Response Surface Methodology to Optimize the Screen Brightness and Duration of Laptop Usage Based on the Eye Blink Rate

Author:

Agrawal Kush1,Jain Reetu2

Affiliation:

1. The International School Bangalore,Bangalore,India

2. On My Own Technology,Mumbai,India

Publisher

IEEE

Reference35 articles.

1. Adjusting eye aspect ratio for strong eye blink detection based on facial landmarks

2. A Cancer Biologist's Primer on Machine Learning Applications in High‐Dimensional Cytometry

3. Predictive text analysis using eye blinks

4. Drowsy Alarm System Based on Face Landmarks Detection Using MediaPipe FaceMesh;sangal;In Proceedings of First International Conference on Computational Electronics for Wireless Communications,2022

5. Visual Information based Driver Drowsiness Detection Using EAR and CNN (thesis);jha,2022

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1. A Blink Detection Algorithm for Eye-Tracking Applications Based on Facial Geometry;2024 47th MIPRO ICT and Electronics Convention (MIPRO);2024-05-20

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