Survey of Infant Emotion Recognition

被引:0
|
作者
Zhuoma, Cairang [1 ]
Liu, Pengfei [1 ]
Ma, Guangxiang [1 ]
机构
[1] School of Computer Science and Engineering, Southwest Minzu University, Chengdu,610000, China
关键词
D O I
10.3778/j.issn.1002-8331.2403-0174
中图分类号
学科分类号
摘要
Infant emotions significantly influence their cognitive development and self-awareness, playing a crucial role in their growth. The field of infant emotion research currently confronts challenges such as insufficient emotion datasets, non-uniform quantification standards, and limited accuracy in emotion recognition. Therefore, effectively recognizing infant emotions has become a central issue in this field. This paper reviews and summarizes current research on infant emotion recognition, focusing on infant emotion datasets, representation models, and classification methods across various modalities. Initially, it enumerates and introduces available public datasets. Subsequently, it analyzes common models for representing infant emotions and methods for classifying them. Finally, it outlines existing challenges and discusses future research directions, aiming to guide further studies. © 2024 Journal of Computer Engineering and Applications Beijing Co., Ltd.; Science Press. All rights reserved.
引用
收藏
页码:32 / 45
相关论文
共 50 条
  • [1] A survey of music emotion recognition
    Han, Donghong
    Kong, Yanru
    Han, Jiayi
    Wang, Guoren
    FRONTIERS OF COMPUTER SCIENCE, 2022, 16 (06)
  • [2] A survey of music emotion recognition
    Donghong Han
    Yanru Kong
    Jiayi Han
    Guoren Wang
    Frontiers of Computer Science, 2022, 16
  • [3] A Survey on Image Emotion Recognition
    Zhao, Guangzhe
    Yang, Hanting
    Tu, Bing
    Zhang, Lei
    JOURNAL OF INFORMATION PROCESSING SYSTEMS, 2021, 17 (06): : 1138 - 1156
  • [4] Survey on Emotion Recognition Databases
    Hong, Juyoung
    Hwang, Yujin
    Lee, Gwangjin
    Choi, Yukyung
    2022 22ND INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2022), 2022, : 1173 - 1178
  • [5] A survey of music emotion recognition
    Donghong HAN
    Yanru KONG
    Jiayi HAN
    Guoren WANG
    Frontiers of Computer Science, 2022, 16 (06) : 53 - 63
  • [6] Survey on multimodal approaches to emotion recognition
    Gladys, A. Aruna
    Vetriselvi, V.
    NEUROCOMPUTING, 2023, 556
  • [7] Speech Emotion Recognition: A Comprehensive Survey
    Mohammed Jawad Al-Dujaili
    Abbas Ebrahimi-Moghadam
    Wireless Personal Communications, 2023, 129 : 2525 - 2561
  • [8] Survey on Arabic speech emotion recognition
    Iben Nasr L.
    Masmoudi A.
    Hadrich Belguith L.
    International Journal of Speech Technology, 2024, 27 (01) : 53 - 68
  • [9] Speech Emotion Recognition: A Comprehensive Survey
    Al-Dujaili, Mohammed Jawad
    Ebrahimi-Moghadam, Abbas
    WIRELESS PERSONAL COMMUNICATIONS, 2023, 129 (04) : 2525 - 2561
  • [10] Automatic Speech Emotion Recognition: A Survey
    Chandrasekar, Purnima
    Chapaneri, Santosh
    Jayaswal, Deepak
    2014 INTERNATIONAL CONFERENCE ON CIRCUITS, SYSTEMS, COMMUNICATION AND INFORMATION TECHNOLOGY APPLICATIONS (CSCITA), 2014, : 341 - 346