Human Joint

Human joints are complex structures crucial for movement and locomotion, with research focusing on understanding their biomechanics and replicating their functionality. Current studies employ diverse approaches, including reinforcement learning for precise robotic joint control, 3D printing techniques to create biomimetic artificial cartilage, and advanced neural networks like graph convolutional networks and transformers for analyzing joint movement from skeletal data in applications such as rehabilitation monitoring and human pose estimation. This research is significant for improving robotic design, advancing rehabilitation technologies, and furthering our understanding of human movement and musculoskeletal systems.