E - Therapy Improvement Monitoring Platform for Depression using Facial Emotion Detection of Youth

摘要: In today’s generation depression is the most common mental health disorder which mainly affecting many people’s lifestyles especially youth generation. There are lot of applications evolved for and recent review apps indicates that importance given video communication in online therapy low leads to difficulties while therapist patients engaging therapies. It also reported these lack proper evidence improvements a significant concern users order monitor progress. Hence ultimate aim provide an effective application has ability predict patient, assist patient patient’s improvement level progress on each session using facial expression recognition. The proposed solution consists prediction feed – forward neural network model Depression scale measure level. Calculating based levels identified finally Visual represented dashboard patient.