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.

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。