DOAJ Open Access 2024

Development of a textile sheet mask design for facial care based on a 3D face model of an average woman

Andreja Rudolf Sonja Šterman Andrej Cupar

Abstrak

Facial cosmetics moisturise the skin and remove sebum and impurities to maintain healthy skin. Face masks are available on the market in various forms such as gel, emulsion, sheet and paste. The textile sheet mask for facial care is used by all women, regardless of age. This study deals with 3D scanning of women’s faces to create an average female 3D face model for the development of a textile sheet mask design for facial care. Screened Poisson surface reconstruction was used to create an average female 3D face model whose dimensions correspond to average dimensions of scanned female faces. A reliable average 3D face model of the women studied was therefore used to develop a textile sheet mask for facial care. A comparison of average facial measurements with the measurements of randomly selected masks on the market revealed differences. Therefore, a design for a textile sheet mask was developed based on average facial measurements and the average 3D face model of a woman and by using virtual prototyping. The use of software for prototyping and simulating the appearance of clothing has also proven to be effective in the development of a textile product such as a textile face mask. The developed pattern design of the textile sheet mask with optimal dimensions and shape adapts to the contours of an average woman’s face. This fulfils all the requirements for wearing comfort of the textile sheet mask around the eyes, nose and lips during facial care and enables efficient transfer of the serum from the textile sheet mask to the skin.

Penulis (3)

A

Andreja Rudolf

S

Sonja Šterman

A

Andrej Cupar

Format Sitasi

Rudolf, A., Šterman, S., Cupar, A. (2024). Development of a textile sheet mask design for facial care based on a 3D face model of an average woman. https://doi.org/10.1177/15589250241254443

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Informasi Jurnal
Tahun Terbit
2024
Sumber Database
DOAJ
DOI
10.1177/15589250241254443
Akses
Open Access ✓