An Application for Mental Health Monitoring Using Facial, Voice, and Questionnaire Information
Suphalerk Boonvitchaikul,
Napat Cheetanom,
Tagon Sompong
et al.
Abstract:Depression is a major societal issue. However, depression can be hard to self-diagnose, and people suffering from depression often hesitate to consult with professionals. We discuss the design and initial testings of our prototype application that performs depression detection using multi-modal information such as questionnaires, speech, and face landmarks. The application has an animated avatar ask questions concerning the users’ well-being. To perform screening, we opt for a 2-stage method which first predic… Show more
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