一个光学摄像头和IMU传感器的数据集推导了30名穿关节假肢佩戴者的动力学
Manunchaya Samala1, Jutima Rattanakoch1, Gary Guerra2
1Sirindhorn School of Prosthetics and Orthotics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Scientific data
|August 24, 2024
概括
这项研究引入了一个新的开放数据集,该数据集涉及穿腿假肢的使用者.
科学领域:
- 生物力学 生物力学
- 康复工程 康复工程
- 数据科学数据科学数据科学
背景情况:
- 运动分析对于假肢使用者的步态评估和假肢组件设计至关重要.
- 有限的开放数据集和很少的参与者数量阻碍了对跨关节假肢使用者的运动研究.
- 了解截肢者的步态对于开发先进的假肢技术至关重要.
研究的目的:
- 为了呈现一个新的,全面的开放数据集的跨关节假肢使用者的步态.
- 促进截肢者的步态检测,跟踪和假肢组件开发方面的研究.
- 提供有价值的控制数据用于对假肢研究中的比较分析.
主要方法:
- 收集了30名跨关节假肢使用者在10米长的步道上行走的步态数据.
- 使用惯性测量单元 (IMU) 信号来导出关节角度数据.
- 采用光学运动捕捉 (OMC) 系统来收集原始标记轨迹数据.
主要成果:
- 创建了一个数据集,包括来自IMU和OMC数据的联合角度.
- 提供C3D格式的原始标记轨迹数据.
- 在CSV中格式化联合角度数据,以使其易于访问.
结论:
- 开放数据集为截肢者的步态分析研究人员提供了宝贵的资源.
- 这些数据将支持开发先进的步态检测和跟踪算法.
- 该数据集作为评估新假肢组件的基本控制数据.
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