Alexander Wu¹, Amelia Wu² and Moddwyn Andaya³, ¹California Connections Academy Central Valley, USA, ²UC San Diego, USA, ³California State Polytechnic University, USA

We address the rising issue of increasing weight and declining health due to sedentary lifestyles and unhealthy diets. Our solution involves a camera tracking system that monitors users' movements and offers six engaging exercise games, bridging the gap between fitness and enjoyment. The project comprises three interconnected components: pose estimation, game information, and mini-games, with C# code utilized for pose estimation and individualized coding for seamless integration of each game. Throughout the development process, three notable challenges emerged: occasional sensory issues with the pose estimate, animation complexities, and the absence of an effective scoring system. To enhance the efficiency of the pose estimate, we conducted three rounds of trials, each consisting of ten arm circles, revealing that proximity to sensors was a common cause of issues. The animation challenge was overcome by incorporating free, simple, and readily available animations from online sources into human models for games requiring user interaction with models. To address the scoring dilemma, we clarified game goals by providing text instructions, guiding users on how to achieve success. This application caters to a younger audience, offering affordability, visual appeal, intense exercise, and swift results. Balancing fitness and fun, it presents an ideal solution for those seeking an engaging and effective exercise regimen.

Exercise, AI, Unity, Mini Games