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Data Driven Human Movement Assessment
AIMO AB, Sweden.
Softwerk AB, Sweden.
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM). (DSIQ;DISA-IDP;DISA;DISTA)ORCID-id: 0000-0002-7565-3714
2019 (engelsk)Inngår i: Intelligent Decision Technologies 2019: Proceedings of the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT 2019), Volume 2 / [ed] Ireneusz Czarnowski; Robert Howlett; Lakhmi C. Jain, Springer, 2019, s. 317-327Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Quality assessment of human movements has many of applications in diagnosis and therapy of musculoskeletal insufficiencies and high performance sport. We suggest five purely data driven assessment methods for arbitrary human movements using inexpensive 3D sensor technology. We evaluate their accuracy by comparing them against a validated digitalization of a standardized human-expert-based assessment method for deep squats. We suggest the data driven method that shows high agreement with this baseline method, requires little expertise in the human movement and no expertise in the assessment method itself. It allows for an effective and efficient, automatic and quantitative assessment of  arbitrary human movements.

sted, utgiver, år, opplag, sider
Springer, 2019. s. 317-327
Serie
Smart Innovation, Systems and Technologies, ISSN 2190-3018 ; 143
HSV kategori
Forskningsprogram
Datavetenskap, Programvaruteknik
Identifikatorer
URN: urn:nbn:se:lnu:diva-80984DOI: 10.1007/978-981-13-8303-8_29Scopus ID: 2-s2.0-85067249495ISBN: 978-981-13-8302-1 (tryckt)OAI: oai:DiVA.org:lnu-80984DiVA, id: diva2:1294195
Konferanse
11th International KES Conference on Intelligent Decision Technologies, 17–19 June 2019, Malta
Merknad

Invited session on Digital Health, Distance Learning and decision support for eHealth

Tilgjengelig fra: 2019-03-06 Laget: 2019-03-06 Sist oppdatert: 2024-05-06bibliografisk kontrollert

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Totalt: 244 treff
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