Customizing Avatars to Enable No-Code Telerehabilitation Movement Therapy

Abstract

While numerous motion capture tools have emerged, scarcer are solutions tailored for code-free utilization environments. An intuitive no-code interface promises greater accessibility for diverse user groups. Guided by this premise, the myKLA2 toolkit incorporates integrated decoder, editor, and player components tailored for code-free motion development workflows. Leveraging cyber-physical system principles, the software enables users to customize digital avatars by selecting from a large repository of sharable 3D VRM models. Additionally, McCabe's cyclomatic complexity analysis facilitated iterative refactoring to optimize system capabilities and toolset performance. Advanced joint tracking and motion capture algorithms enable precise avatar animation mirroring user movements in real-time. A human-readable JSON format facilitates configurable behavior encoding and exchange. This research demonstrates the system's potential as a versatile no-code toolkit for rapid development and design across healthcare, education, and other domains. By automating core tasks like motion tracking configuration, sensor calibration, and basic quantitative assessments, this tool promises to streamline therapist workflows in telerehabilitation.