Upper limb modeling and motion extraction based on multi-space-fusion

Area of Science:

• Biomechanics
• Human Motion Analysis
• Robotics

Background:

• Accurate modeling of human upper limbs is crucial for understanding natural movement.
• Existing methods face limitations due to the high degrees of freedom (DOF) and dynamic nature of upper limbs.

Purpose of the Study:

• To propose a generic and physiologically accurate method for upper limb modeling and motion extraction.
• To develop a robust tool for analyzing complex upper limb kinematics.

Main Methods:

• Introduced the Primitive-Based triangular body segment method (P-BTBS).
• P-BTBS utilizes a modular approach, allowing selection of motion angles and bones based on research needs.
• Designed for high accuracy in motion angle estimation and spatial coordinate determination.

Main Results:

• Validated P-BTBS performance in continuous motions with seven DOFs.
• Demonstrated P-BTBS's robustness in extracting motion information and describing upper limb movements.
• P-BTBS achieved high accuracy in motion angle and spatial coordinate estimation.

Conclusions:

• P-BTBS offers a novel mathematical tool for human upper limb motion analysis.
• The method provides a new perspective for human understanding and theoretical support for upper limb research.
• P-BTBS is suitable for various research topics and equipment, highlighting its generic applicability.