{"title":"使用kinect跟踪操纵器慢跑的指尖","authors":"S. V. Delden, Grace Chenevert, John W. Burris","doi":"10.1109/TePRA.2015.7219690","DOIUrl":null,"url":null,"abstract":"This paper reports on an interactive Human-Robot system which uses the Microsoft Kinect to track a human finger tip. By pointing to target locations in the robotic manipulator's workarea, a user can intuitively and rapidly develop certain types of industrial robotic applications. The efficacy of the system is limited by the Kinect's ability to precisely identify the finger tip in 3D space. Such Human-Computer Interactive devices are typically used to track large movements/gestures by a user in gaming and other applications. Empirical results are reported which show that the approach is able to precisely identify 3D location data and that the accuracy of the system is limited to the width of the user's finger.","PeriodicalId":325788,"journal":{"name":"2015 IEEE International Conference on Technologies for Practical Robot Applications (TePRA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Finger tip tracking for manipulator jogging using the kinect\",\"authors\":\"S. V. Delden, Grace Chenevert, John W. Burris\",\"doi\":\"10.1109/TePRA.2015.7219690\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper reports on an interactive Human-Robot system which uses the Microsoft Kinect to track a human finger tip. By pointing to target locations in the robotic manipulator's workarea, a user can intuitively and rapidly develop certain types of industrial robotic applications. The efficacy of the system is limited by the Kinect's ability to precisely identify the finger tip in 3D space. Such Human-Computer Interactive devices are typically used to track large movements/gestures by a user in gaming and other applications. Empirical results are reported which show that the approach is able to precisely identify 3D location data and that the accuracy of the system is limited to the width of the user's finger.\",\"PeriodicalId\":325788,\"journal\":{\"name\":\"2015 IEEE International Conference on Technologies for Practical Robot Applications (TePRA)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Technologies for Practical Robot Applications (TePRA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TePRA.2015.7219690\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Technologies for Practical Robot Applications (TePRA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TePRA.2015.7219690","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Finger tip tracking for manipulator jogging using the kinect
This paper reports on an interactive Human-Robot system which uses the Microsoft Kinect to track a human finger tip. By pointing to target locations in the robotic manipulator's workarea, a user can intuitively and rapidly develop certain types of industrial robotic applications. The efficacy of the system is limited by the Kinect's ability to precisely identify the finger tip in 3D space. Such Human-Computer Interactive devices are typically used to track large movements/gestures by a user in gaming and other applications. Empirical results are reported which show that the approach is able to precisely identify 3D location data and that the accuracy of the system is limited to the width of the user's finger.