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Motion Information Acquisition from Human lower Limbs for Wearable Robot

机译:用于可穿戴机器人的人类下肢的运动信息获取

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In this paper, a wearable robot gives assistance or support to human locomotion is proposed, it will be of great value for certain activities or for special groups. As the wearable exoskeleton moves according to human intention, how to acquire human locomotion information accurately and quickly become so significantly. Firstly, we make a dynamic analysis of walking human body and build a correlative dynamic model, then introduces our wearable robot which depends on human-robot interaction force to capture human motion information real-time. Its design is strictly in accordance with dynamic model. We also make a detailed introduction of the acquisition method for mechanical information from lower limbs, detection device and its principle of operation, a LAN(Local Area Network) based on CAN(Controller Area Network) bus used to acquire motion information of human lower limbs is constructed. At last, a series of experiments are carried out, by analysis of experimental data, we can clearly recognize and depict a whole process of human motion, this acquisition method is verified feasible and effective.
机译:在本文中,提出了一种可穿戴机器人提供帮助或支持人类运动,对某些活动或特殊群体具有重要价值。随着可穿戴的外骨骼根据人类意图移动,如何准确迅速地获得人类运动信息。首先,我们对行走人体进行动态分析并建立一个相关动态模型,然后介绍我们可穿戴机器人,这取决于人机的相互作用力来实时捕获人类运动信息。其设计严格按照动态模型。我们还详细介绍了来自下肢,检测装置及其操作原理的机械信息的采集方法,基于CAN(控制器区域网络)总线用于获取人类下肢运动信息的LAN(局域网)是建造的。最后,通过分析实验数据进行了一系列实验,我们可以清楚地识别和描绘人类运动的整个过程,这种采集方法是可行的,有效的验证。

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