Study on Face Classification and Modeling Based on the Fit Problem of Respirator for Chinese Adults
- DOI
- 10.2991/ammsa-18.2018.43How to use a DOI?
- Keywords
- mask; head-face measurements; facial classification; reverse modeling
- Abstract
To solve the fit problem between the face and the mask in the market, 7 facial indexes related facial masks of 194 adults were measured in this paper. Factor analysis was undertaken and two main factors were chosen. Through counting the relative index, 3 representative body indexes were selected as clustering variables. K-means cluster was applied to classify the figure type and the optimal number of clusters was determined by Mix-F statistics. Combined with reverse engineering design software, the model was established by using the object of the clustering center value of each index in the class 5 standard face. This study provides practical guidance for the forward design and production of the follow-up mask. The multi-surface modeling of human face has broadened the new thinking to deal with the contradiction between clothing and body.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiaotong Zhou AU - Xiaoxia Song PY - 2018/05 DA - 2018/05 TI - Study on Face Classification and Modeling Based on the Fit Problem of Respirator for Chinese Adults BT - Proceedings of the 2018 2nd International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2018) PB - Atlantis Press SP - 211 EP - 214 SN - 1951-6851 UR - https://doi.org/10.2991/ammsa-18.2018.43 DO - 10.2991/ammsa-18.2018.43 ID - Zhou2018/05 ER -