GaitRec-VR: A 3D Gait Analysis Dataset of Healthy Individuals Walking Overground with and without a Head-Mounted-Display in Immersive Virtual Reality

This data descriptor introduces "GaitRec-VR", a 3D gait analysis dataset collected from 21 healthy participants (9 males, 12 females) as they walked in both a real-world lab and varying sizes of its virtual reality replicas. These VR experiences were facilitated using a head-mounted display, replicating the lab in three different dimensions. Data was captured with a 12-camera motion capture system and one synchronized force plate. Available in both c3d and csv formats, this dataset allows for a direct comparison between real-world and virtual walking experiences, proving valuable for biomechanics, gait analysis, and VR research.

本数据描述文档介绍了「GaitRec-VR」数据集——一款三维步态分析数据集，其采集自21名健康受试者（9名男性、12名女性）在真实实验室及其不同尺寸虚拟现实复刻场景中行走时的数据。该虚拟现实场景通过头戴式显示器（head-mounted display）实现，以三维空间复刻该实验室环境。数据采集采用12摄像头运动捕捉系统与一台同步测力台完成。本数据集提供c3d与csv两种格式，可用于直接对比真实与虚拟行走场景下的步态数据，在生物力学、步态分析及虚拟现实研究领域均具有较高应用价值。

搜集汇总

背景与挑战

背景概述

GaitRec-VR数据集是一个包含21名健康参与者在现实和虚拟现实环境中行走的3D步态分析数据集，使用头戴显示器模拟不同尺寸的虚拟实验室环境。数据集通过12摄像头运动捕捉系统和力板采集，支持c3d和csv格式，适用于生物力学和VR研究。