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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,...
Autores principales: | Zhang, Tianyi, El Ali, Abdallah, Wang, Chen, Hanjalic, Alan, Cesar, Pablo |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
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 |
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