DocumentCode :
3113932
Title :
Automatic Emotion Recognition through Handwriting Analysis: A Review
Author :
Kedar, S.V. ; Bormane, D.S. ; Dhadwal, Aaditi ; Alone, Shiwali ; Agarwal, Rashi
Author_Institution :
JSPM´s RSCOE, S.P. Pune Univ., Pune, India
fYear :
2015
fDate :
26-27 Feb. 2015
Firstpage :
811
Lastpage :
816
Abstract :
Handwriting analysis is the technique used to understand a person in a better way through his/her handwriting. By examining the handwriting, we can develop a sketch which reflects the writer´s emotional outlays, fears, honesty, mental state and many other personality traits. Emotions include the interpretation, perception and response of the feelings related to the experience of any particular situation. They are the ones which bridge thoughts, feelings and actions. The main objective of this paper is to analyze the handwriting characteristics like Baseline, Slant, Pen-Pressure, Size, Margin and Zone to determine the emotion levels of a person. This will help identifying those people who are emotionally disturbed or depressed and need psychological help to overcome such negative emotions.
Keywords :
emotion recognition; handwriting recognition; automatic emotion recognition; fears; handwriting analysis; honesty; mental state; personality traits; writer emotional outlays; Databases; Emotion recognition; Feature extraction; Handwriting recognition; Image segmentation; Psychology; Writing; Emotion outlays; Emotion recognition; Handwriting analysis; Handwriting features;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing Communication Control and Automation (ICCUBEA), 2015 International Conference on
Conference_Location :
Pune
Type :
conf
DOI :
10.1109/ICCUBEA.2015.162
Filename :
7155960
Link To Document :
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