Families of ROC Curves Are Applied to the Methods of Comparison of Emotional Analysis Results

This paper proposes integrating expert perspectives and building families of ROC curves to assess the validity of the observation model against a case study. In this regard, it was revealed that by studying emotions in the face and employing computer software, coincidences may be produced. In practice, the formation of various ROC curves highlights the importance of computer and statistical analysis in such situations, as the subjectivity in these types of investigations grows. Utilize a family of ROC curves as a measure of experimental coincidence, which has shown a 60% success rate in routine testing.