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B-COV:Bio-inspired Virtual Interaction for 3D Articulated Robotic Arm for Post-stroke Rehabilitation during Pandemic of COVID-19

机译:B-COV:在Covid-19流行病中,3D铰接式机器人手臂的生物启发虚拟互动

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The Coronavirus or COVID-19 is contagiousness virus that infected almost every single part of the world. This pandemic forced a major country did lockdown and stay at a home policy to reduce virus spread and the number of victims. Interactions between humans and robots form a popular subject of research worldwide. In medical robotics, the primary challenge is to implement natural interactions between robots and human users. Human communication consists of dynamic processes that involve joint attention and attracting each other. Coordinated care involves sharing among agents of behaviours, events, interests, and contexts in the world from time to time. The robotics arm is an expensive and complicated system because robot simulators are widely used instead of for rehabilitation purposes in medicine. Interaction in natural ways is necessary for disabled persons to work with the robot simulator. This article proposes a low-cost rehabilitation system by building an arm gesture tracking system based on a depth camera that can capture and interpret human gestures and use them as interactive commands for a robot simulator to perform specific tasks on the 3D block. The results show that the proposed system can help patients control the rotation and movement of the 3D arm using their hands. The pilot testing with healthy subjects yielded encouraging results. They could synchronize their actions with a 3D robotic arm to perform several repetitive tasks and exerting 19920 J of energy (kg.m2.S-2). The average of consumed energy mentioned before is in medium scale. Therefore, we relate this energy with rehabilitation performance as an initial stage and can be improved further with extra repetitive exercise to speed up the recovery process.
机译:冠状病毒或Covid-19是几乎每个世界各地感染的传染病病毒。这种大流行强迫一个主要国家确实锁定并留在家庭政策中,以减少病毒传播和受害者人数。人类与机器人之间的互动在全球范围内形成了一项民众的研究主题。在医学机器人中,主要挑战是在机器人和人类用户之间实施自然相互作用。人类的通信包括动态过程,涉及关注并互相吸引。协调护理涉及不时在世界的行为,事件,兴趣和情境的代理人之间分享。机器人臂是一种昂贵的复杂的系统,因为机器人模拟器被广泛使用而不是用于医学中的康复目的。残疾人与机器人模拟器合作的互动是必要的。本文通过构建基于深度摄像头的ARM手势跟踪系统提出了低成本的康复系统,该系统可以捕获和解释人类手势并将其用作机器人模拟器的交互式命令,以便在3D块上执行特定任务。结果表明,该系统可以帮助患者使用双手控制3D手臂的旋转和移动。具有健康受试者的试验试验产生了令人鼓舞的结果。他们可以将他们的行为与3D机器人手臂同步,以执行几种重复的任务,并施加19920 j的能量(kg.m2.s-2)。之前提到的消耗能量的平均值是中等规模。因此,我们将这种能量与康复性能称为初始阶段,可以通过额外的重复练习来提高速度,以加快恢复过程。

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