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

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

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...

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Bibliographic Details
Main Authors: Enrico Mattei, Daniele Lozzi, Alessandro Di Matteo, Alessia Cipriani, Costanzo Manes, Giuseppe Placidi
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Sensors
Subjects:
BCI
EEG
virtual glove
EEGnetV4
dataset
Online Access:https://www.mdpi.com/1424-8220/24/16/5207

Internet

https://www.mdpi.com/1424-8220/24/16/5207

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