This paper introduces a game-based approach to stroke rehabilitation, specifically highlighting a trigger mechanism that utilizes a standard camera within an in-home rehabilitation system. The trigger mechanism is implemented using the MediaPipe framework, which incorporates pose estimation techniques, and a adaptive threshold adjustment. The focus is on exergaming actions designed for stroke rehabilitation, taking the example of Stroke Runner, which involves movement and pose control for game interaction. Additionally, the paper discusses the performance report generated to assess and reflect the rehabilitation progress.