CorrNet: Fine-Grained Emotion Recognition for Video Watching Using Wearable Physiological Sensors

Recognizing user emotions while they watch short-form videos anytime and anywhere is essential for facilitating video content customization and personalization. However, most works either classify a single emotion per video stimuli, or are restricted to static, desktop environments. To address this,...

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Detalles Bibliográficos
Autores principales: Zhang, Tianyi, El Ali, Abdallah, Wang, Chen, Hanjalic, Alan, Cesar, Pablo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795677/
https://www.ncbi.nlm.nih.gov/pubmed/33374281
http://dx.doi.org/10.3390/s21010052

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795677/
https://www.ncbi.nlm.nih.gov/pubmed/33374281
http://dx.doi.org/10.3390/s21010052

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