Real World Table Tennis

Our dataset contains high-density, dual-layer electroencephalography (EEG), neck electromyography (EMG), inertial measurement unit (IMU) acceleration, T1 structural MR images, and video data from 25 participants playing real-world table tennis. Participants played 60 minutes of table tennis (in total) with a ball machine and a human player, with an additional 10 minutes of standing baseline. For 17 of the participants, we also include video data of all trials. The Adobe Premiere project files (linked to each video) have the timing of hit events marked. Data in the main subject folders have been processed. We include the ICA decomposition and dipole model in EEG.etc. The components retained in our analyses are shown in EEG.etc.KeepComponents. The raw data can be found in the sourcedata folder. Please refer to our publication for more details.本数据集涵盖25名参与真实乒乓球运动的受试者的多模态数据，包括高密度双层脑电图（electroencephalography, EEG）、颈部肌电图（electromyography, EMG）、惯性测量单元（inertial measurement unit, IMU）加速度数据、T1结构磁共振成像（T1 structural MR images）以及视频数据。受试者总计完成60分钟乒乓球运动，分别与发球机及真人对打，另设有10分钟的静站基线采集阶段。针对其中17名受试者，我们还提供了全部试次的视频数据；每个视频配套的Adobe Premiere项目文件中，已标注出击球事件的时间节点。 主受试者文件夹内的数据均已完成预处理。我们为脑电图等模态提供了独立成分分析（Independent Component Analysis, ICA）分解结果与偶极子模型。本研究分析中保留的成分已在EEG.etc.KeepComponents文件中列明。原始数据可于sourcedata文件夹中获取。 更多细节请参阅本研究的已发表论文。

搜集汇总

背景与挑战

背景概述

该数据集是一个多模态神经科学数据集，专注于真实世界乒乓球活动，包含25名参与者的高密度脑电图（EEG）、颈部肌电图（EMG）、惯性测量单元（IMU）加速度、T1结构磁共振图像（MRI）和视频数据。数据记录了60分钟的比赛（包括与发球机和人类对手交互）和10分钟基线，部分视频带有击球事件标记，已进行ICA分解等处理，适用于运动神经机制研究。