J. S. Artal-Sevil, J. Montanes, A. Acón, J. Domínguez
{"title":"Control of a Bionic Hand using real-time gesture recognition techniques through Leap Motion Controller","authors":"J. S. Artal-Sevil, J. Montanes, A. Acón, J. Domínguez","doi":"10.1109/TAEE.2018.8476122","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":304068,"journal":{"name":"2018 XIII Technologies Applied to Electronics Teaching Conference (TAEE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 XIII Technologies Applied to Electronics Teaching Conference (TAEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAEE.2018.8476122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
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.