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Fitting mathematical functions to joint kinematics during stepping: implications for motor control.
H Flashner1, A Beuter, A Arabyan
1Department of Mechanical Engineering, University of Southern California, Los Angeles 90089-1453.
Biological Cybernetics
|January 1, 1988
Summary
This study models human stepping using joint kinematics to understand open-loop motor control. Results show joint movements can be described by a few functions, aiding analysis of movement disorders.
Area of Science:
- Biomechanics
- Neuroscience
- Robotics
Background:
- Human stepping involves complex motor control.
- Previous models often lack detailed kinematic analysis.
- Understanding open-loop control is crucial for motor function.
Purpose of the Study:
- To develop and validate a model for open-loop stepping control using joint kinematics.
- To investigate the relationship between joint space data and motor control during stepping.
- To provide a flexible analytical tool for studying movement kinematics.
Main Methods:
- Described a model of open-loop stepping control based on joint kinematics.
- Employed functional approximations to simulate experimental joint kinematic data.
- Collected data from a subject repeatedly stepping over an obstacle.
Main Results:
- Joint kinematics during stepping can be characterized by a small set of functions.
- This provides a simple analytical description of open-loop motor control.
- Basis functions and coefficients reflected qualitative joint trajectory behavior.
Conclusions:
- The model offers a flexible approach to formulating system kinematics.
- It can be used to study movement pathologies and development.
- The model aids in segmenting multiarticular movements into elementary components.