Affective Computing in mHealth: AI-Driven Facial Emotion and Sentiment Detection for Remote Care

Prof. Ram Nath

Abstract


This paper explores the role of AI-driven affective computing in mHealth systems, focusing on facial emotion and sentiment detection. The study evaluates the use of facial expression recognition and NLP models to interpret patients' emotional states, enabling improved mental health monitoring in remote care settings.

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