An Empirical Analysis of Multimodal Affective Computing Approaches for Advancing Emotional Intelligence in Artificial Intelligence for Healthcare-Reference-Cited by-同舟云学术

An Empirical Analysis of Multimodal Affective Computing Approaches for Advancing Emotional Intelligence in Artificial Intelligence for Healthcare

Published:2024 Issue: Volume:12 Page:114416-114434
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sangeetha S. K. B.¹^ORCID,Immanuel Rajeswari Rajesh¹,Mathivanan Sandeep Kumar²^ORCID,Cho Jaehyuk³^ORCID,Easwaramoorthy Sathishkumar Veerappampalayam⁴^ORCID

Affiliation:

1. Department of Computer Science and Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, Tamil Nadu, India

2. School of Computer Science and Engineering, Galgotias University, Greater Noida, India

3. Department of Software Engineering, Jeonbuk National University, Jeonju-si, Republic of Korea

4. Department of Computing and Information Systems, Sunway University, Petaling Jaya, Selangor, Malaysia

Funder

Korea Environmental Industry & Technology Institute

Korean Government Ministry of Environment through the Development of Internet of Things (IoT)-Based Technology for Collecting and Managing Big Data on Environmental Hazards and Health Effects

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10637394.pdf?arnumber=10637394

Reference31 articles.

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5. Recognition of human emotions using EEG signals: A review