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Abstract:
The n_back test dataset consists of 4 different folders corresponding to the recordings of EEG (electroencephalogram) and ECG (electrocardiogram) activity from 16 subjects under three different mental workloads with their corresponding tests of self-subjective workload perception.
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The Heat the Chair! dataset consists of 4 different folders corresponding to the recordings of EEG (electroencephalogram) and ECG (electrocardiogram) activity from 17 subjects playing the Serious game named “Heat the Chair!” together withheir corresponding scores and also their tests of self-subjective workload perception .
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CITATION
Yauri, J.; Hernández-Sabaté, A.; Folch, P.; Gil, D. Mental Workload Detection Based on EEG
Analysis. Artificial Intelligence Research and Development. IOS Press, 2021, pp. 268–277.
PARTNERS
Department of Telecommunications and Systems Engineering – UAB
Aslogic S.L
FUNDING
This research is partially supported by the H2020 Clean Sky 2 project: “E-PILOT: Evolution of cockPIt operations Levering on cOgnitive compuTing Services” (Grant Agreement No. 831993)
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