论文标题

Mindbigdata 2022大脑信号数据集

MindBigData 2022 A Large Dataset of Brain Signals

论文作者

Vivancos, David, Cuesta, Felix

论文摘要

了解我们的大脑是最艰巨的任务之一,如果没有技术,我们就无法指望完成。 Mindbigdata旨在提供与各种人类活动相关的大脑信号的全面和更新的数据集,以便激发使用机器学习算法作为从原始大脑活动中“解码”性能的基准,以将其从原始大脑活动中介入其相应的(标签)心理(或物理)任务。使用我们为探索技术限制的自我,脑电图设备或自定义设备的商业。我们描述了每个子数据集的数据收集过程以及用于捕获它们的每个耳机。此外,我们报告了可能影响数十亿美元生活的大脑计算机界面或BCI领域的可能应用,在几乎每个领域(例如医疗保健游戏更改用例,行业或娱乐)等几乎每个行业中,几乎不等,但最终为什么不直接使用我们的Brains来“失去介入”的感觉,作为最终的HCI(人类计算机互动)设备?只是我们所说的从类型到触摸到思考的旅程。

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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