Balance Map Analysis for Visualization and Quantification of Balance in Human Walking.

Area of Science:

• Biomechanics
• Robotics
• Human Gait Analysis

Background:

• Evaluating walking stability, especially during stumbling, remains a challenge.
• Traditional inverted pendulum models focus on stance leg balance, neglecting swing leg dynamics.
• Stumbling-related balance loss is primarily associated with the swing leg's state.

Purpose of the Study:

• To propose a novel framework, balance map analysis, for assessing walking stability.
• To determine if the current state (position and velocity) in the swing phase can maintain steady-state walking or lead to a fall.
• To validate the balance map analysis using experimental data from steady-state and stumbled walking.

Main Methods:

• Developed a balance map analysis based on a linear compass gait model.
• Defined forward and backward balance loss regions within the compass gait model.
• Conducted measurement experiments of steady-state and stumbled walking to validate the model.

Main Results:

• Balance map analysis accurately predicted that steady-state walking states avoid balance loss regions.
• Stumbled walking states were observed to move towards the forward balance loss region.
• The margin from the forward balance loss region significantly decreased after stumbling perturbation.

Conclusions:

• Balance map analysis offers a new perspective on walking stability, incorporating stumbling and recovery.
• The framework effectively distinguishes between stable walking and balance loss states.
• This approach enhances the understanding of human walking dynamics during perturbations.