Appropriate sensor signal analysis and abstraction in physical activity game design

The industrial partner, Digido, is interested in developing and marketing exercise games targeted at children that leverage the increased prevalence of smartphones and their sensing and computational capacity, including: their ability to detect activity levels; their increasing use as a gaming platform; and their integration with social media and online communities. However, current activity sensing and classification techniques are too limiting for use in smartphone-based exergames for children. This project will combine sophisticated signal analysis and classification techniques with game design to produce pairs of robust, accurate and reliable sensor-input-game-mechanic dyads to produce an activity sensing input library for children’s smartphone exergames.

Faculty Supervisor:

Dr. Kevin Stanley

Student:

Amin Tavassolian

Partner:

Digido Interactive

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Saskatchewan