Robot-assisted upper limb rehabilitation training pose capture based on optical motion capture
摘要
For upper limb rehabilitation, rehabilitation robots can help patients restore upper limb motor function, improve muscle strength and flexibility, promote nerve regeneration and improve muscle coordination, and provide customized rehabilitation training plans based on the patient's movement status and needs. In the design of the robot, a set of high-precision sensors are installed, and based on its non-invasive and high-precision characteristics, motion data is obtained by tracking the position and posture of the patient's arms and hands. The robot is equipped with intelligent algorithms that enable real-time feedback and adjustment based on patient motion data. Intelligent algorithms analyze the patient's motion data and provide personalized rehabilitation plans based on rehabilitation requirements and the patient's physiological condition. The robot will adjust the training intensity and difficulty based on the patient's progress and feedback through real-time feedback to ensure the effectiveness of rehabilitation training. Through patient experiments, it was found that the upper limb rehabilitation robot based on optical motion capture can effectively improve the muscle function of patients and improve their ability to take care of themselves in daily life, and the operation process is simple, making it easy for patients to get started.