DSpace logo

Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/8648
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGavankar, Chetana-
dc.date.accessioned2023-01-23T06:37:02Z-
dc.date.available2023-01-23T06:37:02Z-
dc.date.issued2010-
dc.identifier.urihttp://www.enggjournals.com/ijcse/doc/IJCSE10-02-01-05.pdf-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8648-
dc.description.abstractGesture is a form of non-verbal, action-based communication made with a part of the body and used instead of and/or in combination with verbal communication. People frequently use gestures for more effective inter-personal communication; out of which nearly 55% come from the facial expressions alone. Facial gestures often reveal when people are trying to conceal emotions such as fear, contempt, disgust, surprise, or even unspoken political tensions. Video conferencing captures such facial signals which can be directly processed by suitable image processing system. Facial gestures are more pronounced via eyes and lip region of human face and hence they form the regions of interest (ROI) while processing the video signal. Some of these concepts are used to develop a system which can identify specific human gestures and use their interpretation towards business decision support.en_US
dc.language.isoenen_US
dc.publisherInternational Journal on Computer Science and Engineeringen_US
dc.subjectComputer Scienceen_US
dc.subjectNon-verbal Communicationen_US
dc.subjectFacial expression recognitionen_US
dc.subjectGesture Recognitionen_US
dc.subjectVideo Conferencingen_US
dc.titleAutomated System for interpreting Non-verbal Communication in Video Conferencingen_US
dc.typeArticleen_US
Appears in Collections:Department of Computer Science and Information Systems

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.