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 |