MindBigData 2022 A Large Dataset of Brain Signals

Autor:	Vivancos, David, Cuesta, Felix
Rok vydání:	2022
Předmět:	Electrical Engineering and Systems Science - Signal Processing Computer Science - Computer Vision and Pattern Recognition Computer Science - Machine Learning Quantitative Biology - Neurons and Cognition 68T01 (primary) 68T45 (Secondary) H.2.8 I.2.0 I.2.1 J.3 J.7
Druh dokumentu:	Working Paper
Popis:	Understanding our brain is one of the most daunting tasks, one we cannot expect to complete without the use of technology. MindBigData aims to provide a comprehensive and updated dataset of brain signals related to a diverse set of human activities so it can inspire the use of machine learning algorithms as a benchmark of 'decoding' performance from raw brain activities into its corresponding (labels) mental (or physical) tasks. Using commercial of the self, EEG devices or custom ones built by us to explore the limits of the technology. We describe the data collection procedures for each of the sub datasets and with every headset used to capture them. Also, we report possible applications in the field of Brain Computer Interfaces or BCI that could impact the life of billions, in almost every sector like healthcare game changing use cases, industry or entertainment to name a few, at the end why not directly using our brains to 'disintermediate' senses, as the final HCI (Human-Computer Interaction) device? simply what we call the journey from Type to Touch to Talk to Think. Comment: 15 pages, 10 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2212.14746 Zobrazit plný text záznamu View this record from Arxiv