健康与步态:用于基于步态的分析数据集
Jorge Zafra-Palma1,2, Nuria Marín-Jiménez3,4, José Castro-Piñero3,4
1University of Cordoba, Department of Computing and Numerical Analysis, Córdoba, 14071, Spain. jzafra@uco.es.
Scientific data
|January 10, 2025
概括
这项研究介绍了Health&Gait,这是一个用于使用视频进行自动步行分析的新型数据集. 它可以通过移动设备更轻松地评估身体状况,在医疗保健中推进人工视觉.
科学领域:
- 生物医学工程 生物医学工程
- 计算机视觉 计算机视觉
- 人类运动分析分析
背景情况:
- 步态指标和人类计量数据对于评估身体状况至关重要.
- 目前的自动化步态分析方法使用昂贵的专用设备.
- 需要可访问,移动设备可操作的解决方案.
研究的目的:
- 介绍Health&Gait,这是第一个基于视频的步态分析数据集.
- 为开发和评估用于步态评估的人工视觉算法提供全面的数据集.
- 为了促进自动化患者监测和减少医疗保健专业人员的负担.
主要方法:
- 收集了来自398名参与者的1564个视频.
- 数据集包括参与者轮,语义细分,光学流和人类姿势.
- 数据还包含人体测量 (性别,身高,体重) 和步行参数 (步骤/脚步长度,步行速度).
主要成果:
- 技术评估证明了视频中提取的信息和步态参数的实用性.
- 成功完成了诸如性别分类和体重和年龄回归等任务.
- 数据集的丰富性支持自动化步行分析中的多种应用.
结论:
- 健康与步态是推进基于视频的步态分析的宝贵资源.
- 该数据集支持开发可访问的,移动第一的人工视觉系统,用于医疗保健.
- 促进自动化身体状况评估和患者监测的进展.
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