Classification of human facial expression using artificial intelligence techniques

Warasan Witthayasat Lae Theknoloyi Mahawitthayalai Mahasarakham

Withit Chatlatanagulchai¹ 

[1] professor,Department of Mechanical Engineering, Faculty of Engineering, Kasetsart University, 50 Ngamwongwan Road, Ladyao Subdistrict, Chatuchak District, Bangkok;

关键词: artificial intelligence techniques;    emotional classification;    deep learning techniques;   

DOI  :  

来源: DOAJ

【 摘 要 】

Machines are increasingly being used for different work in society for a variety of tasks including very complex things. Therefore, the machine’s perception requires that it understands the environment and the interlocutor. This article reports research on machinery that learns to recognize the emotions expressed in human faces. The development of this research uses artificial intelligence techniques, combined with emotional classification and in-depth learning by using an artificial neural network that has been trained together with transfer learning to identify the seven major emotions of human emotions, anger, disgust, fear, happiness, sadness, surprise and neutral. We can take advantage of the tool set and transfer this deep learning technique, such as recognizing the emotions expressed in the face of the elderly that show when they need help. The results of the experiment, show that machines can effectively detect human emotions with precision and can be used to develop into commercial products.

【 授权许可】

Unknown