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EYE STRAIN MONITORING SYSTEM FOR ELECTRONIC GADGET USERS

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dc.contributor.author Foong Yee Lai
dc.contributor.author TS. DR. HJH. WAN ROSEMEHAH WAN OMAR
dc.date.accessioned 2023-01-12T02:01:20Z
dc.date.available 2023-01-12T02:01:20Z
dc.date.issued 2022-07
dc.identifier.isbn e-ISBN: 978-967-2258-97-1
dc.identifier.uri http://repository.psa.edu.my/handle/123456789/3899
dc.description.abstract COVID-19 use causes dry eyes, fatigued eyes, increased myopia, shoulder, and back pain. Symptoms include dry eye, vision correction, binocular visual pressure, and precorneal tear film complaints. This project will construct a distance circuit utilising an ultrasonic sensor for a vision care detector, a timer circuit for managing the time duration in using electronic devices to prevent eye strain, and an analysis of the eye strain user's usability in distance and time duration. The Arduino microcontroller monitors the user's sitting distance from the screen and time spent on electronic devices. This project's ultimate result is detecting the user's distance from the computer screen; 40 cm is a reasonable distance. Every two minutes, the user's seating distance is monitored to monitor eye movement, improving sitting posture and preventing eye strain. en_US
dc.language.iso en en_US
dc.publisher POLITEKNIK TUANKU SYED SIRAJUDDIN (PTSS) en_US
dc.subject Eye Strain en_US
dc.subject Computer en_US
dc.subject Distance between screen and body en_US
dc.title EYE STRAIN MONITORING SYSTEM FOR ELECTRONIC GADGET USERS en_US
dc.title.alternative NCTS: 2nd National Conference on TVET Undergraduate Students en_US


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