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

Mohammad Asif, Sudhakar Mishra, Ankush Sonker, Sanidhya Gupta, Somesh Kumar Maurya +1 more
1/24/2024
cs.HCcs.AI

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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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Cite this paper

@article{asif2024proactive,
  title  = {Proactive Emotion Tracker: AI-Driven Continuous Mood and Emotion Monitoring},
  author = {Mohammad Asif and Sudhakar Mishra and Ankush Sonker and Sanidhya Gupta and Somesh Kumar Maurya and Uma Shanker Tiwary},
  year   = {2024},
  eprint = {2401.13722},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2401.13722v1}
}

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