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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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主要な著者: Sathya Bursic, Giuseppe Boccignone, Alfio Ferrara, Alessandro D’Amelio, Raffaella Lanzarotti
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2020-06-01
シリーズ:Applied Sciences
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オンライン・アクセス:https://www.mdpi.com/2076-3417/10/11/4002
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