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SUGGANYA A/P KUMARAYSUN

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Sugganya Kumaraysun specializes in simplifying user problems related to software applications for the smooth operation of IT-based businesses. Sugganya is studying at Universiti Sains Malaysia, majoring in Software Engineering and minoring in Management. She has learned the inner workings of System Analyses and Design and other Software Engineering techniques to ensure a high rate of success in software solutions. Recently she has completed a software development cycle with well-structured code on a recommendation system to allow for future updates. Sugganya is currently finishing her Bachelor of Computer Science. She is seeking a career in Software Engineering soon.

Matrix No:

137166

Student Email: 

Supervisor:

PM. Dr. Umi Kalsom Yusof

Supervisor Email: 

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Project

SC054

Personalized Workout Monitoring

Physical fitness is becoming more important around the world as a necessary means to stay healthy. However, current applications do not always meet user demands. People want to have more details available to them about the exercise they are doing. Research shows that in terms of exercise and working out, people want applications that can ease their progress tracking or routine scheduling. The findings show that applications mainly used today are tracker applications and workout applications. Trackers applications track users� goals or body conditions (walking, swimming). Workout applications help users� make a workout routine from all of the listed workouts in the application. This shows that users will need multiple applications to workout and track their goals. Additionally, these workout applications do not give recommendations to the user, but rather provide them with a long list for the user to filter through manually.
The personalized workout monitoring system �Gains� will be a combination of tracking user goals such as tracking applications and setting up user workout routines similar to workout applications. First users get a personalization of difficulty level and location. The difficulty level will be used to estimate how experienced the user is in working out and if they will be able to perform some more complex workout routines. Location (home, gym, home gym, park)will be used to estimate the equipment that will be available to the user at that location With these two criteria the system will then be able to recommend workout routines to the user. This to ease user selection of workout routines thereby potentially improving on overall user experience. Guides will be provided for each workout to reduce the risk of injury.

Gallery

Gallery

Demo

Demo

Other Project

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Contact Us:

School of Computer Sciences
Universiti Sains Malaysia
11800 USM Penang, Malaysia
Tel: +604-653 3647 / 2158 / 2155
Fax: +604-653 3684

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