Emotion recognition from facial expressions using images with pose, illumination and age variation for human-computer/robot interaction

TitleEmotion recognition from facial expressions using images with pose, illumination and age variation for human-computer/robot interaction
Publication TypeJournal Article
Year of Publication2018
AuthorsPalaniswamy, S.., and S.. Tripathi
JournalJournal of ICT Research and Applications
Volume12
Issue1
Pagination14 - 34
Date Published2018
ISBN Number23375787 (ISSN)
KeywordsClassification, Emotion, Facial expression, Feature extraction, Illumination, Pose, Raspberry Pi II
Abstract

A technique for emotion recognition from facial expressions in images with simultaneous pose, illumination and age variation in real time is proposed in this paper. The basic emotions considered are anger, disgust, happy, surprise, and neutral. Feature vectors that were formed from images from the CMU-MultiPIE database for pose and illumination were used for training the classifier. For real-time implementation, Raspberry Pi II was used, which can be placed on a robot to recognize emotions in interactive real-time applications. The proposed method includes face detection using Viola Jones Haar cascade, Active Shape Model (ASM) for feature extraction, and AdaBoost for classification in real-time. Performance of the proposed method was validated in real time by testing with subjects from different age groups expressing basic emotions with varying pose and illumination. 96% recognition accuracy at an average time of 120 ms was obtained. The results are encouraging, as the proposed method gives better accuracy with higher speed compared to existing methods from the literature. The major contribution and strength of the proposed method lie in marking suitable feature points on the face, its speed and invariance to pose, illumination and age in real time. © 2018 Published by ITB Journal Publisher.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85049598972&doi=10.5614%2fitbj.ict.res.appl.2018.12.1.2&partnerID=40&md5=bb15187ac5e846f10ace833735859451
Short TitleJ. ICT Res. Appl.