Faculty Advisor

Agu, Emmanuel O.

Faculty Advisor

Claypool, Mark L.

Abstract

Only one in three children are physically active each day due to the growing online lifestyle and the lack of enjoyable alternatives besides organized sports. One viable alternative is mobile exercise games (exergames). Currently, there are many problems with the process of connecting people to exergames they would enjoy, including that it can be difficult to discover new enjoyable exergames and an exergame recommender system does not exist. To help create this system, we determined that it is possible to measure enjoyment in exergames using accelerometer and gyroscope data from their smartphone. By running experiments using the Just Dance Now and Pokémon Go mobile exergames, we were able to create a final classification model that was able to correctly predict enjoyment 75% of the time.

Publisher

Worcester Polytechnic Institute

Date Accepted

March 2017

Major

Computer Science

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Computer Science

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