Estimation of Personality Traits From Portrait Pictures Using the Five-Factor Model

Estimation of Personality Traits From Portrait Pictures Using the Five-Factor Model

This work presents a model based on Deep Neural Networks for the prediction of apparent personality. It can quantify personality traits with the Five-Factor model (Big Five) from a Portrait image. In order to evaluate the effectiveness of this approach, a new corpus of 30,935 portraits with their as...

Full description

Bibliographic Details
Main Authors: Marco A. Moreno-Armendariz, Carlos Alberto Duchanoy Martinez, Hiram Calvo, Miguelangel Moreno-Sotelo
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Personality traits estimation
five-factor model
convolutional neural networks
image analysis
Online Access:https://ieeexplore.ieee.org/document/9244051/

Similar Items

Similar Items