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.

Amin Tavassolian
Faculty Supervisor: 
Dr. Kevin Stanley
British Columbia