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Leg Control based on Human Motion Prediction Using Motion Sensor for Power Assist Suit without Binding Knee

机译:基于人体运动预测的腿部控制使用运动传感器进行无约束膝关节的动力辅助套装

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摘要

Recently, power assist suits which support human physical activities have been researched. We are developing a power assist suit for workers in a nuclear power plant. If adisaster happens, the workers have to wear heavy radiation protective equipment. The power assist suit is supposed to support the wearer so that it reduces the load of the radiation protection equipment during an operation. This paper proposes a power assist control method based on motion prediction using 9-axis motion sensors. The power assist suit enables rapid power assist because the motion sensor can detect the start of walking motion in real time. A motion database consists of angles and angular velocities of wearer’s chest, lower limbs, and joint angles of the power assist suit. The power assist suit recognizes the motion of the wearer based on the database.Then, it assists the wearer based on the estimation of the motion of the wearer. We conduct experiments to evaluate the proposed method.
机译:最近,已经研究了支持人类身体活动的动力辅助服。我们正在为核电厂的工人开发动力辅助服。如果发生灾难,工人必须穿戴重型防辐射设备。动力辅助服应支撑穿戴者,以减轻手术过程中辐射防护设备的负荷。提出了一种基于运动预测的9轴运动传感器助力控制方法。动力辅助服能够实现快速的动力辅助,因为运动传感器可以实时检测步行运动的开始。运动数据库由穿戴者的胸部,下肢的角度和角速度以及电动辅助服的关节角度组成。动力辅助服基于数据库识别穿戴者的运动,然后基于对穿戴者运动的估计为穿戴者提供帮助。我们进行实验以评估所提出的方法。

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