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Copyright (c) 2020 Proceedings on Automation in Medical Engineering
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This paper reports early-stage development results of a home-based gamified wrist rehabilitation training system for children with cerebral palsy (CCP). We propose a system composed of a wrist-worn inertial measurement unit (IMU) and a tangible device with an embedded IMU. We introduce a quaternion-based algorithm for real-time estimation of the range of motion (RoM) covered by adduction/abduction and flexion/extension motions of the wrist. Results of an initial proof-of-concept study with approximate ground truth show that the RoM can be determined with sufficient accuracy. A gamification concept is proposed that aims at providing biofeedback as well as motivating stimuli to CCP.