Human Emotion Estimation Using Multi-Modal Variational AutoEncoder with Time Changes

A human emotion estimation method via feature integration using multi-modal variational autoencoder (MVAE) with time changes is presented in this paper. To utilize multimodal information such as gaze and brain activity data including some noises, the proposed method newly introduces MVAE into the hu...

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Bibliographic Details

Published in:	2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech) pp. 67 - 68
Main Authors:	Moroto, Yuya, Maeda, Keisuke, Ogawa, Takahiro, Haseyama, Miki
Format:	Conference Proceeding
Language:	English
Published:	IEEE 09.03.2021
Subjects:	Brain Conferences Estimation Life sciences Noise measurement Probabilistic logic
Online Access:	Get full text
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