{"title":"Smart glove for sign language translation","authors":"A. Abougarair","doi":"10.15406/iratj.2022.08.00253","DOIUrl":null,"url":null,"abstract":"The development of a wearable device-based sign language translator is discussed in this study. It can translate sign language into both speech and text. The glove-based gadget can read the motions of one arm and five fingers. The system consists of an accelerometer and five flex sensors to measure finger bending and arm motions, respectively. Based on the interaction of these sensors, the gadget can recognize specific motions that in American Sign Language (ASL) correspond to the alphabet and convert them into speech and text using a mobile phone application. The hardware design of the device is mostly explained in this publication. The gadget displayed an average value of 0.6 s to translate a sign language into speech and text based on early trial results on six simple sign languages, demonstrating the applicability of the suggested device.","PeriodicalId":346234,"journal":{"name":"International Robotics & Automation Journal","volume":"15 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Robotics & Automation Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15406/iratj.2022.08.00253","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
The development of a wearable device-based sign language translator is discussed in this study. It can translate sign language into both speech and text. The glove-based gadget can read the motions of one arm and five fingers. The system consists of an accelerometer and five flex sensors to measure finger bending and arm motions, respectively. Based on the interaction of these sensors, the gadget can recognize specific motions that in American Sign Language (ASL) correspond to the alphabet and convert them into speech and text using a mobile phone application. The hardware design of the device is mostly explained in this publication. The gadget displayed an average value of 0.6 s to translate a sign language into speech and text based on early trial results on six simple sign languages, demonstrating the applicability of the suggested device.