Looking Into Gait for Perceiving Emotions via Bilateral Posture and Movement Graph Convolutional Networks-Reference-Cited by-同舟云学术

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Looking Into Gait for Perceiving Emotions via Bilateral Posture and Movement Graph Convolutional Networks

Published:2024-07 Issue:3 Volume:15 Page:1634-1648
ISSN:1949-3045
Container-title:IEEE Transactions on Affective Computing
language:
Short-container-title:IEEE Trans. Affective Comput.

Author:

Zhai Yingjie¹^ORCID,Jia Guoli¹^ORCID,Lai Yu-Kun²^ORCID,Zhang Jing³^ORCID,Yang Jufeng¹^ORCID,Tao Dacheng³^ORCID

Affiliation:

1. VCIP and TMCC and DISSec, College of Computer Science, Nankai University, Tianjin, China

2. School of Computer Science and Informatics, Cardiff University, Cardiff, U.K.

3. School of Computer Science, Faculty of Engineering, The University of Sydney, Camperdown, NSW, Australia

Funder

Natural Science Foundation of Tianjin Municipality

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5165369/10666803/10433680.pdf?arnumber=10433680

Reference80 articles.

1. EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege’s Principle

2. Attention-Aware Polarity Sensitive Embedding for Affective Image Retrieval

3. The Autonomous City Explorer: Towards Natural Human-Robot Interaction in Urban Environments

4. A Comprehensive and Context-Sensitive Neonatal Pain Assessment Using Computer Vision

5. Dynamic Movement Primitives Based Robot Skills Learning

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