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Analyzing audiovisual data for understanding user's emotion in human-computer interaction environment

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成果类型:
期刊论文
作者:
Yang, Juan;Li, Zhenkun;Du, Xu
通讯作者:
Yang, J
作者机构:
[Yang, J; Yang, Juan] Wuhan Univ Sci & Technol, Coll Comp Sci & Technol, Sch Comp Sci & Technol, Wuhan, Peoples R China.
[Li, Zhenkun] Wuhan Univ Sci & Technol, Coll Comp Sci & Technol, Wuhan, Peoples R China.
[Du, Xu] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.
通讯机构:
[Yang, J ] W
Wuhan Univ Sci & Technol, Coll Comp Sci & Technol, Sch Comp Sci & Technol, Wuhan, Peoples R China.
语种:
英文
关键词:
Key-frame extraction;Audiovisual interaction and fusion;Attention mechanism;Emotion recognition;Intra-modality interaction;Cross-modality interaction
期刊:
DATA TECHNOLOGIES AND APPLICATIONS
ISSN:
2514-9288
年:
2023
基金类别:
The study was supported by the National Natural Science Foundation of China (62107032) and the Philosophy and Social Science Research Project of Hubei Provincial Education Department (21Q029). [62107032]; National Natural Science Foundation of China [21Q029]; Philosophy and Social Science Research Project of Hubei Provincial Education Department
机构署名:
本校为其他机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
Purpose - Although numerous signal modalities are available for emotion recognition, audio and visual modalities are the most common and predominant forms for human beings to express their emotional states in daily communication. Therefore, how to achieve automatic and accurate audiovisual emotion recognition is significantly important for developing engaging and empathetic human-computer interaction environment. However, two major challenges exist in the field of audiovisual emotion recognition: (1) how to effectively capture representations of each single modality and eliminate redundant fea...

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