https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/3480 2026-04-16T02:34:18Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/3542 Title: Biofeedback based computational approach for working stress reduction throgh meditation techniqueon technique Authors: Perera, P.M.C.; Perera, J.A.P.H.; Ratnarajah, L.M. 2016-06-09T00:00:00Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/3527 Title: Personalized Eye Fatigue Detection for Mobile Users Authors: Liyanagamage, Achini Thilanka 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. 2016-06-09T00:00:00Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/3525 Title: Psychophysiological Approach for Determining Mental States Associated With Serious Games Authors: Gunarathna, I.A.D.K.C.W. Abstract: The role of cognitive aspects has been widely researched in learning context. Yet very handful of studies are visible in the literature that digs deeper to find the role of affect in learning situations. While this situation remains the same it seems that the learning /teaching methods used in learning contexts also not proven success. We have found that gaming, in particularly serious gaming is an appropriate way of learning and acquiring new knowledge. Flow theory which states that certain mental states are a product of challenge level of a task and users skill level stands as a gateway to evaluate the affective states in learning context. In this study we have used serious games as the method of learning and to assess the relationship between affective states and flow theory we have followed a psychophysiological approach. This research is composed of a well-designed experiment initiated after a thorough literature survey and several pilot experiments. We have went extreme lengths to protect the purity of primary data obtained in the experiment. After a successful data collection, analysis was conducted and after that we concluded that affective states can be measured in serious games and relaxation and challenge has strong relationship. And also we have found that some personality traits such as conscientiousness have a strong relationship with the affective states. Validly of the finding were proven via statistical methods. 2016-06-09T00:00:00Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/3524 Title: Data Driven Approach for Optimizing the Quality in Gastronomic Recipe Recommendation Authors: Nirmal, B. A. I. Abstract: Food is playing an ultimate role in the human life not only by being a biological need, but by being a defining factor of the human civilization. Preparation of the food makes it more digestible and healthy as well as it has led to have unique clusters of food preparation patterns around the world. The choice of the food is mainly depended on its flavour and nutrient but the biasness towards the flavour factor when choosing food has lead human to effect badly on their healthier lifestyle. Several health promotion works have been done but proven unsuccessful due to inadequate acceptance in real world situations. The major reason for this rejection is sacrificing flavour factor over the nutrient enhancement food. Therefore, healthier foods tend to be unpalatable which make them unaccepted by the majority in the society. The personalized nature of food choices have also affected this problem. Due to the unprecedented growth of internet, food recipe sharing is also grown which has enabled the access to a large amount of worldwide recipe data to explore. We are utilizing a large food recipe dataset and analyse the patterns of food combinations which are popular among several cuisines. Food pairing hypothesis which has analysed the cuisine specificity of a range of raw food items has laid the foundation to our study. Food pairing patterns are then interpreted using several indicators provided by the Food Pairing Hypothesis and use to assess the novel ingredient combinations. We are defining flavour and nutrient as the quality variables of the food recipes and suggesting a framework that optimizes the quality of the food recipe when altering a single ingredient. Altering a single ingredient is a common phenomenon occurred in kitchens every day and recipe recommendation using the proposed quality variables has not been tried before. Our data driven framework consists of classification model which have achieved 79.38% prediction accuracy when detecting the cuisine. Framework then optimizes the changing ingredient according to the original recipe’s classified cuisine. The framework encompasses of flavour optimization phase and nutrient optimization phase which utilizes a generalized flavour recommendation and a personalized nutrient recommendation approach. Finally, the evaluation of the generated candidate ingredients for the altering ingredient based on data driven testing and by expert opinion provided approximate acceptance ratings 2016-06-09T00:00:00Z