Wobble Board

Wobble boards, used in fitness and rehabilitation, are increasingly studied for their potential in sensorimotor training and injury prevention. Research focuses on improving the accuracy and efficiency of embedded systems for recognizing exercises performed on wobble boards, often employing deep learning techniques and adaptive power management strategies to optimize performance and energy consumption. Simultaneously, research explores the dynamics of wobble in related robotic systems, such as pendulum-actuated spherical robots, aiming to develop control algorithms that mitigate unwanted oscillations and improve sensor data quality. These advancements contribute to both improved fitness tracking and enhanced robotic control systems.