A survey on big data for human body shape

• Published in: 2016 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI) pp. 145 - 150
• Main Authors: Peng, Hongli, Shang, Xiuqin, Guo, Chao, Xiong, Gang, Nyberg, Timo R., Fan, Dong, Wang, Yiming
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-07-2016
• Subjects: 3D modeling; 3D scanning; big data; Biological system modeling; Computational modeling; Data models; Feature extraction; footwear; human body shape; mass customization; Shape; Solid modeling; Three-dimensional displays
• DOI: 10.1109/SOLI.2016.7551677

In recent years, the rapid development of network and E-commerce technologies, promotes the development of human body big data. New technologies, such as 3D scanning and 3D printing will improve our life quality. The new socialized manufacturing network composed of IoT, advanced logistics network and 3D printers. Everyone is allowed to have chance to participate in any process of the whole production manufacturing lifecycle by some ways, such as crowdsourcing. Boosts the creation, production and consumption patterns of individuation, real-time transformation and E-commerce, possibly will lead to a new industrial revolution. In this revolutionary change wave, public concerns focus on the human body big data used for social manufacturing of wearable products or personalized medical treatment. Although many scholars have done a lot of research work, the collection of the human body shape big data still faces many challenges. There is no complete, separated theoretical research works in progress, it should be summarized and improved systematically. In this paper, we review that big data for human body shape is gaining momentum. The 3D scanning and 3D modeling of human body shape are summarized and concluded. The main applications of these big data are analyzed.