iPersonalityReader: An Application to Assess the Personality of a Person via Face Image using Pre-trained Convolutional Neural Networks

dc.contributor.author	Ilmini, W.M.K.S
dc.contributor.author	Fernando, T.G.I.
dc.date.accessioned	2022-09-09T07:21:18Z
dc.date.available	2022-09-09T07:21:18Z
dc.date.issued	2019
dc.identifier.citation	Ilmini, W.M.K.S & Fernando, T.G.I. (2019). iPersonalityReader: An Application to Assess the Personality of a Person via Face Image using Pre-trained Convolutional Neural Networks	en_US
dc.identifier.uri	http://dr.lib.sjp.ac.lk/handle/123456789/12087
dc.description.abstract	The iPersonalityReader is a web-based app which is capable to assess the personality from the outer appearance of a person. To assess the personality, we proposed a convolutional neural network-based model with transfer learning. VGG-16 pre-trained deep learning model is used as a feature extractor to extract facial features. The extracted features are fed into six parallel “ReLu” layers to predict “Big-Five” personality values including “interview” factor. The proposed model achieved a mean squared error which is below 0.03 for all the personality traits including the “interview” factor.	en_US
dc.language.iso	en	en_US
dc.subject	Big-Five personality traits, convolutional neural networks, transfer learning, VGG-16	en_US
dc.title	iPersonalityReader: An Application to Assess the Personality of a Person via Face Image using Pre-trained Convolutional Neural Networks	en_US
dc.type	Article	en_US