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