With the improvement of living standards, the demand for high-quality, personalized modern fashion has surged, which has promoted the growth of this customized clothing industry. The integration of cutting-edge technologies such as 5G, artificial intelligence and Internet of Things with traditional clothing production has pushed virtual try-on technology to the forefront of global research. This study focuses on the technical challenges of 3D clothing dynamic virtual try-on system in real life—specifically, personalized posture tracking, high-fidelity real-time interaction and cost-effectiveness—using 3D visual sensing theory, clothing simulation modeling principle and advanced tools including Unity3d and Maya. It deeply studies the key areas: collecting sensory data based on Kinect, extracting the skeletal posture characteristics of the elderly, measuring their body circumference and size, developing a 3D dynamic model of clothing with tracking control, and realizing real-time dynamic display of virtual try-on results.