Machine learning as a tool to predict impact loading during over-ground distance running. (28th June 2019)
- Record Type:
- Journal Article
- Title:
- Machine learning as a tool to predict impact loading during over-ground distance running. (28th June 2019)
- Main Title:
- Machine learning as a tool to predict impact loading during over-ground distance running
- Authors:
- Derie, Rud
Robberechts, Pieter
Van den Berghe, Pieter
Gerlo, Joeri
De Clercq, Dirk
Segers, Veerle
Davis, Jesse - Abstract:
- Is Part Of:
- Footwear science. Volume 11(2019)Supplement 1
- Journal:
- Footwear science
- Issue:
- Volume 11(2019)Supplement 1
- Issue Display:
- Volume 11, Issue 1 (2019)
- Year:
- 2019
- Volume:
- 11
- Issue:
- 1
- Issue Sort Value:
- 2019-0011-0001-0000
- Page Start:
- S74
- Page End:
- S75
- Publication Date:
- 2019-06-28
- Subjects:
- impact forces -- wearable sensors -- running -- machine learning -- acceleration
Footwear -- Periodicals
Footwear industry -- Periodicals
Footwear -- Health aspects
Footwear
Footwear -- Health aspects
Footwear industry
Periodicals
685.3 - Journal URLs:
- http://rzblx1.uni-regensburg.de/ezeit/warpto.phtml?colors=7&jour_id=120501 ↗
http://www.informaworld.com/journals ↗
http://www.tandfonline.com/toc/tfws20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/19424280.2019.1606085 ↗
- Languages:
- English
- ISSNs:
- 1942-4280
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22362.xml