High Precision Eye Tracking Based on Electrooculography (EOG) Signal Using Artificial Neural Network (ANN) for Smart Technology Application

Author:

Alam Md. Mahtab,Raihan Md. Mohsin Sarker,Chowdhury Mubtasim Rafid,Shams Abdullah Bin

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. AgriAI: Machine Learning Frameworks for Tailored Crop Recommendations using Soil Nutrient Parameters;2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS);2024-03-08

2. Flexible Textile Based Electrooculogram Wearable Eye Tracking System for Human-Machine Interface;2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS);2023-08-06

3. Exploring Eye Expressions for Enhancing EOG-Based Interaction;Human-Computer Interaction – INTERACT 2023;2023

4. Experimentation on Detection and Analysis of Drowsiness and Fatigue Based on Permutation Entropy and Hurst Exponent;2022 IEEE 6th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON);2022-12-17

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