casa 24(1):

Research Article

Facial Sentiment Recognition using artificial intelligence techniques.

Download182 downloads
  • @ARTICLE{10.4108/eetcasa.v9i1.3930,
        author={Vuong Xuan Chi and Phan Cong Vinh},
        title={Facial Sentiment Recognition using artificial intelligence techniques.},
        journal={EAI Endorsed Transactions on Context-aware Systems and Applications},
        volume={9},
        number={1},
        publisher={EAI},
        journal_a={CASA},
        year={2023},
        month={9},
        keywords={Facial Sentiment Recognition, Convolutional artificial neural network, Linear regression, Satisfied prediction},
        doi={10.4108/eetcasa.v9i1.3930}
    }
    
  • Vuong Xuan Chi
    Phan Cong Vinh
    Year: 2023
    Facial Sentiment Recognition using artificial intelligence techniques.
    CASA
    EAI
    DOI: 10.4108/eetcasa.v9i1.3930
Vuong Xuan Chi1,*, Phan Cong Vinh1
  • 1: Trường ĐH Nguyễn Tất Thành
*Contact email: vxchi@ntt.edu.vn

Abstract

Facial emotion recognition technology is used to analyze and recognize human emotions based on facial expressions. This technology uses deep learning models to classify facial expressions, eyes, eyebrows, mouth, and other facial expressions to determine a person's emotions. The application of facial emotion recognition in the field of education is a potential way to evaluate the level of student absorption after each class period. Using cameras and emotion recognition technology, the system can record and analyze students' facial expressions during class. In this paper, we use the Convolutional Neural Network (CNN) algorithm combined with the linear regression analysis method to build a model to predict students' facial emotions over a period of time camera recorded.