ULTRA-MoCap:一个多模体IMU和sEMG数据集用于上肢关节动力学分析
Oliver Fritsche1, Steven Camacho1, Md Sanzid Bin Hossain2,3
1University of Central Florida, Department of Computer Science, Orlando, 32826, US.
Scientific data
|March 6, 2026
概括
我们介绍ULTRA-MoCap数据集,用于使用可穿戴传感器进行高级上肢运动预测. 这种多模式数据集增强了生物力学研究和辅助技术开发.
科学领域:
- 生物力学 生物力学
- 可穿戴式传感器的感应
- 人与计算机的交互
背景情况:
- 多模式可穿戴传感器为康复和体育分析提供非侵入性的人类上肢运动预测.
- 现有的数据集缺乏全面的多模式数据 (IMU,sEMG) 和高可靠的上肢动力学.
- 目前的数据集难以捕捉孤立的单关节肘部和协调的多关节肩部运动.
研究的目的:
- 介绍上肢跟踪与多模式捕获 (ULTRA-MoCap) 数据集.
- 解决上肢运动分析现有数据集的局限性.
- 为生物力学和可穿戴传感研究提供一个全面的资源.
主要方法:
- 集成的多模式传感,包括惯性测量单元 (IMU) 和表面电肌图 (sEMG).
- 从手,手腕和前臂的IMU收集数据,以及双肩,三脚和骨上sEMG/IMU传感器的数据.
- 利用多度自由度的肌肉骨模型来实现高准确度的上肢动力学.
主要成果:
- 开发了ULTRA-MoCap数据集,集成IMU,sEMG和详细的动力学.
- 收集了来自13名受试者的数据,他们以不同的速度执行了五种不同的上肢运动.
- 建立了一个强大的数据收集和处理管道,用于多模式传感器数据.
结论:
- ULTRA-MoCap数据集推动了人类上肢运动预测方面的研究.
- 这一数据集支持各种应用,包括康复,体育分析和辅助设备控制.
- ULTRA-MoCap为生物力学,可穿戴传感和运动分析研究提供了宝贵的资源.
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