Responsive web design for chinese head and facial database

6Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The complex geometry of the human head’s facial surface presents a challenge for designers and engineers seeking to create properly fitting wearable products. The rapid growth of the Chinese consumer market has created a demand for new Chinese fit wearable products. The head and facial information of the Chinese population differs significantly from that of their western counterparts. The industry requires accurate digital data on Chinese head and facial shapes to develop new consumer products, such as virtual reality (VR) goggles or protective safety glasses. The industry has not had adequate time or expertise to create their own digital databases of Chinese human head surfaces. Therefore, they must rely on head and facial scan databases from 3D scan surveys. Collecting 3D head and facial scan data is the first step in creating a database, and the second step is communicating the results through user-friendly interfaces. A major challenge with 3D scan databases is to make them available online with real-time interactive tools and an effective interface. Industry users require demographic details, searchable database statistics and high-resolution 3D scans that can be delivered to a variety of digital devices. This research has developed an interactive and responsive web-based database of Chinese 3D head and facial models and measurements using a 1900-person head scan survey completed in 2017. It can be used as a reference for the design and testing of head and facial equipment and can facilitate the use and spread of anthropometric databases among designers and researchers.

Cite

CITATION STYLE

APA

Wang, H., Yu, Y., Chen, W., Yang, W., & Ball, R. (2018). Responsive web design for chinese head and facial database. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10911 LNCS, pp. 216–231). Springer Verlag. https://doi.org/10.1007/978-3-319-92141-9_17

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free