MGEED: A Multimodal Genuine Emotion and Expression Detection Database-Reference-Cited by-同舟云学术

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MGEED: A Multimodal Genuine Emotion and Expression Detection Database

Published:2023 Issue: Volume: Page:1-13
ISSN:1949-3045
Container-title:IEEE Transactions on Affective Computing
language:
Short-container-title:IEEE Trans. Affective Comput.

Author:

Wang Yiming¹,Yu Hui²^ORCID,Gao Weihong²,Xia Yifan³,Nduka Charles⁴

Affiliation:

1. Department of Computer Science, Brunel University London, Uxbridge, Middlesex, United Kingdom

2. School of Creative Technologies, University of Portsmouth, United Kingdom

3. School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China

4. Emteq Ltd., Sussex Innovation Center, Brighton, United Kingdom

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Software

Link

http://xplorestaging.ieee.org/ielx7/5165369/5520654/10153641.pdf?arnumber=10153641

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integration of machine learning bi-modal engagement emotion detection model to self-reporting for educational satisfaction measurement;International Journal of Information Technology;2024-06-19

2. Advancements in Affective Disorder Detection: Using Multimodal Physiological Signals and Neuromorphic Computing Based on SNNs;IEEE Transactions on Computational Social Systems;2024

3. A systematic review of emotion recognition using cardio-based signals;ICT Express;2023-09

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