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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7328
Title: Emotion recognition using eigenvalues and Levenberg–Marquardt algorithm-based classifier
Authors: Gaidhane V.H.
Hote, Yogesh Vijay
Singh V.
Published in: Sadhana - Academy Proceedings in Engineering Sciences
Abstract: In this paper, a simple and computationally efficient approach is proposed for person independent facial emotion recognition. The proposed approach is based on the significant features of an image, i.e., the collection of few largest eigenvalues (LE). Further, a Levenberg–Marquardt algorithm-based neural network (LMNN) is applied for multiclass emotions classification. This leads to a new facial emotion recognition approach (LE-LMNN) which is systematically examined on JAFFE and Cohn–Kanade databases. Experimental results illustrate that the LE-LMNN approach is effective and computationally efficient for facial emotion recognition. The robustness of the proposed approach is also tested on low-resolution facial emotion images. The performance of the proposed approach is found to be superior as compared to the various existing methods. © 2016, Indian Academy of Sciences.
Citation: Sadhana - Academy Proceedings in Engineering Sciences (2016), 41(4): 415-423
URI: https://doi.org/10.1007/s12046-016-0479-6
http://repository.iitr.ac.in/handle/123456789/7328
Issue Date: 2016
Publisher: Springer
Keywords: classification
eigenvalue
Emotion recognition
Levenberg–Marquardt algorithm
neural network
ISSN: 2562499
Author Scopus IDs: 36782060100
24173118500
55222004300
Author Affiliations: Gaidhane, V.H., Department of Electrical and Electronics Engineering, BITS Pilani, Dubai Campus, Dubai International Academic City, Dubai, 34505, United Arab Emirates
Hote, Y.V., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Singh, V., Department of Instrumentation and Control Engineering, Netaji Subhas Institute of Technology, University of Delhi, New Delhi, 110078, India
Corresponding Author: Gaidhane, V.H.; Department of Electrical and Electronics Engineering, BITS Pilani, Dubai Campus, Dubai International Academic City, United Arab Emirates; email: vilasgd612@gmail.com
Appears in Collections:Journal Publications [EE]

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