Personalized Eye Fatigue Detection for Mobile Users

Abstract

In the current digital environment, mobile devices make large amounts of information available at our fingertips. As a result of that, eye fatigue has become one of the major alarming factors faced by increasing amount of mobile device users. But the issue in this area is unavailability of feasible, practical and more importantly personalized solution to minimize this eye fatigue. Therefore, as a solution for that, this research explores whether a mobile based application could be used to detect personalised eye fatigue and alert the users before fatigue occurs. In this proposed system, real-time personalized eye fatigue reduction alert is generated by taking into consideration inputs such as the mobile device user’s blink rate, type of application used, duration of application used, time of the day and the screen size of the mobile device. In order to build a relationship among these factors, a mobile based application which capture all of these inputs was developed using openCv in android platform. Data gathering have been done under several phases. In the first phase of data collection non-intrusive method of data collection is used by using a data gathering application as a service application which runs in the background of the user’s mobile device. At the second phase, data collection is carried out in a controlled environment with 27 C temperature under light of fluorescent (CFL) bulbs using the same data collection application.Sample size of the first phase of data collection was 20 and the second phase of data collection was 40. All the research participants were in the age group between 18 to 25 years who do not use spectacles and not suffering from known visual disabilities. All the research data has been analysed under already generated hypothesis which are, “what type (text, video, image, game, Combination of all ) of applications lead to eye fatigue quickly?”, “what is the relationship between eye fatigue and screen size of the mobile device?”, “what is the relationship between time of the day and eye fatigue?” ,”what is the relationship between eye fatigue and blink rate ”, “what is the relationship between eye fatigue and brightness of the mobile device”, “what is the relationship between eye fatigue and resolution of the mobile device” and “Can ICT be used to propose a personalized solution to reduce eye fatigue in using mobile devices?”. xvi | P a g e After the relationship definition, all the hypotheses were further evaluated using same type of participants under same controlled conditions. But here we have considered only 23 types of highly usable android applications used by target research group and time of the day factor has been limited only to 8:00 A.M to 6:00 P.M. However, as a result of detailed analysis done on the collected data, we have successful in implementing a personalized mobile application. Importance of this proposed application is that, it has ability to alert users at the risk of eye fatigue and make them protect their eyes from possible damages.