• 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