loading
Papers

Research.Publish.Connect.

Paper

Authors: T. Pang 1 ; K. Soh 1 ; S. Ryan 2 and P. Dabnichki 1

Affiliations: 1 School of Engineering, RMIT University, Bundoora Campus East, Bundoora VIC 3083 and Australia ; 2 Glenrowan Enterprises T/A GoodFit Feet Sizing, 9 De Laeter Way, Technology Park, Bantley, WA 6073 and Australia

ISBN: 978-989-758-383-4

Keyword(s): Shoe Last, Customization, Cycling, Automated, Algorithm, CAD.

Related Ontology Subjects/Areas/Topics: Computer Systems in Sports ; Simulation and Mathematical Modeling ; Sport Science Research and Technology

Abstract: Footwear plays an essential role in human daily life as properly fitting and comfortable footwear will significantly improve human lives and productivity. Footwear customisation techniques aim to manufacture footwear that fits an individual’s foot geometric. Footwear that exactly fits a person’s foot geometric will provide more support and reduce impact when walking or when doing other activities. A customised shoe last is an important tool used by shoemakers in manufacturing customised shoes. Currently, most customised shoe lasts are made from the moulds of clients’ feet and all the measurements are done manually, which is a tedious and time-consuming process. This project aims to develop a novel MATLAB (2017) algorithm that will shorten the shoe last customization process and do so with higher accuracy. This MATLAB algorithm can reconstruct the foot model to smooth the surface texture and rearrange the three-dimensional (3D) model vertices for easier dimension calculations. It can a lso locate makers on first and fifth metatarsophalangeal joint automatically for more accurate shoe last design. The shoe last developed using the novel algorithm was used to create its equivalent negative moulds for the manufacturing of carbon fibre cycling shoes. The negative moulds were 3D printed and used to produce a prototype of cycling shoes. Future research needs to consider developing an automated algorithm to create negative moulds to speed up the cycling shoe manufacturing process. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.233.226.151

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Pang, T.; Soh, K.; Ryan, S. and Dabnichki, P. (2019). Automated Shoe Last Customization using MATLAB Algorithm.In Proceedings of the 7th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS, ISBN 978-989-758-383-4, pages 117-122. DOI: 10.5220/0007949301170122

@conference{icsports19,
author={T. Y. Pang. and K. H. Soh. and S. Ryan. and P. Dabnichki.},
title={Automated Shoe Last Customization using MATLAB Algorithm},
booktitle={Proceedings of the 7th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,},
year={2019},
pages={117-122},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007949301170122},
isbn={978-989-758-383-4},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS,
TI - Automated Shoe Last Customization using MATLAB Algorithm
SN - 978-989-758-383-4
AU - Pang, T.
AU - Soh, K.
AU - Ryan, S.
AU - Dabnichki, P.
PY - 2019
SP - 117
EP - 122
DO - 10.5220/0007949301170122

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.