Predicting the Sixteen Personality Factors (16PF) of an individual by analyzing facial features
Abstract We propose a novel three-layered neural network-based architecture for predicting the Sixteen Personality Factors from facial features analyzed using Facial Action Coding System. The proposed architecture is built on three layers: a base layer where the facial features are extracted from ea...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2017-08-01
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| Series: | EURASIP Journal on Image and Video Processing |
| Online Access: | http://link.springer.com/article/10.1186/s13640-017-0211-4 |