A survey on big data for human body shape

Hongli Peng, Xiuqin Shang, Chao Guo, Gang Xiong, Timo R. Nyberg, Dong Fan*, Yiming Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2016
PublisherIEEE
Pages145-150
Number of pages6
ISBN (Electronic)9781509029273
DOIs
Publication statusPublished - 24 Aug 2016
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Service Operations and Logistics, and Informatics - Beijing, China
Duration: 10 Jul 201612 Jul 2016

Conference

ConferenceInternational Conference on Service Operations and Logistics, and Informatics
Abbreviated titleSOLI
CountryChina
CityBeijing
Period10/07/201612/07/2016

Keywords

  • 3D modeling
  • 3D scanning
  • big data
  • clothing
  • footwear
  • human body shape
  • mass customization

Fingerprint Dive into the research topics of 'A survey on big data for human body shape'. Together they form a unique fingerprint.

Cite this