A machine learning approach to the design of customized shoe lasts

Brian G. Booth; Jan Sijbers; Toon Huysmans

doi:10.1080/19424280.2019.1606055

A machine learning approach to the design of customized shoe lasts

Brian G. Booth^*, Jan Sijbers, Toon Huysmans

^*Corresponding author for this work

Applied Ergonomics and Design

Research output: Contribution to journal › Article › Scientific › peer-review

2 Citations (Scopus)

154 Downloads (Pure)

Original language	English
Pages (from-to)	S17-S19
Number of pages	3
Journal	Footwear Science
Volume	11
Issue number	sup1
DOIs	https://doi.org/10.1080/19424280.2019.1606055
Publication status	Published - 2019
Event	14th biennial Footwear Biomechanics Symposium - Kananaskis, Canada Duration: 28 Jul 2019 → 30 Jul 2019 https://fbs2019.footwearbiomechanics.org

Keywords

3-D scanning
data processing
design
neural networks
shoe last

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1080/19424280.2019.1606055

booth19fsbAccepted author manuscript, 243 KB

Cite this

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title = "A machine learning approach to the design of customized shoe lasts",

keywords = "3-D scanning, data processing, design, neural networks, shoe last",

author = "Booth, {Brian G.} and Jan Sijbers and Toon Huysmans",

year = "2019",

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language = "English",

volume = "11",

pages = "S17--S19",

journal = "Footwear Science",

issn = "1942-4280",

publisher = "Taylor and Francis",

number = "sup1",

note = "14th biennial Footwear Biomechanics Symposium, FBS2019 ; Conference date: 28-07-2019 Through 30-07-2019",

url = "https://fbs2019.footwearbiomechanics.org",

}

TY - JOUR

T1 - A machine learning approach to the design of customized shoe lasts

AU - Booth, Brian G.

AU - Sijbers, Jan

AU - Huysmans, Toon

PY - 2019

Y1 - 2019

KW - 3-D scanning

KW - data processing

KW - design

KW - neural networks

KW - shoe last

UR - http://www.scopus.com/inward/record.url?scp=85069632997&partnerID=8YFLogxK

U2 - 10.1080/19424280.2019.1606055

DO - 10.1080/19424280.2019.1606055

M3 - Article

AN - SCOPUS:85069632997

SN - 1942-4280

VL - 11

SP - S17-S19

JO - Footwear Science

JF - Footwear Science

IS - sup1

T2 - 14th biennial Footwear Biomechanics Symposium

Y2 - 28 July 2019 through 30 July 2019

ER -

A machine learning approach to the design of customized shoe lasts

Keywords

UN SDGs

Access to Document

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