Exploring the Potential of Multimodal Emotion Recognition for Hearing-Impaired Children Using Physiological Signals and Facial Expressions-Reference-Cited by-同舟云学术

Exploring the Potential of Multimodal Emotion Recognition for Hearing-Impaired Children Using Physiological Signals and Facial Expressions

Published:2023-10-09 Issue: Volume: Page:
ISSN:
Container-title:International Cconference on Multimodal Interaction
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Author:

Takir Seyma¹^ORCID,Toprak Elif²^ORCID,Uluer Pinar³^ORCID,Erol Barkana Duygun²^ORCID,Kose Hatice¹^ORCID

Affiliation:

1. Istanbul Technical University, Turkey

2. Yeditepe University, Turkey

3. Galatasaray University, Turkey

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3610661.3616240

Reference30 articles.

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3. Wavelet ELM-AE Based Data Augmentation and Deep Learning for Efficient Emotion Recognition Using EEG Recordings

4. Emotion Recognition from Multimodal Physiological Signals for Emotion Aware Healthcare Systems

5. Early, intermediate and late fusion strategies for robust deep learning-based multimodal action recognition

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