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 |