Designing Shoe Lasts Through 3D Feet Scans Clusterization Using Anthropometric Parameters of Population Groups

Sie sind hier: Homepage > Suche

Designing Shoe Lasts Through 3D Feet Scans Clusterization Using Anthropometric Parameters of Population Groups

Pavlov, Evgeniy / Selin, Ivan / Drobintsev, Pavel / Voinov, Nikita / Shemyakin, Ilya

This article describes a software tool for optimizing lasts design. The proposed solution is based on a statistical analysis of feet 3D-models. This approach consists of several stages. At the beginning, feet are measured and the dimensions are determined. On the next step, the cross-vertical/cross-horizontal sections are built at a given interval, parameters for each individual section are calculated. The obtained data is statistically processed, one-dimensional and two-dimensional histograms of feet parameters are constructed. Furthermore, feet are grouped by sex, age, and size. For each group overlapping sections of the same type are drawn for a possible visual creation of the average section for a given sample.

Zugriff

Zugriff prüfen

Verfügbarkeit in meiner Bibliothek prüfen

Bestellung bei Subito €

Exportieren, teilen und zitieren

Dokumentinformationen

Titel :

Designing Shoe Lasts Through 3D Feet Scans Clusterization Using Anthropometric Parameters of Population Groups

Weitere Titelangaben:

Lect. Notes Electrical Eng.

Beteiligte:

Wang, Yi (Herausgeber:in) / Martinsen, Kristian (Herausgeber:in) / Yu, Tao (Herausgeber:in) / Wang, Kesheng (Herausgeber:in) / Pavlov, Evgeniy (Autor:in) / Selin, Ivan (Autor:in) / Drobintsev, Pavel (Autor:in) / Voinov, Nikita (Autor:in) / Shemyakin, Ilya (Autor:in)

Kongress:

International Workshop of Advanced Manufacturing and Automation ; 2020 ; Zhanjiang, China October 12, 2020 - October 13, 2020

Erschienen in:

Advanced Manufacturing and Automation X ; Kapitel : 60 ; 479-486

Lecture Notes in Electrical Engineering ; 737

Erscheinungsdatum :

2021-01-23

Format / Umfang :

8 pages

ISBN :

978-981-33-6318-2 , 978-981-33-6317-5

ISSN :