Prediction of Daily Happiness Using Supervised Learning of Multimodal Lifelog Data

Developing an approach to predict happiness based on individual conditions and actions could enable us to select daily behaviors for enhancing well-being in life. Therefore, we propose a novel approach of applying machine learning, a branch of the field of artificial intelligence, to a variety of in...

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Bibliographic Details
Main Authors: Tetsuya Yamamoto, Junichiro Yoshimoto, Eric Murillo-Rodriguez, Sergio Machado
Format: Article
Language:Portuguese
Published: Universidade Católica Dom Bosco 2019-05-01
Series:Revista Psicologia e Saúde
Subjects:
Online Access:http://www.gpec.ucdb.br/pssa/index.php/pssa/article/view/823/html