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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. Keywords—mask; head-face measurements; facial classification; reverse modeling

Study on Face Classification and Modeling Based on the Fit Problem of Respirator for Chinese Adults