{"url":"/dataset/munich-motor-imagery-dataset-1","name":"Munich Motor Imagery dataset","full_name":"Motor imagery dataset from Grosse-Wentrup et al. 2009.","description_markdown":"BMI/OpenBMI dataset for MI.\r\n\r\nDataset from Lee et al 2019 [1].\r\n\r\n### Dataset Description\r\nA trial started with the central display of a white fixation cross.  After 3 s, a white arrow was superimposed on the fixation cross,  either pointing to the left or the right. Subjects were instructed to  perform haptic motor imagery of the left or the right hand during  display of the arrow, as indicated by the direction of the arrow.  After another 7 s, the arrow was removed, indicating the end of the  trial and start of the next trial. While subjects were explicitly  instructed to perform haptic motor imagery with the specified hand,  i.e., to imagine feeling instead of visualizing how their hands moved,  the exact choice of which type of imaginary movement, i.e., moving the  fingers up and down, gripping an object, etc., was left unspecified. A  total of 150 trials per condition were carried out by each subject,  with trials presented in pseudorandomized order.\r\n\r\nTen healthy subjects (S1--S10) participated in the experimental  evaluation. Of these, two were females, eight were right handed, and  their average age was 25.6 years with a standard deviation of 2.5  years. Subject S3 had already participated twice in a BCI experiment,  while all other subjects were naive to BCIs. EEG was recorded at M=128  electrodes placed according to the extended 10--20 system. Data were  recorded at 500 Hz with electrode Cz as reference. Four BrainAmp  amplifiers were used for this purpose, using a temporal analog  high-pass filter with a time constant of 10 s. The data were  re-referenced to common average reference offline. Electrode  impedances were below 10 kΩ for all electrodes and subjects at the  beginning of each recording session. No trials were rejected and no  artifact correction was performed. For each subject, the locations of  the 128 electrodes were measured in three dimensions using a Zebris  ultrasound tracking system and stored for further offline analysis.\r\n\r\n### References\r\n\r\n[1]   Grosse-Wentrup, Moritz, et al. \"Beamforming in noninvasive brain–computer interfaces.\" IEEE Transactions on Biomedical  Engineering 56.4 (2009): 1209-1219.","description_withheld":null,"homepage":"https://doi.org/10.1093/gigascience/giz002","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":{"name":"CC0","url":"https://doi.org/10.1093/gigascience/giz002"},"modalities":[{"name":"EEG","url":"/datasets/modality/eeg"}],"tasks":[{"name":"Motor Imagery Decoding (left-hand vs right-hand)","url":"/task/motor-imagery-decoding-left-hand-vs-right","datasets_with_task":"/datasets/task/motor-imagery-decoding-left-hand-vs-right"}],"languages":[],"variants":["Munich Motor Imagery dataset"],"data_loaders":[],"num_papers_in_archive":0,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}