Skeleton-Based Emotion Recognition Based on Two-Stream Self-Attention Enhanced Spatial-Temporal Graph Convolutional Network

Emotion recognition has drawn consistent attention from researchers recently. Although gesture modality plays an important role in expressing emotion, it is seldom considered in the field of emotion recognition. A key reason is the scarcity of labeled data containing 3D skeleton data. Some studies i...

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Detalles Bibliográficos
Autores principales: Shi, Jiaqi, Liu, Chaoran, Ishi, Carlos Toshinori, Ishiguro, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795329/
https://www.ncbi.nlm.nih.gov/pubmed/33396917
http://dx.doi.org/10.3390/s21010205

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795329/
https://www.ncbi.nlm.nih.gov/pubmed/33396917
http://dx.doi.org/10.3390/s21010205

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