DEVELOPMENT OF METHODS AND SOFTWARE TOOLS FOR RESPONDING TO THE EMOTIONAL STATE OF USERS

Authors

  • Dmytro Kotlyarchuk Vinnytsia National Technical University
  • Halyna Chernovolyk Vinnytsia National Technical University

Keywords:

emotional state, response, neural networks, users, automation

Abstract

The development of methods and software tools for responding to the emotional state of users using neural networks is an important tool for improving human-computer interaction. These technologies help automate the analysis of emotions, which can improve the quality of service in various fields, including psychological support, education, and marketing.

References

Chowdhury K. R., Prasad A. M., Keshavamurthy R. K. Deep Learning for Emotion Recognition on Small Datasets: Challenges, Techniques, and Applications / K. R. Chowdhury, A. M. Prasad, R. K. Keshavamurthy., 2020. – 380 с.

Konar A., Chakraborty A. Emotion Recognition: A Pattern Analysis Approach / Amit Konar, Aruna Chakraborty., 2019. – 520 с.

Published

2024-06-09