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Whole-Body Human Inverse Dynamics with Distributed Micro-Accelerometers Gyros and Force Sensing

机译:具有分布式微加速度计陀螺仪和力感测的整体人体逆动力学

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摘要

Human motion tracking is a powerful tool used in a large range of applications that require human movement analysis. Although it is a well-established technique, its main limitation is the lack of estimation of real-time kinetics information such as forces and torques during the motion capture. In this paper, we present a novel approach for a human soft wearable force tracking for the simultaneous estimation of whole-body forces along with the motion. The early stage of our framework encompasses traditional passive marker based methods, inertial and contact force sensor modalities and harnesses a probabilistic computational technique for estimating dynamic quantities, originally proposed in the domain of humanoid robot control. We present experimental analysis on subjects performing a two degrees-of-freedom bowing task, and we estimate the motion and kinetics quantities. The results demonstrate the validity of the proposed method. We discuss the possible use of this technique in the design of a novel soft wearable force tracking device and its potential applications.
机译:人体运动跟踪是功能强大的工具,可广泛用于需要人体运动分析的应用中。尽管这是一项公认的技术,但其主要局限性在于缺乏对运动捕获过程中的实时动力学信息(例如力和扭矩)的估计。在本文中,我们提出了一种用于人体柔软可穿戴力跟踪的新方法,用于同时估算全身力和运动。我们框架的早期阶段包括传统的基于被动标记的方法,惯性和接触力传感器模态,并利用了一种用于估计动态量的概率计算技术,该技术最初是在类人机器人控制领域提出的。我们目前对执行两个自由度鞠躬任务的受试者进行实验分析,并估算运动量和动力学量。结果证明了该方法的有效性。我们讨论了这种技术在新型软耐磨力跟踪装置设计中的可能用途及其潜在应用。

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