Design and Application of Artificial Intelligence-Based Sports Rehabilitation Robot Auxiliary System

With the development of artificial intelligence technology, the field of sports rehabilitation has also made significant progress. Our team adopted the moving human body target recognition technology to achieve "human motion capture", "exercise prescription", "exercise rehabilitation", and the application of "combination of physical medicine", and the use of "OMO" mode to achieve the effective aggregation of online, mobile and offline, to create an online-mobile-offline integrated health exercise prescription design system. Through precise mechanical structure, control system and sensor system, and real-time data monitoring, the system provides personalized rehabilitation training program, which is suitable for neurological rehabilitation, orthopedic rehabilitation and elderly rehabilitation and other scenarios. Its advantage is that it can adjust the training plan according to the specific situation of the patient, feedback the movement status in real time, improve the accuracy and safety of the training, and continuously optimize the rehabilitation program through data-driven.

I. Introduction

The outline of the "Healthy China 2030" plan was released, making the "physical medicine integration" gradually become the focus of hospitals, rehabilitation centers, and fitness sports industry. China started late in the research and development and application of exoskeleton robots, and began to carry out research and development in the early 21st century [1]. With the rapid development of domestic 5G technology, active health technology and 3D scanning printing technology, China is expected to overtake Europe, the United States and Japan in the research, development and commercialization of rehabilitation robots and enter the world's leading echelon [2]- [3].