Venek Verena, Kremser Wolfgang, Schneider Cornelia
Salzburg Research Forschungsgesellschaft mbH, Salzburg, Austria.
Stud Health Technol Inform. 2018;248:156-163.
Existing full-body tracking systems, which use Inertial Measurement Units (IMUs) as sensing unit, require expert knowledge for setup and data collection. Thus, the daily application for human body tracking is difficult. In particular, in the field of active and assisted living (AAL), tracking human movements would enable novel insights not only into the quantity but also into the quality of human movement, for example by monitoring functional training. While the current market offers a wide range of products with vastly different properties, literature lacks guidelines for choosing IMUs for body tracking applications. Therefore, this paper introduces developments towards an IMU evaluation framework for human body tracking which compares IMUs against five requirement areas that consider device features and data quality. The data quality is assessed by conducting a static and a dynamic error analysis. In a first application to four IMUs of different component consumption, the IMU evaluation framework convinced as promising tool for IMU selection.
现有的全身跟踪系统使用惯性测量单元（IMU）作为传感单元，其设置和数据收集需要专业知识。因此，人体跟踪的日常应用存在困难。特别是在主动和辅助生活（AAL）领域，跟踪人体运动不仅能够对人体运动的数量，而且能够对其质量产生新的见解，例如通过监测功能训练。虽然当前市场上提供了大量具有截然不同特性的产品，但文献中缺乏针对人体跟踪应用选择IMU的指导方针。因此，本文介绍了一种用于人体跟踪的IMU评估框架的进展，该框架将IMU与考虑设备特性和数据质量的五个要求领域进行比较。通过进行静态和动态误差分析来评估数据质量。在首次应用于四种不同组件功耗的IMU时，IMU评估框架被证明是一种很有前景的IMU选择工具。
