Please use this identifier to cite or link to this item: https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/3815
Title: Exergame solution for energy expenditure
Authors: Niroshan, A. A. Kanishka
Issue Date: 16-Nov-2016
Abstract: Childhood obesity becoming a major problem to the world because it repercussions effect to the future adulthood and many illnesses during the life time. The intention of the research is to find out the solution for childhood obesity in a medically approach and scale of applicability of augmented reality based exergame solution to decrease the child obesity. Children’s exercise methods in present era, their daily routine has been identified and discussed. Currently available solutions to solve and confine above issues explained along with their pros and cons. Furthermore, existing literature related to exergame concept will be thoroughly analyzed and discussed while highlighting advantages of exergame with Microsoft Kinect. Already available exergame devices analyzed and introduce new solution to exergame implement with energy expenditure. A survey will be conducted covering a selected subset to identify the present children’s attitudes and routines. Conduct a literature survey to find an augmented reality based solution to child obesity problem. A prototype will be designed to present the proposed solution to the readers, which will be designed based on results and requirements captured via surveys. Prototype testing process will then be presented along with results and findings. Afterwards, the solution presented by the prototype will be critically evaluated based on findings out of selected users enrolling. Experiment results have proven that, the proposed game based solution can be used to address the childhood obesity as a medically recommended way. Prototype testing process will be present along with results and findings. Afterwards, the solution presented by the prototype will be critically evaluate and analyze based on findings by means of questionnaires. Finally, the project success will be concluded with identified future enhancements for the proposed solution.
URI: http://hdl.handle.net/123456789/3815
Appears in Collections:Master of Computer Science - 2016

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