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attention-detection

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Oculus Vigilis is a real-time attention feedback system that uses webcam input to monitor user focus during online activities. Designed to support individuals with attention difficulties like ADHD, it combines computer vision and deep learning for live feedback on attention levels.

  • Updated Jun 27, 2025
  • Jupyter Notebook

Real-time AI classroom attention monitoring system using computer vision — detects face, eye gaze, blink rate, head pose & drowsiness via webcam, fuses 5 signals into a weighted attention score, and streams live analytics to a FastAPI web dashboard.

  • Updated May 31, 2026
  • Python

SHAP-guided dynamic multimodal operator attention detection using EEG, ECG, and pupil-gaze biosignals, with ensemble learning, feature selection, and runtime model switching for human-centered industrial decision-support systems.

  • Updated Jul 7, 2026
  • Python

Mide el nivel de atencion de estudiantes universitarios mientras ven una clase en video. El analisis facial corre en el navegador con MediaPipe y solo viajan metricas al servidor, que las clasifica con un RandomForest en ATENTO / NEUTRO / DISTRAIDO. Next.js 15 + Django REST + PostgreSQL.

  • Updated Aug 12, 2026
  • TypeScript

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