Artificial Intelligence based Design and Analysis of Exergaming compatible Lower Limb Exoskeleton for Rehabilitation of Pediatric Cerebral Palsy

Cerebral Palsy is one of the most common pediatric movement disorders. Rehabilitation of children with this disorder requires task-specific exercises but many children find it difficult to complete these tasks due to lack of motor capabilities. Exergaming is an innovative technology that literally means video gaming that promotes physical exercising by tracking body movements, thus making exercises fun which enable children to involve with interest. This paper proposes a 7-link lower limb exoskeleton with an artificial-intelligence based algorithm to enable the system to choose the most appropriate path trajectory based on continuous learning to assist target children in task-specific exergaming movements like cycling, jumping, kicking, running, dancing, and walking. The kinematic design has been done in such a way as to properly impart desired motion and forces to the user. Thorough analysis has been done to validate the system structurally and functionally to satisfy the required clinical specifications.