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The enhancement of the application of artificial intelligence toward the recognition of human feelings is clearly noticeable in areas such as user engagement and health, as well as in the development of an engaging system. Here, in our paper, an emotion detection system with real-time capabilities is presented. The system works with seven basic emotions: anger, disgust, fright, happiness, neutrality, sadness, and surprise. The model was developed with a low latency, high performance requirement in mind, so the underlying facial dataset was extensive and diverse. Mental health, customer service, and teaching are just a few of the many sectors that stand to benefit from this. This research sets the stage for how emotion recognition can influence the design of new technologies.

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Sentiment Decoding Using Facial Cues for Human–Computer Interaction

  • 会议论文

  • 发表日期：

    2026年

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  • S. P. Panimalar,
  • S. Sudhakaran,
  • A. Adhithya,
  • D. Yokesh,
  • R. Manikandan

摘要

The enhancement of the application of artificial intelligence toward the recognition of human feelings is clearly noticeable in areas such as user engagement and health, as well as in the development of an engaging system. Here, in our paper, an emotion detection system with real-time capabilities is presented. The system works with seven basic emotions: anger, disgust, fright, happiness, neutrality, sadness, and surprise. The model was developed with a low latency, high performance requirement in mind, so the underlying facial dataset was extensive and diverse. Mental health, customer service, and teaching are just a few of the many sectors that stand to benefit from this. This research sets the stage for how emotion recognition can influence the design of new technologies.