Graph modeling of bone motion dynamics from thermal imaging and motion capture data

With the development of sports science, the integration of motion capture technology and thermal radiation imaging has provided new means for skeletal movement analysis. These technologies can more accurately capture and analyze the heat distribution and bone dynamics during movement. This paper analyzes the optimization parameters of skeletal movements based on thermal radiation imaging technology and motion capture systems. By constructing a motion heat model, it achieves precise capture and analysis of movement parameters, thereby providing data support and optimization recommendations for sports training. The study constructs a geometric model of human bones and performs collision detection on the model. Through parametric representation and sparse localization decomposition methods, the modeling and reconstruction of skeletal movements are carried out, analyzing the relationship between movement parameters and thermal effects. Research shows that the combination of motion capture and thermal radiation imaging technology can effectively enhance the accuracy of skeletal movement models.