STEW

该数据集是一个公开的数据集，用于对精神工作负载进行分类，它包含了原始的多任务精神工作负载脑电波数据。在两个工作负载级别上，该数据集达到了95.28%的准确率，在三个工作负载级别上，准确率为88.72%。其任务是进行精神工作负载的分类。

This is a public dataset designed for mental workload classification, which contains raw multi-task mental workload electroencephalogram (EEG) data. It achieves an accuracy of 95.28% for two workload levels and 88.72% for three workload levels. The core task of this dataset is mental workload classification.