基于直觉控制的机械臂动力增强外骨骼设计与制造

Syed Usama Bin Sabir, Kashif Ahmed, Usama Sabir, Noman Naseer
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引用次数: 0

摘要

本文讨论了用于增强上肢的动力外骨骼的设计和测试阶段。采用步进电机驱动,制造出具有最佳重量的右上肢体外骨骼。该装置的输入信号是前臂肌肉运动的肌电图信号。握拳和手掌伸展是操作外骨骼的手势。利用二元分类器线性判别分析(Linear Discriminant Analysis)对这些手部运动的相应肌电信号进行训练,从而准确地生成操作设备的控制命令。该项目还包括获取和处理肌电信号。本设备的放大系数设置为1.5,以帮助用户在不引起肌肉疲劳的情况下长时间提升5至10 KG的负载。
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Design and Fabrication of Exoskeleton for Power Augmentation of Arm using Intuitive Control
In this paper, design and testing phase of a powered exoskeleton built for enhancement of upper limb, is discussed. An exoskeleton for right upper limb is made having optimal weight actuated by a stepper motor. The input signal for this device to operate is an EMG signal taken from muscular movements of muscles inside forearm. Clenching fist and palm extension are the hand gestures to operate exoskeleton. A binary classifier, Linear Discriminant Analysis, is trained for the corresponding EMG signals of these hand movements to generate control commands for operating device with accuracy. The project also includes acquiring and processing EMG signals. The augmenting factor of this device is set to 1.5 to assist user for lifting loads ranging from 5 to 10 KG for an extended period without causing muscular fatigue.
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