Discrete wavelet transform in recognition human emotional movement through knocking

Discrete wavelet transform in recognition human emotional movement through knocking

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Main Authors: Shafriza Nisha, Basah, Dr., Sazali, Yaacob, Prof. Dr., Muthusamy, Hariharan, Dr., Nurnadia, M. Khair
Other Authors: nurnadia1488@yahoo.com
Format: Article
Language:English
Published: IEEE Conference Publications 2014
Subjects:
Emotion
Movement
Knocking
DWT
kNN
FkNN
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/33896
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Institution: Universiti Malaysia Perlis
Language: English
id my.unimap-33896
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spelling my.unimap-338962014-04-22T07:58:16Z Discrete wavelet transform in recognition human emotional movement through knocking Shafriza Nisha, Basah, Dr. Sazali, Yaacob, Prof. Dr. Muthusamy, Hariharan, Dr. Nurnadia, M. Khair nurnadia1488@yahoo.com s.yaacob@unimap.edu.my wavelet.hari@gmail.com shafriza@unimap.edu.my Emotion Movement Knocking DWT kNN FkNN Link to publisher's homepage at http://ieeexplore.ieee.org/ Developing tools for identifying emotional states in human action is seen more challenging area of research and has attracted many researchers recently. In this paper, a new feature extraction method was proposed in identifying emotional states in human knocking. Four discrete categories of emotion such as angry, happy, neutral and sad were analyzed through human knocking and were carried out by employing Discrete Wavelet Transform (DWT) as a feature extraction method. Three different wavelet families with orders (db1, db4, Sym2, Sym5, Coif1 and Coif4) are utilized to investigate their performance in recognizing human emotional movement. Six statistical features such as mean, maximum, minimum, standard deviation, skewness and kurtosis were derived from approximation and detail coefficients at five levels of decomposition. Two different classifiers known as k- Nearest Neighbor (KNN) and Fuzzy k-Nearest Neighborhood (FkNN) was used to classify emotional movement. The experimental results demonstrate that the proposed method gives very promising classification accuracies. 2014-04-22T07:58:16Z 2014-04-22T07:58:16Z 2013 Article IEEE International Conference on Control System, Computing and Engineering, 2013, pages 460-464 978-1-4799-1506-4 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33896 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6720009 10.1109/ICCSCE.2013.6720009 en IEEE Conference Publications
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 Emotion
Movement
Knocking
DWT
kNN
FkNN
spellingShingle Emotion
Movement
Knocking
DWT
kNN
FkNN
Shafriza Nisha, Basah, Dr.
Sazali, Yaacob, Prof. Dr.
Muthusamy, Hariharan, Dr.
Nurnadia, M. Khair
Discrete wavelet transform in recognition human emotional movement through knocking
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 nurnadia1488@yahoo.com
author_facet nurnadia1488@yahoo.com
Shafriza Nisha, Basah, Dr.
Sazali, Yaacob, Prof. Dr.
Muthusamy, Hariharan, Dr.
Nurnadia, M. Khair
format Article
author Shafriza Nisha, Basah, Dr.
Sazali, Yaacob, Prof. Dr.
Muthusamy, Hariharan, Dr.
Nurnadia, M. Khair
author_sort Shafriza Nisha, Basah, Dr.
title Discrete wavelet transform in recognition human emotional movement through knocking
title_short Discrete wavelet transform in recognition human emotional movement through knocking
title_full Discrete wavelet transform in recognition human emotional movement through knocking
title_fullStr Discrete wavelet transform in recognition human emotional movement through knocking
title_full_unstemmed Discrete wavelet transform in recognition human emotional movement through knocking
title_sort discrete wavelet transform in recognition human emotional movement through knocking
publisher IEEE Conference Publications
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/33896
_version_ 1643797345680228352

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