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dc.contributor.authorShafriza Nisha, Basah, Dr.
dc.contributor.authorSazali, Yaacob, Prof. Dr.
dc.contributor.authorMuthusamy, Hariharan, Dr.
dc.contributor.authorNurnadia, M. Khair
dc.date.accessioned2014-04-22T07:58:16Z
dc.date.available2014-04-22T07:58:16Z
dc.date.issued2013
dc.identifier.citationIEEE International Conference on Control System, Computing and Engineering, 2013, pages 460-464en_US
dc.identifier.isbn978-1-4799-1506-4
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/33896
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.org/en_US
dc.description.abstractDeveloping 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.en_US
dc.language.isoenen_US
dc.publisherIEEE Conference Publicationsen_US
dc.subjectEmotionen_US
dc.subjectMovementen_US
dc.subjectKnockingen_US
dc.subjectDWTen_US
dc.subjectkNNen_US
dc.subjectFkNNen_US
dc.titleDiscrete wavelet transform in recognition human emotional movement through knockingen_US
dc.typeArticleen_US
dc.identifier.urlhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6720009
dc.identifier.url10.1109/ICCSCE.2013.6720009
dc.contributor.urlnurnadia1488@yahoo.comen_US
dc.contributor.urls.yaacob@unimap.edu.myen_US
dc.contributor.urlwavelet.hari@gmail.comen_US
dc.contributor.urlshafriza@unimap.edu.myen_US


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