Detection of three visual impairments: Strabismus, blind spots, and blurry vision in rural areas using Raspberry PI by implementing hirschberg, visual field, and visual acuity tests

Author:

Paglinawan Arnold C.,Sejera Marianne M.,Paglinawan Charmaine C.,Ancheta Ryan Elbert H.,Guatato Nicole Jan D.,Nava Rey James H.,Sison Kimberly P.

Publisher

IEEE

Cited by 6 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. Android-Based Smart Stick Using Radar with Haptic Feedback for the Visually Impaired;2024 16th International Conference on Computer and Automation Engineering (ICCAE);2024-03-14

2. Machine Learning Based Pothole Detection and Alert System Using Arduino Onboard Accelerometer;2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM);2023-11-19

3. Development of Pupil Diameter Determination using Tiny-YOLO Algorithm;2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM);2022-12-01

4. Unmanned Aerial Vehicle with Human Detection and People Counter Using YOLO v5 and Thermal Camera for Search Operations;2022 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS);2022-06-25

5. Low-Cost Assistive Technologies for Disabled People Using Open-Source Hardware and Software: A Systematic Literature Review;IEEE Access;2022

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