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Automated System for interpreting Non-verbal Communication in Video Conferencing

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dc.contributor.author Gavankar, Chetana
dc.date.accessioned 2023-01-23T06:37:02Z
dc.date.available 2023-01-23T06:37:02Z
dc.date.issued 2010
dc.identifier.uri http://www.enggjournals.com/ijcse/doc/IJCSE10-02-01-05.pdf
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8648
dc.description.abstract Gesture 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.iso en en_US
dc.publisher International Journal on Computer Science and Engineering en_US
dc.subject Computer Science en_US
dc.subject Non-verbal Communication en_US
dc.subject Facial expression recognition en_US
dc.subject Gesture Recognition en_US
dc.subject Video Conferencing en_US
dc.title Automated System for interpreting Non-verbal Communication in Video Conferencing en_US
dc.type Article en_US


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