Automated plantar contact area estimation in a dynamic state using K-Means clustering.

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Bibliographic Details
Title: Automated plantar contact area estimation in a dynamic state using K-Means clustering.
Authors: Askarisiahooie F; Department of Mechanical Engineering, University of Nevada, 4505 S Maryland Pkwy, Las Vegas, NV 89154, United States. Electronic address: askarisi@unlv.nevada.edu., Trabia MB; Department of Mechanical Engineering, University of Nevada, 4505 S Maryland Pkwy, Las Vegas, NV 89154, United States., Dufek JS; Department of Kinesiology and Nutrition Sciences, University of Nevada, 4505 S. Maryland Pkwy, Las Vegas, NV 89154, United States., Mangoubi R; C. S. Draper Laboratory, 555 Technology Square, Cambridge, MA 02139, United States.
Source: Foot (Edinburgh, Scotland) [Foot (Edinb)] 2023 Sep; Vol. 56, pp. 102021. Date of Electronic Publication: 2023 Mar 17.
Publication Type: Journal Article
Journal Info: Publisher: Churchill Livingstone Country of Publication: Scotland NLM ID: 9109564 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-2963 (Electronic) Linking ISSN: 09582592 NLM ISO Abbreviation: Foot (Edinb) Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1532-2963
DOI:10.1016/j.foot.2023.102021