S. Chaman, Jay Jani, Henson Fernandes, Rahila Dhuka, Dhanvin Mehta
{"title":"Real Time Gesture to Automotive Control","authors":"S. Chaman, Jay Jani, Henson Fernandes, Rahila Dhuka, Dhanvin Mehta","doi":"10.1109/ICCTCT.2018.8550879","DOIUrl":null,"url":null,"abstract":"Real Time Gesture to Automotive Control (G2AC) system is developed in this paper, using hand gesture recognition to handle the media player in automotive. The system presents fast gesture recognition with low complexity algorithms for controlling real-time media in automotive systems. In the proposed vision-based system two modules are interconnected: one module recognizes the hand gesture in the region of interaction and another module does the task of selection of music from the media player using Raspberry pi. The proposed G2AC system is able to recognize real time hand gestures with 98 percent accuracy which is demonstrated using a hand gesture data set collected under different settings of illumination variation, hand orientation and occlusion.","PeriodicalId":344188,"journal":{"name":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","volume":"207 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Current Trends towards Converging Technologies (ICCTCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCTCT.2018.8550879","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
Real Time Gesture to Automotive Control (G2AC) system is developed in this paper, using hand gesture recognition to handle the media player in automotive. The system presents fast gesture recognition with low complexity algorithms for controlling real-time media in automotive systems. In the proposed vision-based system two modules are interconnected: one module recognizes the hand gesture in the region of interaction and another module does the task of selection of music from the media player using Raspberry pi. The proposed G2AC system is able to recognize real time hand gestures with 98 percent accuracy which is demonstrated using a hand gesture data set collected under different settings of illumination variation, hand orientation and occlusion.