DocumentCode :
2923429
Title :
Towards emotional control recognition through handwriting using fuzzy inference
Author :
Mutalib, Sofianita ; Ramli, Roslina ; Rahman, Shuzlina Abdul ; Yusoff, Marina ; Mohamed, Azlinah
Author_Institution :
SIG Intelligent Systems, Faculty of Information Technology and Quantitative Sciences, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
Volume :
2
fYear :
2008
fDate :
26-28 Aug. 2008
Firstpage :
1
Lastpage :
5
Abstract :
Emotion control is one of personality characteristics that can be detected through handwriting or graphology. One of the advantages is it may help the counselor that has difficulties in identifying the emotion of their counselee. This study is to explore the fuzzy technique for feature extraction in handwriting and then identify the emotion of person. This study uses baseline or slope of the handwriting in determining the level of emotion control whether it is very low, low, medium, high or very high, through Mamdani inference.
Keywords :
Artificial neural networks; Character recognition; Control systems; Emotion recognition; Employee welfare; Fuzzy control; Handwriting recognition; Intelligent systems; Neural networks; Performance analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology, 2008. ITSim 2008. International Symposium on
Conference_Location :
Kuala Lumpur, Malaysia
Print_ISBN :
978-1-4244-2327-9
Electronic_ISBN :
978-1-4244-2328-6
Type :
conf
DOI :
10.1109/ITSIM.2008.4631735
Filename :
4631735
Link To Document :
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