Cross-validation of EEG data for cognitive workload evaluation using an eye-tracker in imaging system tasks
Paper in proceedings, 2019

© 2019 SPIE. In several domains, we found increasing demands to assess cognitive workload and fatigue. This article presents part of the work produced towards the implementation of an integrated system composed of an Electroencephalography (EEG) device and an eye-tracker, focusing on the optical devices. Pupil dilation was found to be related to task difficulty and cognitive workload, where dilation of the pupils indicate greater mental workload. This and other optical parameter can act not only as complement to the EEG system but also as a cross-validation tool. Lenses adjustments and calibration process of the eye-tracker are discussed along with preliminary results from pre-test of the experiment protocol.

Pupil diameter


Mental Workload



Brain-computer interface



Pedro Mendoncą

Faculdade de Ciencias, Universidade de Lisboa

Manuel Alder Abreu

Faculdade de Ciencias, Universidade de Lisboa

Vitor Fernando Placido da Conceicao

Base Naval de Lisboa

Academia Naval, Almada

Chalmers, Mechanics and Maritime Sciences, Maritime Studies, Maritime Human Factors

Proceedings of SPIE - The International Society for Optical Engineering

0277786X (ISSN) 1996756X (eISSN)

Vol. 11207 112072W

4th International Conference on Applications of Optics and Photonics, AOP 2019
Lisbon, Portugal,

Subject Categories

Embedded Systems

Computer Science

Computer Systems



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