TY  - JOUR
EP  - 623
PB  - Asian Research Publishing Network
SN  - 19928645
N1  - cited By 0
TI  - Human emotion detection through facial expressions
SP  - 613
AV  - none
A1  - Kudiri, K.M.
A1  - Said, A.M.
A1  - Nayan, M.Y.
JF  - Journal of Theoretical and Applied Information Technology
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84976533432&partnerID=40&md5=43c7d5ee4ffaf402991b788f329d59dc
VL  - 88
Y1  - 2016///
N2  - Human to human social communication in real-life is possible through different modalities like facial expressions, speech and body poses. However, facial expressions plays important role while dealing with human emotions in real-life than the other modalities. It is because facial expression provides non-verbal data towards emotions. And also gives emotion of a person towards his goal. On the other hand, speech and body poses are mostly language and culture dependent respectively which creates problem while detection emotions of a person. Thus in order to deal with the above issues, this research work focused on facial expressions instead other modalities. To improve detection performance of the system, proposed Relative Sub-Image Based features is used. Support Vector Machine with radial basis kernel is used for classification. Total six basic emotions (angry, sad, happy, disgust, boredom and surprise) are tested. From experimental results, the proposed Relative Sub-Image Based features enhanced the classification rates than the conventional features. © 2005 - 2016 JATIT & LLS. All rights reserved.
IS  - 3
ID  - scholars6960
ER  -