Human emotions are conveyed by different medium such as behaviours, actions, poses, facial expressions
and speech. Multitudinous researches have been carried out to find out the relation between these mediums
and emotions. This paper proposes a system which automatically recognizes the emotion represented on a
face. Thus, a Bezier curve based solution together with image processing is used in classifying the
emotions. Coloured face images are given as input to the system. Then, Image processing based feature
point extraction method is applied to extract a set of selected feature points. Finally, extracted features like
eyes and mouth, obtained after processing is given as input to the curve algorithm to recognize the emotion
contained. Experimental results show average 60% of success to analyse and recognize emotion detection
%0 Journal Article
%1 shrutibansal2014emotion
%A Shruti Bansal, Pravin Nagar
%D 2014
%J International Journal of Advanced Information Technology (IJAIT)
%K information technology
%N 3/4/5/6
%P 1-7
%R 10.5121/ijait.2015.5601
%T EMOTION RECOGNITION FROM FACIAL
EXPRESSION BASED ON BEZIER CURVE
%U http://aircconline.com/ijait/V5N6/5615ijait01.pdf
%V 5
%X Human emotions are conveyed by different medium such as behaviours, actions, poses, facial expressions
and speech. Multitudinous researches have been carried out to find out the relation between these mediums
and emotions. This paper proposes a system which automatically recognizes the emotion represented on a
face. Thus, a Bezier curve based solution together with image processing is used in classifying the
emotions. Coloured face images are given as input to the system. Then, Image processing based feature
point extraction method is applied to extract a set of selected feature points. Finally, extracted features like
eyes and mouth, obtained after processing is given as input to the curve algorithm to recognize the emotion
contained. Experimental results show average 60% of success to analyse and recognize emotion detection
@article{shrutibansal2014emotion,
abstract = {Human emotions are conveyed by different medium such as behaviours, actions, poses, facial expressions
and speech. Multitudinous researches have been carried out to find out the relation between these mediums
and emotions. This paper proposes a system which automatically recognizes the emotion represented on a
face. Thus, a Bezier curve based solution together with image processing is used in classifying the
emotions. Coloured face images are given as input to the system. Then, Image processing based feature
point extraction method is applied to extract a set of selected feature points. Finally, extracted features like
eyes and mouth, obtained after processing is given as input to the curve algorithm to recognize the emotion
contained. Experimental results show average 60% of success to analyse and recognize emotion detection},
added-at = {2018-06-12T07:55:22.000+0200},
author = {Shruti Bansal, Pravin Nagar},
biburl = {https://www.bibsonomy.org/bibtex/2f4c9585fd59b4decab76c1a8f561796a/ijaitislive},
doi = {10.5121/ijait.2015.5601},
interhash = {652cd7b346f04198dc9534c3e06156ae},
intrahash = {f4c9585fd59b4decab76c1a8f561796a},
journal = {International Journal of Advanced Information Technology (IJAIT) },
keywords = {information technology},
month = {December},
number = { 3/4/5/6},
pages = {1-7},
timestamp = {2018-06-12T07:55:22.000+0200},
title = {EMOTION RECOGNITION FROM FACIAL
EXPRESSION BASED ON BEZIER CURVE},
url = {http://aircconline.com/ijait/V5N6/5615ijait01.pdf},
volume = 5,
year = 2014
}