{"title":"利用三维手部跟踪技术远程控制人工手臂模型","authors":"G. Baron, P. Czekalski, D. Malicki, K. Tokarz","doi":"10.1109/SELM.2013.6562954","DOIUrl":null,"url":null,"abstract":"Modern sensing technologies create new possibilities to control mobile robots without any dedicated manipulators. In this article authors present a novel method that enables driving of the Mindstorms NXT artificial arm with Microsoft Kinect, using gesture recognition. To imitate movement of an artificial robotic arm, an algorithm of the human-computer interaction is employed using skeleton tracking and gesture control in 3D space.","PeriodicalId":244408,"journal":{"name":"2013 International Symposium on Electrodynamic and Mechatronic Systems (SELM)","volume":"277 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Remote control of the artificial arm model using 3D hand tracking\",\"authors\":\"G. Baron, P. Czekalski, D. Malicki, K. Tokarz\",\"doi\":\"10.1109/SELM.2013.6562954\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern sensing technologies create new possibilities to control mobile robots without any dedicated manipulators. In this article authors present a novel method that enables driving of the Mindstorms NXT artificial arm with Microsoft Kinect, using gesture recognition. To imitate movement of an artificial robotic arm, an algorithm of the human-computer interaction is employed using skeleton tracking and gesture control in 3D space.\",\"PeriodicalId\":244408,\"journal\":{\"name\":\"2013 International Symposium on Electrodynamic and Mechatronic Systems (SELM)\",\"volume\":\"277 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Symposium on Electrodynamic and Mechatronic Systems (SELM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SELM.2013.6562954\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Symposium on Electrodynamic and Mechatronic Systems (SELM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SELM.2013.6562954","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Remote control of the artificial arm model using 3D hand tracking
Modern sensing technologies create new possibilities to control mobile robots without any dedicated manipulators. In this article authors present a novel method that enables driving of the Mindstorms NXT artificial arm with Microsoft Kinect, using gesture recognition. To imitate movement of an artificial robotic arm, an algorithm of the human-computer interaction is employed using skeleton tracking and gesture control in 3D space.