Design and Analysis of Flexible Exoskeleton for the Elderly Based on Deep Learning: From Rehabilitation Needs to Technological Innovation

Abstract

With the acceleration of the aging of the global population, the needs of the elderly for rehabilitation of movement disorders have become increasingly prominent. This paper aims to explore the potential of flexible exoskeleton design based on deep learning in meeting the rehabilitation needs of the elderly. By analyzing the limitations and challenges of existing technologies, this paper proposes a comprehensive solution and looks forward to its future development prospects. The article first introduces the background of population aging and the current situation and challenges of the rehabilitation of the elderly with motor disorders, and then expounds the social significance. In the working process of the device, the peripheral configuration and project implementation steps are introduced in detail. The discussion of key technologies focuses on the application of human intention recognition, dynamic adjustment algorithm. In addition, the paper also analyzes the existing problems of flexible exoskeleton equipment, and looks forward to the future development. Finally, the research results are summarized and the future development direction is prospected.