MOVING: A Multi-Modal Dataset of EEG Signals and Virtual Glove Hand Tracking

• Published in: Sensors (Basel, Switzerland) Vol. 24; no. 16; p. 5207
• Main Authors: Mattei, Enrico, Lozzi, Daniele, Di Matteo, Alessandro, Cipriani, Alessia, Manes, Costanzo, Placidi, Giuseppe
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 11.08.2024; MDPI
• Subjects: Adult; BCI; Biomechanical Phenomena - physiology; Brain-Computer Interfaces; Classification; Competition; dataset; Datasets; Deep learning; EEG; EEGnetV4; Electrodes; Electroencephalography; Electroencephalography - methods; Female; Hand - physiology; Humans; Kinematics; Male; Movement - physiology; Signal Processing, Computer-Assisted; virtual glove; EEGnetV4; BCI; dataset; EEG; virtual glove

Brain–computer interfaces (BCIs) are pivotal in translating neural activities into control commands for external assistive devices. Non-invasive techniques like electroencephalography (EEG) offer a balance of sensitivity and spatial-temporal resolution for capturing brain signals associated with mot...