title: Multi-channel EEG recordings during 3,936 grasp and lift trials with varying weight and friction.
abstract: WAY-EEG-GAL is a dataset designed to allow critical tests of techniques to decode sensation, intention, and action from scalp EEG recordings in humans who perform a grasp-and-lift task. Twelve participants performed lifting series in which the object's weight (165, 330, or 660 g), surface friction (sandpaper, suede, or silk surface), or both, were changed unpredictably between trials, thus enforcing changes in fingertip force coordination. In each of a total of 3,936 trials, the participant was cued to reach for the object, grasp it with the thumb and index finger, lift it and hold it for a couple of seconds, put it back on the support surface, release it, and, lastly, to return the hand to a designated rest position. We recorded EEG (32 channels), EMG (five arm and hand muscles), the 3D position of both the hand and object, and force/torque at both contact plates. For each trial we provide 16 event times (e.g., 'object lift-off') and 18 measures that characterize the behaviour (e.g., 'peak grip force').
authors.affiliation: IDSIA, Dalle Molle Institute for Artificial Intelligence, USI-SUPSI, CH-6928 Manno-Lugano, Switzerland ; Center for Computational Neuroscience and Neural Technology, Boston University , Boston, Massachusetts 02215, USA.
authors.forename: Matthew D
authors.initials: MD
authors.lastname: Luciw
authors.affiliation: Physiology Section, Department of Integrative Medical Biology, Umeå University , S-90187 Umeå, Sweden ; Department of Kinesiology, Faculty of Physiotherapy, University School of Physical Education , Wroclaw 51-612, Poland.
authors.forename: Ewa
authors.initials: E
authors.lastname: Jarocka
authors.affiliation: Physiology Section, Department of Integrative Medical Biology, Umeå University , S-90187 Umeå, Sweden.
authors.forename: Benoni B
authors.initials: BB
authors.lastname: Edin
mesh_terms: D004569:Electroencephalography / Q000379:methods; D018737:Hand Strength / Q000502:physiology*; D006801:Humans; D014891:Weight Lifting / Q000502:physiology*