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Web of Proceedings - Francis Academic Press
Web of Proceedings - Francis Academic Press

Design Strategy Research on AI-Based Lower Limb Mobility Assistive Device with Rehabilitation Features

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DOI: 10.25236/icetmr.2024.010

Author(s)

Jiahao Yang

Corresponding Author

Jiahao Yang

Abstract

This paper explores the design strategy of an AI robot lower limb action assistance device, focusing on applying rehabilitation attributes. With the intensification of global aging and the increase in the number of people with physical disabilities, traditional rehabilitation methods have limited effectiveness. AI robot lower limb assistive devices have become a new solution due to their intelligence and automation advantages. The paper analyzes key technologies such as biomechanics, sensor technology, data fusion, and artificial intelligence and explores the application of PID control and adaptive control in auxiliary instruments. The conclusion is that future assistive devices will be more intelligent, lightweight, and widely used in personalized rehabilitation.

Keywords

Rehabilitation Medicine, AI Robot, Lower Limb Motion Assist Device, Design Strategy, Biomechanics