📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 6, JUNE 2022

Recognition of Emotional State Based on Handwriting Analysis

Kiran Aradhya, Ujwal Jadhav, Thanushree P.S, Swathi.B.R, Rumana Anjum

DOI: 10.17148/IJARCCE.2022.11647

Abstract: Emotions describe the physiological states of an individual and are generated subconsciously. They motivate, organize, and guide perception, thought, and action. Emotions can be positive or negative. Negative emotions manifest in the form of depression, anxiety and stress. It is necessary to identify negative emotions of an individual who might be in the need for counselling or psychological treatment. Body signal analysis, handwriting analysis, and psychological assessment are some mechanisms to measure them. It’s a key factor for every individual to keep his mental health well. Among the various reasons for causing illness, some of them can be lot of tension, stress and depression. It is important to know if a person is suffering from depression or stress, which are negative emotions. The positive emotions are joy, happiness, excitement etc. while negative emotions are sadness, anger, disgust, fear, depression, anxiety and stress.

How to Cite:

[1] Kiran Aradhya, Ujwal Jadhav, Thanushree P.S, Swathi.B.R, Rumana Anjum, “Recognition of Emotional State Based on Handwriting Analysis,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11647