Near-realistic mobile exergames with wireless wearable sensors

Area of Science:

• Sports Science
• Human-Computer Interaction
• Biomedical Engineering

Background:

• Exergaming offers a solution for childhood/adult obesity and provides additional exercise for gamers.
• Mobile active sports exergames with realistic motion capture are emerging.
• Body-wearable sensors are key to developing immersive exergaming experiences.

Purpose of the Study:

• To develop a mobile active sports exergame utilizing body-wearable sensors for near-realistic motion capture.
• To create an enjoyable gaming experience by mapping real-world activities to game actions.
• To evaluate the effectiveness and user experience of the developed exergame.

Main Methods:

• Collected a dataset mapping real-world activities to game actions.
• Developed a motion recognition system using body-wearable sensors.
• Conducted a 30-person user study evaluating enjoyment and realism using the ExerSurvey.

Main Results:

• The classification algorithm achieved 77% precision and 77% recall, outperforming general activity monitoring.
• User study participants found the game motions realistic and difficult to cheat.
• The developed exergame was rated as enjoyable and active.

Conclusions:

• A mobile active sports exergame with near-realistic motions can be successfully developed using body-wearable sensors.
• The system demonstrates improved activity recognition compared to general monitoring algorithms.
• The exergame provides an enjoyable and engaging experience, suitable for various environments.