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Deep Joint Spatiotemporal Network (DJSTN) for Efficient Facial Expression Recognition
Understanding a person’s feelings is a very important process for the affective computing. People express their emotions in various ways. Among them, facial expression is the most effective way to present human emotional status. We propose efficient deep joint spatiotemporal features for facial expr...
Gespeichert in:
| Veröffentlicht in: | Sensors (Basel) |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7180996/ https://ncbi.nlm.nih.gov/pubmed/32235662 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20071936 |
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