Reminding system for safety smartphone using to reduce symptoms of computer vision syndrome

© 2018 IEEE. Prevention or reduction of the symptoms of Computer Vision Syndrome (CVS) can be done by following the 20-20-20 rule (take a 20-second break to view something 20 feet away every 20 minutes). Hence, an intelligent tool is required to encourage the user following this rule and aware of a...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Watcharee Jumpamule, Tanakron Thapkun
التنسيق: وقائع المؤتمر
منشور في: 2019
الموضوعات:
الوصول للمادة أونلاين:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85066471222&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/65512
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الوصف
الملخص:© 2018 IEEE. Prevention or reduction of the symptoms of Computer Vision Syndrome (CVS) can be done by following the 20-20-20 rule (take a 20-second break to view something 20 feet away every 20 minutes). Hence, an intelligent tool is required to encourage the user following this rule and aware of a computer safety-using. This paper proposes a new reminder system which constantly monitors the use of a smartphone in real time for periodic breaks (and produces a warning and some practical advice) to slow down at least one level of CVS symptoms. The proposed system was conducted in four main phases: study and collect data, analysis and design, implementation, and experiment phases. This system has four main features: user interaction detection, use/pause time counting, alarm making, advice display and object distance estimation. For a continuous usage period, we calculate from the interval of user interaction, i.e. screen touching, keystroke, mouse move and a light sensor. For a warning break, we used a rule-based alarm. Furthermore, the proposed system captures the computer-using behavior by recording a usage and pause time for each use period. The experiment results showed that the smartphone using which this proposed system installed, can statistical significantly reduce a symptom level of burning eye for all user, but for other symptoms reduction statistically, depend upon each user. User satisfaction of this system is scored for 8.2 of 10.