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Gait Recognition for Lower Limb Exoskeletons Based on Interactive Information Fusion
Wei Chen1,2, Jun Li1,2, Shanying Zhu1,2
1Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, Tianjin University of Technology, Tianjin 300384, China.
Applied Bionics and Biomechanics
|April 5, 2022
Summary
Interactive information fusion enhances gait recognition for lower limb exoskeleton robots, overcoming limitations in rehabilitation and clinical practice. This technology offers a promising future for improved assistive device functionality.
Area of Science:
- Robotics
- Biomedical Engineering
- Rehabilitation Technology
Background:
- Gait recognition for lower limb exoskeleton robots has advanced but faces limitations in rehabilitation and clinical settings.
- Interactive information fusion presents a novel approach to address these challenges and represents a future research trend.
Purpose of the Study:
- To review and summarize the current research on gait recognition using interactive information fusion in lower limb exoskeleton robots.
- To provide a comprehensive overview of methods, challenges, and future prospects in this field.
Main Methods:
- Review of existing literature on information acquisition, interaction, fusion, and gait recognition for exoskeleton robots.
- Analysis of research progress in sensor placement, biomechanics, target groups, and gait recognition models.
Main Results:
- The review covers advancements in information acquisition techniques and sensor integration for exoskeleton robots.
- It details the application of interactive information fusion in gait recognition models for rehabilitation.
Conclusions:
- Interactive information fusion is crucial for advancing gait recognition in lower limb exoskeleton robots.
- Addressing current challenges and exploring future prospects will enhance rehabilitation and clinical applications.
