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:
| Main Authors: | , , |
|---|---|
| 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!
|
| Institution: | Universiti Malaysia Perlis |
| Language: | English |
| 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 |