eprintid: 5580
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/55/80
datestamp: 2023-11-09 16:17:19
lastmod: 2023-11-09 16:17:19
status_changed: 2023-11-09 16:03:14
type: article
metadata_visibility: show
creators_name: Kudiri, K.M.
creators_name: Said, A.M.
creators_name: Nayan, M.Y.
title: Emotion detection through speech and facial expressions
ispublished: pub
note: cited By 0
abstract: Human-human communication in social environment is only possible through speech, facial expressions and bodily changes. In this research work, speech and facial expressions is used in order to estimate basic emotions (angry, sad, happy, boredom, disgusting and surprise) using a computer. A new asynchronous hybrid technique through Relative Bin Frequency Coefficients (RBFC) and Relative Sub-Image Base (RSB) is used in order to deal with the above modalities which are different in time, scale and dimension. Support Vector Machine (SVM) is used for classification. From experimental results, the proposed system performs better than the conventional systems. © 2005 - 2015 JATIT & LLS. All rights reserved.
date: 2015
publisher: Asian Research Publishing Network
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949512505&partnerID=40&md5=3503f27b1ba72d8cf793564b2ce29109
full_text_status: none
publication: Journal of Theoretical and Applied Information Technology
volume: 82
number: 1
pagerange: 172-183
refereed: TRUE
issn: 19928645
citation:   Kudiri, K.M. and Said, A.M. and Nayan, M.Y.  (2015) Emotion detection through speech and facial expressions.  Journal of Theoretical and Applied Information Technology, 82 (1).  pp. 172-183.  ISSN 19928645