การจับความรู้สีฑของคนจากใบหน้าด้วยเทคนิคปัญญาประดิษฐ์ (Thai)

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    • Alternate Title:
      Classification of human facial expression using artificial intelligence techniques. (English)
    • Abstract:
      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. [ABSTRACT FROM AUTHOR]
    • Abstract:
      Copyright of Journal of Science & Technology MSU is the property of Mahasarakham University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)