction – INTERACT 2011
Conference Papers Year : 2011

Measuring Cognitive Workload with Low-Cost Electroencephalograph

Avi Knoll
  • Function : Author
  • PersonId : 1017854
University of New South Wales [Canberra Campus]
Yang Wang
  • Function : Author
  • PersonId : 1004872
University of New South Wales [Canberra Campus]
Fang Chen
  • Function : Author
  • PersonId : 1004873
University of New South Wales [Canberra Campus]
Jie Xu
  • Function : Author
  • PersonId : 1017009
University of New South Wales [Canberra Campus]
Natalie Ruiz
  • Function : Author
  • PersonId : 1017855
University of New South Wales [Canberra Campus]
Julien Epps
  • Function : Author
  • PersonId : 1017856
University of New South Wales [Canberra Campus]
Pega Zarjam
  • Function : Author
  • PersonId : 1017857
University of New South Wales [Canberra Campus]

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.

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Computer Science [cs]
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Submitted on : Thursday, September 28, 2017-10:18:42 AM

Last modification on : Tuesday, October 10, 2017-1:32:29 PM

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hal-01596901 , version 1 (28-09-2017)

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Avi Knoll, Yang Wang, Fang Chen, Jie Xu, Natalie Ruiz, et al.. Measuring Cognitive Workload with Low-Cost Electroencephalograph. 13th International Conference on Human-Computer Interaction (INTERACT), Sep 2011, Lisbon, Portugal. pp.568-571, ⟨10.1007/978-3-642-23768-3_84⟩. ⟨hal-01596901⟩

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