Development of fitness game applications for learning healthy lifestyle using unity game engine

Abstract

A lot of individuals in today's society have a poor understanding of physical fitness and the benefits of adequate nutrition and a healthy diet. As a result, the researchers decided to take an important step in light of the general absence of information on physical fitness and its related benefits. Researchers decided to create a game application that would be a great instrument to impart information and understanding to individuals. The major purpose of this application is to introduce users to a variety of fitness routines, allowing them to experiment with various physical exercises. By doing so, it aims to not only increase people's familiarization with various forms of exercise but also inform them of the numerous benefits of incorporating regular physical activity into their lives. The project is a proactive effort to minimize the knowledge gap while promoting a healthier lifestyle among the users. While conducting the study the researcher considered the problem of first the engagement and how to sustain the user's interest in the application and second the user's understanding of using the application and its functionality third the lack of information that the game developers provided in creating an application and last is how to identify the things that the researcher can do to make the flow of the gameplay improved. the researchers use some of the sub-characteristic of the ISO25010 that are appropriate for evaluating the gaming application. After evaluating the game application, the sub-characteristics of Functional Suitability garnered an overall weighted mean of 3.94 Performance efficiency and Usability both have a 3.81 Security has a 3.56, and Portability 3.82, the researchers used the confusion matrix with the help of the tool of Weka Software using the scheme of weka.classifiers.bayes.NaiveBayes the evaluation on the training set has a summary of Correctly classified instances of 90% and Incorrectly classified instances of 10% it indicates that the application has an accurate algorithm.