基于地面反作用力和人的行为的扩展卡尔曼滤波的操作力估计方法

T. Noro, Yusuke Katsuda, T. Miyoshi, K. Terashima
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引用次数: 1

摘要

本实验室以辅助操作人员为目标,提出了助力悬索系统。开发了一种基于地面反作用力和人的行为来估计操作力的系统。然而,有必要用传统的人体动力学模型来测量人体17个点的人体行为(位置、速度和加速度)。因此,由于大量的传感器,该系统非常昂贵且不实用。此外,较少的传感器单元降低了作战力的估计精度。为了提高操作力的估计精度,对连杆的重心位置和质量位置进行识别是十分重要的。因此,本文提出了一种新的人体动力学模型,该模型采用基于人类行为的扩展卡尔曼滤波器,仅使用6个传感器单元和地面反作用力来估计操作力和参数。通过实验验证了该方法提高了估计精度。
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Estimation method of operating force using an extended Kalman filter based on ground reaction force and human behavior
Aiming to assist operators, our laboratory had proposed power assisted wire suspension system. A system to estimate the operating force based on ground reaction force and human behavior has been developed. However, it is necessary to measure the human behavior (position, velocity, and acceleration) of 17 points on the body with the conventional human dynamics model. Therefore, the system is extremely expensive and not practical, because of large number of sensors. In addition, fewer sensor units worsen the estimation accuracy of the operating force. In order to improve the estimation accuracy of the operating force, it is important to identify positions of center-of-gravity and masses of links. Thus, this paper presents the novel human dynamics model estimating the operating force and parameters using extended Kalman filter based on human behavior with only 6 sensor units and ground reaction force. Improvement of the estimation accuracy is confirmed by experiments.
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