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Proactive Emotion Tracker: AI-Driven Continuous Mood and Emotion Monitoring
Published 24 Jan 2024 in cs.HC and cs.AI | (2401.13722v1)
Abstract: This research project aims to tackle the growing mental health challenges in today's digital age. It employs a modified pre-trained BERT model to detect depressive text within social media and users' web browsing data, achieving an impressive 93% test accuracy. Simultaneously, the project aims to incorporate physiological signals from wearable devices, such as smartwatches and EEG sensors, to provide long-term tracking and prognosis of mood disorders and emotional states. This comprehensive approach holds promise for enhancing early detection of depression and advancing overall mental health outcomes.
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