Testovanie duševného zdravia s využitím Deep Learning

Abstract

This research focuses on the development of an innovative program to detect a mental health condition, specifically depression, using machine learning methods. The methodology consists in monitoring a person's facial expressions through a camera, while reactions to displayed images provide data on the emotional state. Using Deep Learning technologies, the system allows the algorithm to be taught to recognize emotional reactions and identify potential deviations that may indicate psychological problems such as depression. This technology has the potential for early diagnosis and intervention, which is crucial for effective treatment of depression and tailored therapeutic interventions, which could improve the quality of life of affected individuals.