{"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}
引用次数: 16
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).
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