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Feasibility Study of Inertial Sensor-based Joint Moment Estimation Method During Human Movements: A Test of Multi-link Modeling of the Trunk Segment

机译:人类运动期间惯性传感器的联合力矩估计方法的可行性研究:中继段多链路建模的测试

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The conventional method of estimating joint moments needs kinematic data measured with a 3D optical motion measurement system and ground reaction forces measured with force plate. However, the conventional method is limited generally to laboratory use because of the required measurement systems. Therefore, we proposed a convenient method to estimate joint moments from measurements only with inertial sensors for application to clinical evaluation of motor function of paralyzed and elderly subjects. In this paper, multi-link modeling of the trunk was examined for reliable estimation of joint moments only from measured data with inertial sensors attached on the body. Body segment parameters (segment length and mass, center of mass location and moments of inertia) were calculated from anthropometric data. Experimental test with 3 healthy subjects showed that segmented trunk model estimated joint moments better than a rigid trunk model for squat and sit-to-stand movements. The estimation results were not different largely between the 5-link model that modeled the trunk by 3 segments and the 4-link model that modeled the trunk by 2 segments. However, trunk modeling for 4-link model was suggested to be appropriate when the upper and the middle trunk segments of the 5-link model were modeled as one segment.
机译:估计关节矩的传统方法需要用3D光学运动测量系统测量的运动数据和用力板测量的接地反作用力。然而,由于所需的测量系统,常规方法通常受到实验室使用的限制。因此,我们提出了一种方便的方法来估计来自惯性传感器的测量的联合时刻,用于应用于瘫痪和老年人的运动功能的临床评估。在本文中,检查了树干的多链路建模,以便仅从具有附着在体内的惯性传感器的测量数据中可靠地估计联合矩。从人体测量数据计算身体段参数(段长度和质量位置和惯性矩)。具有3个健康受试者的实验试验表明,分段后备箱模型估计了联合时刻,优于蹲下的刚性躯干模型和静坐的运动。估计结果在大致之间没有不同的5-Link模型,该模型在3个段和4个链路模型中建模的3个段,由2个段建模中继。然而,当5-Link模型的上层和中间干线被建模为一个段时,建议为4-Link模型的中继建模是合适的。

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