Planned intervention: On Wednesday June 26th 05:30 UTC Zenodo will be unavailable for 10-20 minutes to perform a storage cluster upgrade.
Published July 1, 2021 | Version 2
Dataset Open

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

  • 1. Univ. Maastricht, NL
  • 2. ISAE-SUPAERO, Univ. Toulouse, France
  • 3. Inria Bordeaux Sud-Ouest, Talence, France

Description

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).

 

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.

Notes

The project was validated by the local ethical committee of the University of Toulouse (CER number 2021-342).

Files

documentation_pBCI_hackathon.pdf

Files (2.7 GB)

Name Size Download all
md5:5c2869958ac5d1af8f9c5e8173e19b88
2.3 kB Download
md5:f9e4b42b9b959722dcb58c6e424d48da
409.9 kB Preview Download
md5:f1122f73893f51aa1fbd0d0391dfe31b
2.6 kB Preview Download
md5:92845ee256eeb08a1c50b30a609600c4
84.5 kB Preview Download
md5:47d0a293a7b5a14c246e3a6a7ce13a09
51.0 kB Preview Download
md5:e54f3873a07500a8649cab1f567656cb
181.0 MB Preview Download
md5:b1906fa43d1483c69ba02cc0341a41d9
181.1 MB Preview Download
md5:f09382e996bfe59e1d2d7bf9c6bfc33f
181.3 MB Preview Download
md5:cededfbc3cbf00b7eb5d09b53441e62a
181.0 MB Preview Download
md5:05ea67a33520bbcf1745ff56e677b0c4
180.3 MB Preview Download
md5:50d16798d14c1c698b4dd4f9b526d4b3
181.0 MB Preview Download
md5:e1bd1931965c3117c000e3ea91579258
180.3 MB Preview Download
md5:281ecf30e5139046d37e6045e0cfda26
181.0 MB Preview Download
md5:6ebeeb5fe0a7f4033cc60135f1e3f901
180.6 MB Preview Download
md5:0a5fad9f7c2fdc1e169128d4f548eaed
180.6 MB Preview Download
md5:3f266e6d8f1e61bb3dd9005a74123c08
181.8 MB Preview Download
md5:c4f9a83bd2dc8fd9ca189821d14e5b72
181.7 MB Preview Download
md5:779744d692c1ae34f1ff42328a197d64
180.8 MB Preview Download
md5:db2309ced29fbe6a285a6355d6747361
181.0 MB Preview Download
md5:c6894fdc339c8d31f22d02237b14404d
181.7 MB Preview Download