In this thesis, we present a personalized and automated framework for computing the basin of stability for human motion. To do this, we first develop a tool to compute the basin of stability for dynamical systems and apply this to human motion. The utility of this framework is illustrated on the Sit-to-Stand task, though it can handle more general motions such as gait. The framework is broken down into three components. First, a representative hybrid model is chosen for the standing motion. Second, a controller is constructed to track the motion using optimal control and PD control. Third, using recent advances in hybrid occupation measures, an outer-approximation of the basin of stability is computed. We study the Sit-to-Stand action of 15 subjects (10 young and 5 older) and the computed basin of stability can differentiate between less and more stable Sit-to-Stand strategies. The contributions are the first steps towards developing a numerical method for determining the basin of stability of human motion.