{"title":"使用深度传感器和KSVM分类器识别阿拉伯手语手势","authors":"Miada Almasre, H. Al-Nuaim","doi":"10.1109/CEEC.2016.7835904","DOIUrl":null,"url":null,"abstract":"The objective of this research is to detect, recognize and interpret hand gestures of Arabic Sign Language (ArSL) letters using two sensor devices - Microsoft's Kinect and a Leap Motion Controller (LMC).","PeriodicalId":114518,"journal":{"name":"2016 8th Computer Science and Electronic Engineering (CEEC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Recognizing Arabic Sign Language gestures using depth sensors and a KSVM classifier\",\"authors\":\"Miada Almasre, H. Al-Nuaim\",\"doi\":\"10.1109/CEEC.2016.7835904\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The objective of this research is to detect, recognize and interpret hand gestures of Arabic Sign Language (ArSL) letters using two sensor devices - Microsoft's Kinect and a Leap Motion Controller (LMC).\",\"PeriodicalId\":114518,\"journal\":{\"name\":\"2016 8th Computer Science and Electronic Engineering (CEEC)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 8th Computer Science and Electronic Engineering (CEEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEEC.2016.7835904\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 8th Computer Science and Electronic Engineering (CEEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEEC.2016.7835904","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Recognizing Arabic Sign Language gestures using depth sensors and a KSVM classifier
The objective of this research is to detect, recognize and interpret hand gestures of Arabic Sign Language (ArSL) letters using two sensor devices - Microsoft's Kinect and a Leap Motion Controller (LMC).
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