Makine Ögrenmesi Algoritmalari ile Video Görüntülerinden Ki sisel Özelliklerin Tahmini

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

4 Atıf (Scopus)

Özet

In this paper, artificial intelligence based study which aims to automatically detect personality traits from video by using machine learning and image processing techniques is explained. To determine the character and emotion of people by analyzing their behavior is already an important task for especially human resources. If a person's body language is adequately analyzed, much information can be obtained about that person's personality traits. The main task of this study is to predict the five factor model personality dimensions from video images by using machine learning techniques and artificial neural networks. In this study, video images and the emotional states of the person obtained from videos were utilized and an artificial intelligence based system was developed to be able to predict automatically the personality traits of a person from videos with 0, 8951 accuracy by using artificial neural networks, machine learning and image processing techniques. Within the scope of the study, prediction of 5 important personality traits, extraversion, agreeableness, conscientiousness, neuroticism and openness were emphasized.

Tercüme edilen katkı başlığıPrediction of Personality Traits from Videos by Using Machine Learning Algorithms
Orijinal dilTürkçe
Ana bilgisayar yayını başlığıUBMK 2019 - Proceedings, 4th International Conference on Computer Science and Engineering
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar778-782
Sayfa sayısı5
ISBN (Elektronik)9781728139647
DOI'lar
Yayın durumuYayınlandı - Eyl 2019
Etkinlik4th International Conference on Computer Science and Engineering, UBMK 2019 - Samsun, Turkey
Süre: 11 Eyl 201915 Eyl 2019

Yayın serisi

AdıUBMK 2019 - Proceedings, 4th International Conference on Computer Science and Engineering

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???event.eventtypes.event.conference???4th International Conference on Computer Science and Engineering, UBMK 2019
Ülke/BölgeTurkey
ŞehirSamsun
Periyot11/09/1915/09/19

Bibliyografik not

Publisher Copyright:
© 2019 IEEE.

Keywords

  • artificial neural networks
  • emotion analysis
  • personality analysis

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