Development of Solution Technology for Personalized Gait Control and Performance Evaluation of Lower-limb Robotic Exoskeleton through Artificial Intelligence/Big Data

Period : 2020-04-01 ~ 2023-12-31
Total Budget : 300,000,000 원

Goal of This Project

• Implementation of Walking Big Data Construction Technology Using Motion Analysis System
• Development of robot control technology and artificial intelligence-based personalized walking parameter generation algorithm and walking diagnosis digital healthcare technology
• Establishment of exoskeleton robot system with walking integrated solution technology

Project Contents

User walking big data construction technology (SW) using motion analysis system

• Sensor fusion technology that integrates motion analysis systems (optical/non-optical motion analysis sensors, ground reaction force measurement sensors, bio-signals, etc.)
• Human body motion and walking analysis technology using integrated motion analysis system and terrain platform
• Data collection and data set construction technology using the Robot Operating System (ROS) environment
• A technique for classifying data from a wide range of human walks through indexing and analysis of collected data

Robot control technology and AI-based personalized walking parameter generation algorithm and walking diagnosis digital healthcare technology (SW)

• Technology for generating a model for predicting timing and auxiliary torque parameters to support user muscle optimization
• Synchronization gain prediction model of patient leg joint for optimal gait support
• PID/Impedance-Control technology for active motion control during walking
• Personalized control parameter extraction technology through the application of big data and artificial intelligence
• Performance factor modeling technology for determining personalized walking ability and amount of walking support

Exoskeleton Robot System with Walking Integrated Solution Technology (SYS)

• H30A Robot with Personalized Muscle Support Model Technology
• HKAFO robot with patient optimization Synchronization gain prediction model technology
• Data Interworking and Collection Technology of the System for Performance Analysis before and after Wearing Exoskeleton Robot
• Performance evaluation technology of walking support rate through comparative analysis before and after wearing a robot

Participating Researchers

• Wansoo Kim : Principal Investigator
• Seongmin Ha : (H/W) Electrical Part Design
• Joonhyun Kim : (S/W) AI Engineering, Optization, Data collection
• Joonhyung Kong : (H/W) Setting up experimental environments, building embedded systems
• Dongcheol Shin : (H/W) Setting up terrain and experimental environment equipment

Funding