Luminance sticker based facial expression recognition using discrete wavelet transform for physically disabled persons

Link to publisher's homepage at http://www.springerlink.com/

Saved in:
Bibliographic Details
Main Authors: Nagarajan, Ramachadran, Prof. Dr., Hariharan, Muthusamy, M., Satiyan
Format: Article
Language:English
Published: Springer Science+Business Media, LLC. 2012
Subjects:
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/21296
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-21296
record_format dspace
spelling my.unimap-212962012-10-11T00:46:28Z Luminance sticker based facial expression recognition using discrete wavelet transform for physically disabled persons Nagarajan, Ramachadran, Prof. Dr. Hariharan, Muthusamy M., Satiyan Artificial neural network Discrete wavelet transform Facial expression recognition K-nearest neighborhood Linear discriminant analysis Orthogonal wavelet family Link to publisher's homepage at http://www.springerlink.com/ Developing tools to assist physically disabled and immobilized people through facial expression is a challenging area of research and has attracted many researchers recently. In this paper, luminance stickers based facial expression recognition is proposed. Recognition of facial expression is carried out by employing Discrete Wavelet Transform (DWT) as a feature extraction method. Different wavelet families with their different orders (db1 to db20, Coif1 to Coif 5 and Sym2 to Sym8) are utilized to investigate their performance in recognizing facial expression and to evaluate their computational time. Standard deviation is computed for the coefficients of first level of wavelet decomposition for every order of wavelet family. This standard deviation is used to form a set of feature vectors for classification. In this study, conventional validation and cross validation are performed to evaluate the efficiency of the suggested feature vectors. Three different classifiers namely Artificial Neural Network (ANN), k-Nearest Neighborhood (kNN) and Linear Discriminant Analysis (LDA) are used to classify a set of eight facial expressions. The experimental results demonstrate that the proposed method gives very promising classification accuracies. 2012-10-11T00:40:28Z 2012-10-11T00:40:28Z 2012 Article Journal of Medical Systems, vol. 36 (4), 2012, pages 2225-2234 0148-5598 http://www.springerlink.com/content/k548066027h2g194/ http://hdl.handle.net/123456789/21296 en Springer Science+Business Media, LLC.
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Artificial neural network
Discrete wavelet transform
Facial expression recognition
K-nearest neighborhood
Linear discriminant analysis
Orthogonal wavelet family
spellingShingle Artificial neural network
Discrete wavelet transform
Facial expression recognition
K-nearest neighborhood
Linear discriminant analysis
Orthogonal wavelet family
Nagarajan, Ramachadran, Prof. Dr.
Hariharan, Muthusamy
M., Satiyan
Luminance sticker based facial expression recognition using discrete wavelet transform for physically disabled persons
description Link to publisher's homepage at http://www.springerlink.com/
format Article
author Nagarajan, Ramachadran, Prof. Dr.
Hariharan, Muthusamy
M., Satiyan
author_facet Nagarajan, Ramachadran, Prof. Dr.
Hariharan, Muthusamy
M., Satiyan
author_sort Nagarajan, Ramachadran, Prof. Dr.
title Luminance sticker based facial expression recognition using discrete wavelet transform for physically disabled persons
title_short Luminance sticker based facial expression recognition using discrete wavelet transform for physically disabled persons
title_full Luminance sticker based facial expression recognition using discrete wavelet transform for physically disabled persons
title_fullStr Luminance sticker based facial expression recognition using discrete wavelet transform for physically disabled persons
title_full_unstemmed Luminance sticker based facial expression recognition using discrete wavelet transform for physically disabled persons
title_sort luminance sticker based facial expression recognition using discrete wavelet transform for physically disabled persons
publisher Springer Science+Business Media, LLC.
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/21296
_version_ 1643790841343377408
score 13.214268