Bosio Corentin, Sauret Christophe, Thoreux Patricia, Chadefaux Delphine
Arts et Métiers Institute of Technology, EPF Engineering School, Université Sorbonne Paris Nord, IBHGC-Institut de Biomécanique Humaine Georges Charpak, F-75013 Paris, France.
Centre d'Etudes et de Recherche sur l'Appareillage des Handicapés, Institution Nationale des Invalides, F-75007 Paris, France.
Sensors (Basel). 2025 Jul 23;25(15):4569. doi: 10.3390/s25154569.
(1) On-board accelerometers are increasingly employed in real-world biomechanics to monitor vibrations and shocks. This study assesses the accuracy, repeatability, and variability of three commercially available inertial measurement units (IMUs)-Xsens, Blue Trident, and Shimmer 3-in measuring vibration and shock parameters relevant to human motion analysis. (2) A controlled laboratory setup utilizing an electrodynamic shaker was employed to generate sine waves at varying frequencies and amplitudes, as well as shock profiles with defined peak accelerations and durations. (3) The results showed that Blue Trident demonstrated the highest accuracy in shock amplitude and timing, with relative errors below 6%, while Xsens provided stable measurements for low-frequency vibrations. In contrast, Shimmer 3 exhibited considerable variability in signal quality. (4) These findings offer critical insights into sensor selection based on specific application needs, ensuring optimal accuracy and reliability in dynamic measurement environments. This study lays the groundwork for improved IMU application in biomechanical research and practical deployments. Future research should continue to investigate sensor performance, particularly in angular motion contexts, to further enhance motion analysis capabilities.
(1)车载加速度计在实际生物力学中越来越多地用于监测振动和冲击。本研究评估了三种市售惯性测量单元(IMU)——Xsens、Blue Trident和Shimmer 3——在测量与人体运动分析相关的振动和冲击参数时的准确性、可重复性和变异性。(2)利用电动振动台的受控实验室设置被用于生成不同频率和幅度的正弦波,以及具有定义的峰值加速度和持续时间的冲击曲线。(3)结果表明,Blue Trident在冲击幅度和定时方面表现出最高的准确性,相对误差低于6%,而Xsens为低频振动提供了稳定的测量。相比之下,Shimmer 3在信号质量方面表现出相当大的变异性。(4)这些发现为基于特定应用需求的传感器选择提供了关键见解,确保在动态测量环境中的最佳准确性和可靠性。本研究为改进IMU在生物力学研究和实际部署中的应用奠定了基础。未来的研究应继续调查传感器性能,特别是在角运动环境中,以进一步提高运动分析能力。
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