| Issue |
E3S Web Conf.
Volume 184, 2020
2nd International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED 2020)
|
|
|---|---|---|
| Article Number | 01053 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/e3sconf/202018401053 | |
| Published online | 19 August 2020 | |
A Survey on Big Five Personality Traits Prediction Using Tensorflow
1 PG Scholar, Gokaraju Rangaraju Institute of Engineering and Technology, TS, India
2 Professor, Dept. of CSE, Gokaraju Rangaraju Institute of Engineering and Technology, TS, India
Manisha Nilugonda: manishanilugonda@gmail.com
A personality trait is a specific pattern of thought, thinking, or performing that manages to be faithful over time and beyond essential places. The Big Five—Extraversion, Agreeableness, Conscientiousness, Neuroticism and Openness to Practice are a set of five broad, bipolar quality dimensions that establish the most extensively used design of personality construction. Earlier investigations revealed a growing interest in defining the personality and behavior of people in fields such as career development, personalized health assistance, counseling, mental disorder analysis, and the detection of physical diseases with personality shift symptoms. Modern methods of discovering the Big-Five personality types include completing a survey, that takes an impractical amount of time and cannot be used often. This paper provides a survey on detecting of big five personality traits based on facial features recognition using TensorFlow mechanism. And also, various methods to detect big five personality traits are discussed in this paper. Finally, the graph provides a comparison between various detection of big five personality traits on facial expressions.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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