Please use this identifier to cite or link to this item:
http://dspace.dtu.ac.in:8080/jspui/handle/repository/19987
Title: | DEVELOPMENT OF MULTIMODAL PERSONALITY PREDICTION MODEL USING PERSONALITY TRAITS |
Authors: | PATEL, ANISHA |
Keywords: | BIG FIVE TRAITS MULTIMODAL FUSION PERSONALITY PREDICTION CONVOLUTIONAL NEURAL NETWORK |
Issue Date: | May-2023 |
Series/Report no.: | TD-6525; |
Abstract: | It might be challenging to predict someone's personality in both the workplace and in daily life. There are several variables that can affect personality prediction, and these variables can change from person to person. Personality reflects an individual’s behaviour, thought process , life choices, mental health , emotions, social character. Variou deep learning model has been used in this project for multi modal personality prediction. VGGish convolutional networks (VGGish CNN), Resnet50, InceptionV3, Xception, Convnext, InceptionResnet have been used to extract facial and ambient features from the video, 2D convolutional neural network and Alexnet, have been to extract audio features. For the final prediction the extracted feature is given as a input to a fully connected layer followed by sigmoid activation function. |
URI: | http://dspace.dtu.ac.in:8080/jspui/handle/repository/19987 |
Appears in Collections: | M.E./M.Tech. Information Technology |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
ANISHA PATEL M.Tech.pdf | 1.39 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.