Real time hand gesture recognition for computer interaction

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dc.citation.epage77en_US
dc.citation.spage73en_US
dc.contributor.authorFarooq, J.en_US
dc.contributor.authorAli, Muhaddisa Baraten_US
dc.coverage.spatialIslamabad, Pakistan
dc.date.accessioned2016-02-08T12:03:20Z
dc.date.available2016-02-08T12:03:20Z
dc.date.issued2014-04en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 22-24 April 2014
dc.descriptionConference name: 2014 International Conference on Robotics and Emerging Allied Technologies in Engineering (iCREATE)
dc.description.abstractHand gesture recognition is a natural and intuitive way to interact with the computer, since interactions with the computer can be increased through multidimensional use of hand gestures as compare to other input methods. The purpose of this paper is to explore three different techniques for HGR (hand gesture recognition) using finger tips detection. A new approach called 'Curvature of Perimeter' is presented with its application as a virtual mouse. The system presented, uses only a webcam and algorithms which are developed using computer vision, image and the video processing toolboxes of Matlab. © 2014 IEEE.en_US
dc.identifier.doi10.1109/iCREATE.2014.6828342en_US
dc.identifier.urihttp://hdl.handle.net/11693/27864
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/iCREATE.2014.6828342en_US
dc.source.title2014 International Conference on Robotics and Emerging Allied Technologies in Engineering, iCREATE - Proceedingsen_US
dc.subjectFinger tips detectionen_US
dc.subjectHand gesture recognitionen_US
dc.subjectHuman computer interactionen_US
dc.subjectRoboticsen_US
dc.subjectVideo signal processingen_US
dc.subjectComputer interactionen_US
dc.subjectFinger tipsen_US
dc.subjectHand-gesture recognitionen_US
dc.subjectITS applicationsen_US
dc.subjectNew approachesen_US
dc.subjectThree different techniquesen_US
dc.subjectVideo processingen_US
dc.subjectVirtual mouseen_US
dc.subjectGesture recognitionen_US
dc.titleReal time hand gesture recognition for computer interactionen_US
dc.typeConference Paperen_US

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