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arXiv · 2401.13722

Proactive Emotion Tracker: AI-Driven Continuous Mood and Emotion Monitoring

Mohammad Asif·Sudhakar Mishra·Ankush Sonker·Sanidhya Gupta·Somesh Kumar Maurya·Uma Shanker Tiwary
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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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Mohammad Asif, Sudhakar Mishra, Ankush Sonker, Sanidhya Gupta, Somesh Kumar Maurya, Uma Shanker Tiwary. 2024-01-24. Proactive Emotion Tracker: AI-Driven Continuous Mood and Emotion Monitoring. https://arxiv.org/abs/2401.13722

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