Yüz İfadeleri ve El Hareketleriyle Türk İşaret Dilinde Duygu Analizi

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

Özet

In sign languages, where communication is achieved through hand gestures, facial expressions and body language, signs are the subject of many studies due to the diversity in terms of the position of different body parts. These diversities are also encountered in emotion detection in Turkish Sign Language (TID), making direct translation of hand gestures inadequate for emotion detection. Accordingly, in this study, for the first time in the literature, sentiment analysis in TID was performed using facial expressions and hand gestures. For this purpose, a specialized model for the tasks of emotion extraction from facial expressions and gesture recognition from hand gestures was fine-tuned with the dataset collected in this study. As a result, facial expressions are found to be more significant than hand gestures in sentiment analysis in TID, but when supported with hand gestures, the performance improved even more.

Tercüme edilen katkı başlığıSentiment Analysis in Turkish Sign Language Through Facial Expressions and Hand Gestures
Orijinal dilTürkçe
Ana bilgisayar yayını başlığı32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 - Proceedings
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9798350388961
DOI'lar
Yayın durumuYayınlandı - 2024
Etkinlik32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 - Mersin, Turkey
Süre: 15 May 202418 May 2024

Yayın serisi

Adı32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 - Proceedings

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???event.eventtypes.event.conference???32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024
Ülke/BölgeTurkey
ŞehirMersin
Periyot15/05/2418/05/24

Bibliyografik not

Publisher Copyright:
© 2024 IEEE.

Keywords

  • computer vision
  • sentiment analysis
  • Turkish Sign Language

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