During the development of Chinese traditional martial arts, most of them have been passed down from master to disciple in the form of oral hand-to-hand transmission, which makes it difficult for most of them to be “standardized” and regulated. The digital characteristics of Bajiquan movements are explored using motion capture technology in this paper. The 3D Suit equipment is used to collect the position and rotation angle of the human body, and the collected data are processed by quaternion, Euler angle, and Kalman filtering to get the research data without interfering with information. After analysis of the results, there is a significant difference between the traditional training mode and the data-driven mode in the four dimensions of the stance of the Bajiquan Hammer Bracing Movement, indicating that the data-driven method is more effective in optimizing the Bajiquan movement. This study can help martial arts enthusiasts master the technical fundamentals of Bajiquan more quickly, which is crucial for the preservation and advancement of Chinese martial arts.