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Improving the Accuracy of Automatic Facial Expression Recognition in Speaking Subjects with Deep Learning

When automatic facial expression recognition is applied to video sequences of speaking subjects, the recognition accuracy has been noted to be lower than with video sequences of still subjects. This effect known as the <i>speaking effect</i> arises during spontaneous conversations, and a...

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Autores principales: Sathya Bursic, Giuseppe Boccignone, Alfio Ferrara, Alessandro D’Amelio, Raffaella Lanzarotti
Formato: Artigo
Lenguaje:Inglês
Publicado: MDPI AG 2020-06-01
Colección:Applied Sciences
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Acceso en línea:https://www.mdpi.com/2076-3417/10/11/4002
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