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DC Field | Value | Language |
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dc.contributor.author | Watcharee Jumpamule | en_US |
dc.contributor.author | Tanakron Thapkun | en_US |
dc.date.accessioned | 2019-08-05T04:34:37Z | - |
dc.date.available | 2019-08-05T04:34:37Z | - |
dc.date.issued | 2019-05-10 | en_US |
dc.identifier.other | 2-s2.0-85066471222 | en_US |
dc.identifier.other | 10.1109/ICSEC.2018.8712747 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85066471222&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/65512 | - |
dc.description.abstract | © 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. | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Engineering | en_US |
dc.subject | Mathematics | en_US |
dc.title | Reminding system for safety smartphone using to reduce symptoms of computer vision syndrome | en_US |
dc.type | Conference Proceeding | en_US |
article.title.sourcetitle | 2018 22nd International Computer Science and Engineering Conference, ICSEC 2018 | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
article.stream.affiliations | G-ABLE Co. Ltd. | en_US |
Appears in Collections: | CMUL: Journal Articles |
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