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Neural Network Based Multimodal Emotion Estimation

Authors:
Strahil Sokolov

Keywords: deep neural network, multumodal biometrics, emotion recognition

Abstract:
This paper presents recent research on approaches in autonomous systems for combining multiple modalities for emotion estimation based on neural networks. Emotion recognition is an active area of research especially in the field of autonomous systems in automotive industry, Human Computer Interaction (HCI), multimedia indexing and video surveillance. Both invasive and non-invasive acquisition methods are part of this study. ECG and EEG, Voice and Facial Analysis with modern approaches such as Deep Neural Networks are presented.

Pages: 4 to 7

Copyright: Copyright (c) IARIA, 2018

Publication date: May 20, 2018

Published in: conference

ISSN: 2308-3913

ISBN: 978-1-61208-634-7

Location: Nice, France

Dates: from May 20, 2018 to May 24, 2018