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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Hauptverfasser: Sathya Bursic, Giuseppe Boccignone, Alfio Ferrara, Alessandro D’Amelio, Raffaella Lanzarotti
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2020-06-01
Schriftenreihe:Applied Sciences
Schlagworte:
facial expression recognition
speaking effect
emotion recognition
affective computing
deep learning
Online Zugang:https://www.mdpi.com/2076-3417/10/11/4002
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