Manuscript Number : IJSRSET1732153
Worry Assessment by Handwriting Analysis of Right-Handed and Left-Handed Individuals
Authors(3) :-Lavanya Mudaliar, Deepika Bhandari, Akshata Dabholkar
Handwriting refers to a person's unique style of writing characters created by hand with a writing instrument such as a pen or pencil. Handwriting is an acquired skill and a complex-perpetual-motor task, sometimes referred to as a neuromuscular task. Because each person's handwriting is unique, it can be used to verify the writer of the document. Graphology is the study by which the personality of an individual can be determined with the help of handwriting. It will reveal his social skills, honesty, stability, confidence level and how he compares himself to others. Handwriting being a neuromuscular activity also has an impact with regard to handedness of the writer. It is hypothesized that the Left-Handed writers are much different than the Right-Handed writers with respect to their personalities. Therefore, this work aims to study the Worry assessment with respect to the handedness of the writer, based on certain characters of handwriting like: pen pressure, size of letters slant of words, spacing between the words, shape of the words, page margins, etc. 50 samples each of Right-handed and Left-handed individuals, between the age group of 18-30 years were analyzed to determine the personality traits of the individuals. The results were then compared depending on the handedness of writers.
Lavanya Mudaliar
Worry assessment, personality, Graphology
Publication Details
Published in :
Volume 3 | Issue 2 | March-April 2017 Article Preview
Institute of Forensic Science, 15, Madame Cama Road, Fort, Mumbai, Maharastra, India
Deepika Bhandari
Institute of Forensic Science, 15, Madame Cama Road, Fort, Mumbai, Maharastra, India
Akshata Dabholkar
Institute of Forensic Science, 15, Madame Cama Road, Fort, Mumbai, Maharastra, India
Date of Publication :
2017-04-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) :
482-486
Manuscript Number :
IJSRSET1732153
Publisher : Technoscience Academy