LSTM-Modeling of Emotion Recognition Using Peripheral Physiological Signals in Naturalistic Conversations-Reference-Cited by-同舟云学术

LSTM-Modeling of Emotion Recognition Using Peripheral Physiological Signals in Naturalistic Conversations

Author:

Zitouni M. Sami¹^ORCID,Park Cheul Young²,Lee Uichin²^ORCID,Hadjileontiadis Leontios J.³,Khandoker Ahsan³^ORCID

Affiliation:

1. College of Engineering and IT, University of Dubai, Dubai, United Arab Emirates

2. Graduate School of Knowledge Service Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea

3. Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates

Funder

Khalifa University of Science, Technology and Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

Reference47 articles.

2. K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations;park;Data Science Journal,2020

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