Dataset Open Access

An EEG dataset for cross-session mental workload estimation: Passive BCI competition of the Neuroergonomics Conference 2021

Hinss, Marcel F.; Darmet, Ludovic; Somon, Bertille; Jahanpour, Emilie; Lotte, Fabien; Ladouce, Simon; Roy, Raphaëlle N.


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.5055046", 
  "language": "eng", 
  "title": "An EEG dataset for cross-session mental workload estimation: Passive BCI competition of the Neuroergonomics Conference 2021", 
  "issued": {
    "date-parts": [
      [
        2021, 
        7, 
        1
      ]
    ]
  }, 
  "abstract": "<p>The dataset is part of a new open EEG database designed to answer a need for more publicly available EEG-based dataset to design and benchmark passive brain-computer interface pipelines (as detailed in [Hinss2021]). This database is currently being created and will be fully released before the end of the year. It will include data acquired over 30 participant, 4 tasks and 3 sessions. For this competition, hosted by the Neuroergonomics Conference 2021, only one task and half the participants will be analyzed. Hence, this competition focuses on a renowned task that elicits various levels of mental/cognitive workload: the Multi-Atribute Task Battery-II (MATB-II) developed by NASA (https://matb.larc.nasa.gov/). It is composed of 4 sub-tasks: system monitoring, tracking, resource management and communications. By varying the number and complexity of the sub-tasks, 3 levels of workload were elicited (verified through statistical analyzes of both subjective and objective -behavioral and cardiac- data). Each difficulty level was performed by 15 subjects (6 female; 9 average 25 y.o.) during 5 minutes per session, in a pseudo-randomized order. Each session was separated by 7 days. We used a 62 actiChamp EEG channels device (BrainProducts; electrode placement 10-20 system).</p>\n\n<p>&nbsp;</p>\n\n<p><strong>For the competition, your goal is to predict the mental workload for a given subject (intra-subject estimation) using the EEG data from another session (inter-session adaptation). More information on the conference website and in the documentation file.</strong></p>", 
  "author": [
    {
      "family": "Hinss, Marcel F."
    }, 
    {
      "family": "Darmet, Ludovic"
    }, 
    {
      "family": "Somon, Bertille"
    }, 
    {
      "family": "Jahanpour, Emilie"
    }, 
    {
      "family": "Lotte, Fabien"
    }, 
    {
      "family": "Ladouce, Simon"
    }, 
    {
      "family": "Roy, Rapha\u00eblle N."
    }
  ], 
  "id": "5055046", 
  "note": "The project was validated by the local ethical committee of the University of Toulouse (CER number 2021-342).", 
  "event-place": "Munich, Germany", 
  "version": "2", 
  "type": "dataset", 
  "event": "Neuroergonomics Conference"
}
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