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A Hybrid System for Assessing Mental Workload

M. Abreu

Abstract
A system was developed for assessing the response of an individual performing operational tasks associated to image interpretation. This is a Hybrid system composed of two open-source and low-cost hardware parts: an EEG brain-computer interface with dry sensors and an eye-tracker. They are both synchronized via an open-source software, Lab streaming Layer, and can be used with different stimuli for different studies.

2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG)

IEEE, Page 1
2019 April

>> DOI

Faculdade de Ciências da Universidade de Lisboa Universidade do Porto Faculdade de Ciências e Tecnologia da Universidade de Coimbra
Fundação para a Ciência e a Tecnologia COMPETE 2020 PORTUGAL 2020 União Europeia