Department of Mechatronics and Medical Engineering, Biomechatronics Research Group, University of Applied Sciences, Ulm, Germany.
Biomed Tech (Berl). 2023 Jan 23;68(3):263-273. doi: 10.1515/bmt-2021-0329. Print 2023 Jun 27.
Synchronisation of wireless inertial measurement units in human movement analysis is often achieved using event-based synchronisation techniques. However, these techniques lack precise event generation and accuracy. An inaccurate synchronisation could lead to large errors in motion estimation and reconstruction and therefore wrong analysis outputs.
We propose a novel event-based synchronisation technique based on a magnetic field, which allows sub-sample accuracy. A setup featuring Shimmer3 inertial measurement units is designed to test the approach.
The proposed technique shows to be able to synchronise with a maximum offset of below 2.6 ms with sensors measuring at 100 Hz. The investigated parameters suggest a required synchronisation time of 8 s.
The results indicate a reliable event generation and detection for synchronisation of wireless inertial measurement units. Further research should investigate the temperature changes that the sensors are exposed to during human motion analysis and their influence on the internal time measurement of the sensors. In addition, the approach should be tested using inertial measurement units from different manufacturers to investigate an identified constant offset in the accuracy measurements.
在人体运动分析中,通常使用基于事件的同步技术来实现无线惯性测量单元的同步。然而,这些技术缺乏精确的事件生成和准确性。不准确的同步可能导致运动估计和重建中的大误差,并因此导致错误的分析结果。
我们提出了一种基于磁场的新的基于事件的同步技术,该技术允许亚采样精度。设计了一个具有 Shimmer3 惯性测量单元的设置来测试该方法。
所提出的技术显示能够以低于 2.6 ms 的最大偏移进行同步,传感器以 100 Hz 进行测量。研究的参数表明需要 8 秒的同步时间。
结果表明,无线惯性测量单元的同步具有可靠的事件生成和检测。进一步的研究应调查传感器在人体运动分析中所经历的温度变化及其对传感器内部时间测量的影响。此外,应使用来自不同制造商的惯性测量单元来测试该方法,以研究在准确性测量中发现的恒定偏移。