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Parameter estimation of a model describing the human fingers
Panagiotis Tsakonas1, Evans Neil1, Joseph Hardwicke2
1School of Engineering University of Warwick Coventry UK.
Healthcare Technology Letters
|February 19, 2024
Summary
This study introduces a new mathematical model for human finger motion using Lagrangian mechanics. The model, validated with motion capture data, reveals finger movements are underdamped in flexion/extension and ad/abduction.
Area of Science:
- Biomechanics
- Robotics
- Human motion analysis
Background:
- Existing finger motion models lack detail on underlying mechanisms and anthropometric scaling.
- A need exists for a comprehensive kinematic model of human finger articulation.
Purpose of the Study:
- To develop a novel mathematical model of the human finger's kinematic chain using Lagrangian mechanics.
- To estimate model parameters from motion capture data of able-bodied individuals.
Main Methods:
- Utilized Lagrangian mechanics with four degrees of freedom to model finger kinematics.
- Collected free response motion data using a motion capture system.
- Filtered angular data and fitted it to a linear second-order differential approximation.
Main Results:
- The developed model accurately describes human finger motion.
- Free response motion of finger segments was found to be underdamped.
- This underdamped characteristic applies to both flexion/extension and ad/abduction movements.
Conclusions:
- The novel Lagrangian-based model provides a robust framework for understanding human finger kinematics.
- The findings on underdamped motion offer insights for prosthetic and robotic hand design.
- The model's parameter estimation allows for personalized kinematic analysis.
