lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Towards an automated assessment of musculoskeletal insufficiencies
AIMO AB, Sweden.
Softwerk AB, Sweden.
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (DSIQ ; DISA-IDP ; DISA)ORCID iD: 0000-0002-7565-3714
2019 (English)In: Intelligent Decision Technologies 2019: Proceedings of the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT 2019), Volume 1 / [ed] Ireneusz Czarnowski; Robert Howlett; Lakhmi C. Jain, Springer, 2019, p. 251-261Conference paper, Published paper (Refereed)
Abstract [en]

The paper suggests a quantitative assessment of human movements using inexpensive 3D sensor technology and evaluates its accuracy by comparing it with human expert assessments. The two assessment methods show a high agreement. To achieve this, a novel sequence alignment algorithm was developed that works for arbitrary time series.

Place, publisher, year, edition, pages
Springer, 2019. p. 251-261
Series
Smart Innovation Systems and Technologies, ISSN 2190-3018 ; 142
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science; Computer and Information Sciences Computer Science, Computer Science; Computer Science, Software Technology
Identifiers
URN: urn:nbn:se:lnu:diva-80946DOI: 10.1007/978-981-13-8311-3_22ISBN: 978-981-13-8310-6 (print)OAI: oai:DiVA.org:lnu-80946DiVA, id: diva2:1293470
Conference
11th International KES Conference on Intelligent Decision Technologies, 17–19 June 2019, Malta
Note

Invited session on Data Selection in Machine Learning

Available from: 2019-03-04 Created: 2019-03-04 Last updated: 2019-08-28Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Löwe, Welf

Search in DiVA

By author/editor
Löwe, Welf
By organisation
Department of computer science and media technology (CM)
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 42 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf