Move4AS: A Multimodal Dataset Addressing Motor Function in Autism

The Move4AS dataset focuses on the study of motor function in autism. It combines multiple data modalities, including electroencephalography (EEG) and 3D motion data, collected during motor imitation tasks - dancing and walking - designed to recruit motor function in emotional and social contexts. It comprises a control group of 20 participants and a clinical group of 14 participants. EEG was recorded through a 16-channel wireless EEG cap, and 3D motion was captured using marker-based motion capture suit tracked by a 10-camera setup. Additionally, the dataset includes neuropsychological characterization of the participants (IQ and autism score).

Move4AS数据集聚焦于自闭症群体的运动功能研究。该数据集整合多模态数据，涵盖脑电图（electroencephalography，EEG）与三维运动数据，相关数据采集自运动模仿任务——舞蹈与行走——此类任务旨在激活情绪与社交场景下的运动功能。数据集包含20名对照组被试与14名临床组被试。脑电图数据通过16通道无线脑电帽采集，三维运动数据则由10摄像头捕捉系统追踪的标记式运动捕捉服采集。此外，该数据集还包含被试的神经心理学特征信息，包括智商（IQ）与自闭症评分。

搜集汇总

背景与挑战

背景概述

Move4AS是一个多模态数据集，专注于研究自闭症患者的运动功能，包含脑电图(EEG)和3D运动数据，采集于20名对照组和14名临床组参与者的运动模仿任务。数据集还包含参与者的神经心理学特征，如IQ和自闭症评分。