Biofeedback Speeds Adaptation to Exoskeleton Gait Assistance

Area of Science:

• Robotics
• Biomechanics
• Human-Computer Interaction

Background:

• Exoskeletons enhance mobility but require extensive user training.
• Augmented feedback aids motor learning but is challenging for exoskeleton gait assistance due to complex coordination and coupled dynamics.

Purpose of the Study:

• To develop and evaluate a visual biofeedback system for novice ankle exoskeleton users.
• To guide users in modifying ankle kinematics and foot placement for improved energy economy.

Main Methods:

• A visual biofeedback system was developed to provide real-time guidance.
• Novice users trained with the biofeedback system to adapt their gait.
• Metabolic cost of walking was measured to quantify energy savings.

Main Results:

• Biofeedback training doubled the energy savings from exoskeleton use.
• Trained users achieved a 23.5% reduction in metabolic cost, compared to 11.8% in the control group.
• Biofeedback enabled novice users to reach adapted user benefits in one-quarter of the time.

Conclusions:

• Visual biofeedback effectively accelerates motor adaptation to exoskeletons.
• This approach can enhance exoskeleton effectiveness and promote wider adoption.
• Further benefits may be unlocked with continued biofeedback-assisted training.