Enhancing the accuracy of a human emotion recognition method using spatial temporal graph convolutional networks-Reference-Cited by-同舟云学术

Enhancing the accuracy of a human emotion recognition method using spatial temporal graph convolutional networks

Published:2022-08-12 Issue:8 Volume:82 Page:11285-11303
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Tsai Ming-Fong^ORCID,Chen Chiung-Hung

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-13653-x.pdf

Reference32 articles.

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3. Ahmed F, Bari A, Gavrilova M (2020) Emotion recognition from body movement. IEEE Access J 8:11761–11781

4. Bombatkar A, Bhoyar G, Morjani K, Gautam S, Gupta V (2014) Emotion recognition using speech processing using K-nearest neighbor algorithm. Int J Eng Res Appl 3(2):68–71

5. Cao Y, Liu C, Huang Z, Sheng Y, Ju Y (2021) Skeleton-based action recognition with temporal action graph and temporal adaptive graph convolution structure. Springer Multimedia Tools Applic 80:29139–29162

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