In the era of e-commerce, online clothing sales have grown rapidly, but the differences in clothing size and style details have brought serious problems to consumers’ purchase. At present, as far as online clothing sales are concerned, the most prominent problem is that consumers cannot try on clothes online as they do in the real environment, let alone touch and feel the texture of clothing fabrics. This has seriously affected and restricted the development of online clothing sales. The after-sales service cannot keep up, which is mainly reflected in the consumer return and replacement which is not convenient, and the purchased clothing cannot be received in time and other aspects. 3D garment customization is a hot area of research at present, and there is a wide range of needs to implement a software that can be customized for users. As a depth sensing technology, it strengthens the ability of video sensors for target recognition and brings new advances in sensing and processing deep vision tasks. Aiming at this problem, this paper proposes a modern clothing design scheme based on human 3D somatosensory technology. The designed scheme focuses on the acquisition of human size data and the personalized combination process of clothing components in the process of clothing design. In the scene where the human body changes greatly or the human body moves rapidly, the real-time limb coverage of the clothing fabric is higher, and the posture matching degree is higher. Applicable clothing types and human body pose types are more abundant, with a higher sense of reality. The clothing perception model fused with profile and girth features can match the dimensional changes of key parts of the human body. Through personalized clothing design, the combination of clothing parts is used to provide more choices of clothing styles, colors, and sizes. Using this solution, the time of clothing design can be greatly shortened, and the user’s satisfaction with the clothing design can be improved.