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...

Full beskrivning

Sparad:
Bibliografiska uppgifter
Huvudupphovsmän: Sathya Bursic, Giuseppe Boccignone, Alfio Ferrara, Alessandro D’Amelio, Raffaella Lanzarotti
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI AG 2020-06-01
Serie:Applied Sciences
Ämnen:
facial expression recognition
speaking effect
emotion recognition
affective computing
deep learning
Länkar:https://www.mdpi.com/2076-3417/10/11/4002
Taggar: Lägg till en tagg
Inga taggar, Lägg till första taggen!

Liknande verk