基于虚拟现实和个人计算机的脑机接口实验数据集

本数据集由GIPSA实验室创建，专注于P300脑机接口（BCI）的研究，通过在普通智能手机为基础的VR设备和个人计算机上实施BCI，比较两种环境下的用户体验和性能。数据集包含21名志愿者的EEG信号，通过标准研究级放大器和16个湿电极采集，数据量丰富，涵盖了从信号采集到用户反馈的全过程。创建过程中，使用了Unity引擎确保视觉刺激的一致性，并通过问卷收集了参与者的主观反馈。数据集主要应用于BCI性能评估和用户体验研究，旨在解决不同环境下BCI的适应性和效率问题。

This dataset was developed by GIPSA Laboratory for research on P300-based brain-computer interface (BCI). It implements BCI systems on consumer smartphone-powered VR devices and personal computers, aiming to compare user experience and performance across these two environments. The dataset includes EEG signals from 21 volunteers, collected using a standard research-grade amplifier and 16 wet electrodes, with comprehensive data covering the entire workflow from signal acquisition to participant feedback. During the development process, the Unity Engine was employed to guarantee the consistency of visual stimuli, and questionnaires were used to gather subjective feedback from participants. This dataset is primarily used for BCI performance evaluation and user experience studies, with the objective of resolving the adaptability and efficiency challenges of BCI across different environments.