J. S. Artal-Sevil, J. Montanes, A. Acón, J. Domínguez
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引用次数: 9
摘要
本文档展示了一个小型仿生手操作的控制算法的开发和实现。作为一种实时手势识别系统,Leap Motion Controller商用设备已经得到应用。其目的是模拟手和手指的自然运动。如今,与机器人技术和现代控制技术相关的技术进步使这些知识学科被用作教育的补充。因此,这些概念已被纳入基础教育和高等教育。通过远程控制开发和实施机器人元件的高级控制策略,是学术工作的一个明显例子,它会给科学、技术和工程专业的学生带来额外的动力。另一方面,Final Year Project (TFG)或Final Master Project (TFM)是一项学术活动,可以详细评估学生在大学教育期间获得的不同能力。本文提出了一种基于实时手势识别技术的仿生手管理的最新电子应用。因此,模拟人手的自由度(DOF)的仿生手的控制已被开发出来。最初的目标已圆满实现。因此,机器人原型已经超出了最初的预期。此外,它的成本一直很低。
Control of a Bionic Hand using real-time gesture recognition techniques through Leap Motion Controller
This document has shown the development and implementation of a control algorithm for the operation of a small bionic hand. As a real-time gesture recognition system, Leap Motion Controller commercial device has been used. The purpose has been to simulate the natural movement of the hand and fingers. Nowadays, technological advances related to robotics and modern control techniques have caused these disciplines of knowledge to be used as an educational complement. Thus, these concepts have been incorporated both in basic education and in higher education. Develop and implement advanced control strategies in robotic elements, by remote control, is a clear example of academic work that causes extra motivation in science, technology and engineering students. On the other hand, Final Year Project (TFG) or Final Master Project (TFM), constitutes an academic activity that allows to evaluate in detail the different competences acquired by the students during their university education period. In this paper, a novel and current electronic application is presented, based on the management of a bionic hand using real-time gesture recognition techniques. As a result, the control of a bionic hand that simulates the degrees of freedom (DOF) of the human hand has been developed. The initial objectives have been satisfactorily resolved. So the robotic prototype built has exceeded initial expectations. In addition, its cost has been low.