Vogtareuth Rehab (VtR) and Vogtareuth Rehab – Optitrack (VtR-O)

本研究提出了两个专为康复领域设计的深度图像数据集：Vogtareuth Rehab (VtR)和Vogtareuth Rehab – Optitrack (VtR-O)。这些数据集包含了成人和儿童在执行康复练习时的深度图像和2D姿势信息，涵盖了多种性别和年龄段，以及不同程度的关节活动范围。创建过程中，使用了先进的无标记姿势估计模型，并通过Kinect和Optitrack系统进行数据采集和同步。这些数据集主要用于训练和评估深度学习模型，以解决康复领域中复杂姿势的准确识别问题，从而提高康复治疗的效果和效率。

This study presents two depth image datasets tailored for the rehabilitation domain: Vogtareuth Rehab (VtR) and Vogtareuth Rehab – Optitrack (VtR-O). These datasets include depth images and 2D pose information of adults and children performing rehabilitation exercises, covering diverse genders, age groups, and varying ranges of joint motion. During the development of the datasets, advanced markerless pose estimation models were employed, and data was collected and synchronized using Kinect and Optitrack systems. These datasets are primarily used for training and evaluating deep learning models to address the accurate recognition of complex poses in the rehabilitation field, thereby improving the effectiveness and efficiency of rehabilitation therapy.

搜集汇总

背景与挑战

背景概述

Vogtareuth Rehab (VtR)和Vogtareuth Rehab – Optitrack (VtR-O)是两个康复领域的深度图像数据集，包含成人和儿童康复练习的深度图像和2D姿势信息，用于训练和评估深度学习模型以提高康复治疗的姿势识别准确性。数据采集使用了Kinect和Optitrack系统，覆盖多种性别、年龄段和关节活动范围。