{"title":"基于骨架的手势来控制机械手","authors":"Muhammad Fuad","doi":"10.1109/ICAMIMIA.2015.7508010","DOIUrl":null,"url":null,"abstract":"The key aspect to control the motion of manipulator intuitively is ability to map both joints on human and machine. This research proposes a method to interact with arm robot by using gesture based on skeleton image of user that is read from Kinect sensor. Velocity of each joint is defined by measuring angle rotation of every bone with respect to previous linked bone. Experiments has been carried out to manipulate SCORBOT-ER 9Pro with ability to handle 4 of 5 axises.","PeriodicalId":162848,"journal":{"name":"2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Skeleton based gesture to control manipulator\",\"authors\":\"Muhammad Fuad\",\"doi\":\"10.1109/ICAMIMIA.2015.7508010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The key aspect to control the motion of manipulator intuitively is ability to map both joints on human and machine. This research proposes a method to interact with arm robot by using gesture based on skeleton image of user that is read from Kinect sensor. Velocity of each joint is defined by measuring angle rotation of every bone with respect to previous linked bone. Experiments has been carried out to manipulate SCORBOT-ER 9Pro with ability to handle 4 of 5 axises.\",\"PeriodicalId\":162848,\"journal\":{\"name\":\"2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAMIMIA.2015.7508010\",\"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 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAMIMIA.2015.7508010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The key aspect to control the motion of manipulator intuitively is ability to map both joints on human and machine. This research proposes a method to interact with arm robot by using gesture based on skeleton image of user that is read from Kinect sensor. Velocity of each joint is defined by measuring angle rotation of every bone with respect to previous linked bone. Experiments has been carried out to manipulate SCORBOT-ER 9Pro with ability to handle 4 of 5 axises.