A laser-engraved wearable gait recognition sensor system for exoskeleton robots.

Area of Science:

• Robotics
• Wearable Technology
• Biomedical Engineering

Background:

• Assisted exoskeleton robots enhance load-bearing and prevent injuries in fields like freight transport and healthcare.
• Accurate gait information perception is crucial for controlling exoskeleton robots and enabling motion planning for assistive functions.

Purpose of the Study:

• To develop a wearable gait recognition sensor system for exoskeleton robots.
• To integrate flexible and reliable laser-induced graphene pressure sensor arrays for real-time plantar pressure detection.

Main Methods:

• Development of flexible and reliable pressure sensor arrays using laser-induced graphene.
• Integration of multiple sensor units into an insole to capture plantar pressure data.
• Design of circuit hardware and algorithms for gait recognition capabilities.

Main Results:

• Achieved a high gait recognition accuracy of 99.85%.
• Demonstrated the system's effectiveness through testing on an exoskeleton robot.
• Validated the reliability and flexibility of the laser-induced graphene pressure sensors.

Conclusions:

• The proposed wearable sensor system significantly enhances gait recognition accuracy for exoskeleton robots.
• The system's high performance and effectiveness are verified, paving the way for improved exoskeleton control.
• This technology offers a promising solution for advanced human-robot interaction in various applications.