Please use this identifier to cite or link to this item: http://repository.psa.edu.my/handle/123456789/3868
Title: PROPOSAL ON AN EYE STRAIN MONITORING FOR ELECTRONIC GADGET USERS
Other Titles: 6th INTERNATIONAL CONGRESS OF EURASIAN SOCIAL SCIENCES
Authors: Foong Yee LAI
TS. DR. HJH. WAN ROSEMEHAH WAN OMAR
Keywords: Eye strain
computer
distance between screen
Issue Date: May-2022
Publisher: KORINT YAYINCILIK
Abstract: The problem statement of this study is long-term use of electronic devices causes vision problems, such as dry eyes, tired eyes, increased myopia, etc during COVID-19. Dry eye is the most obvious symptom, but it also includes symptoms related to vision correction or binocular visual pressure, as well as complaints about the precorneal tear film (Branzila, 2020). The objective of this project is to design a distance circuit system by using the ultrasonic sensor for a vision care detector, to design a timer circuit for managing the time duration in using electronic gadgets as prevention to sore eyes, and analyze the usability of eye strain user in distance and time duration of using electronic gadgets. The Arduino microcontroller is used to monitor the user's sitting distance from the screen and to manage the user's time spent on electronic gadgets. Through the interface of hardware and software, which are the Arduino system and the Blynk app, the user of an electronic gadget will be able to monitor their usage period of the electronic gadgets. Based on the research findings in journals and articles, it proved that the ideals of sitting distance or body between screens will be 0.50m to 0.73m. Consideration of eyecomputer screen distance while using computers is also a measuring parameter in this project and then to analyze the suitable range of distance for the computer users, there is some more research needed for this parameter to ensure the expected result. Extensive studies have been carried out in order to identify the blink rate, the average spontaneous blink rate is between 12 and 15 blinks per minute. This system is composed of sensors such as an ultrasonic distance sensor, an Arduino Uno R3, and software programming that can automatically collect data and analyze it to ensure that the parameters of the users are within the expected range. This system will also link to the Blynk smartphone application to assist people suffering from eye strain symptoms.
URI: http://repository.psa.edu.my/handle/123456789/3868
ISSN: ISBN: 978-605-73901-3-4
Appears in Collections:Conference Paper

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