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



Mental Workload

Brain-computer interface


Pupil diameter



Pedro Mendoncą

Universidade de Lisboa

Manuel Alder Abreu

Universidade de Lisboa

Vitor Fernando Placido da Conceicao

Base Naval de Lisboa

Chalmers, Mekanik och maritima vetenskaper, Maritima studier

Academia Naval, Almada

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,


Inbäddad systemteknik

Datavetenskap (datalogi)




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