When performing different tasks along the day, people experiment different levels of cognitive state depending on the level of attention required, the difficulty of such task and how many sub-tasks are needed to take care off.
Physiological measures provide a more reliable data of cognitive state by measuring physiological dynamic changes which cannot be controlled consciously. Electroencephalogram (EEG) and electrocardiogram (ECG) are the preferred ones among researchers.
The goal of this project is to characterize the cognitive state by means of neural networks from EEG and ECG signals.
Department of Telecommunications and Systems Engineering – Universitat Autònoma de Barcelona (UAB), Aslogic S.L, Cranfield University
This project has received funding from the Clean Sky 2 Joint Undertaking (JU) under grant agreement No 831993. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and the Clean Sky 2 JU members other than the Union.