Measurement and compensation of spatial errors in optical motion capture via a spatially adaptive weighted RBF–residual neural network

Key Points

• Compensation techniques significantly reduce spatial errors in optical motion capture systems, indicating improved accuracy.
• Measurement of spatial errors was assessed under various conditions, leading to an average error reduction of 25%.
• Analysis employed a spatially adaptive weighted RBF–residual neural network to enhance error measurement and compensation.
• Highlights the need for better techniques in optical motion capture to improve the fidelity of motion tracking systems.