Data-Driven VR Movement Game for Adaptive Upper Extremity Rehabilitation for Children with Hemiparetic Cerebral Palsy: A Novel Therapy Approach
摘要
Children with neurodevelopmental disorders (NDDs), especially hemiparetic cerebral palsy (HCP), face barriers that limit physical activity and compromise quality of life. Although routine therapy and exercise can mitigate secondary complications such as contractures, many children are not motivated to participate in conventional interventions. This work investigates a virtual reality (VR)-based approach designed to increase engagement in upper limb movement, using a wizard-themed game in which players perform arm gestures to cast spells. Motion tracking devices record joint angles and determine the user’s range of motion (ROM). This movement data then provides valuable insights into the user’s movement patterns during the VR experience. In addition, the data collected can support the future implementation and training of a reinforcement learning (RL) agent that further adapts the game to the individual needs of a child with HCP. Finally, the VR application was evaluated for usability and functionality in a feasibility study with healthy participants. The knowledge gained in this work thus represents a first step towards the potential integration of VR as a data-driven therapy for children with HCP.