MindBigData 2022 A Large Dataset of Brain Signals
- URL: http://arxiv.org/abs/2212.14746v1
- Date: Tue, 27 Dec 2022 21:15:13 GMT
- Title: MindBigData 2022 A Large Dataset of Brain Signals
- Authors: David Vivancos and Felix Cuesta
- Abstract summary: MindBigData aims to provide a comprehensive and updated dataset of brain signals related to a diverse set of human activities.
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.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: 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.
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