kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Comparison of Accuracy of Inertial Measurement Units, Goniometer and Optical Tracking System for Wrist Velocity Assessment
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Ergonomics. Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID iD: 0000-0001-7285-824x
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Ergonomics.
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Ergonomics. Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID iD: 0000-0001-5777-4232
2021 (English)In: Lecture Notes in Networks and Systems, Springer Nature , 2021, p. 868-873Conference paper, Published paper (Refereed)
Abstract [en]

Wrist angular velocity assessment is important for assessing the risks in hand-intensive work. This study compared the measurement accuracy of an inertial measurement unit (IMU)-smartphone system, an electronic goniometer and an optical tracking system (OTS) for measuring wrist flexion velocity. Six participants performed three sets of standard hand/wrist movements and three simulated work tasks. The results showed the IMUs had adequate accuracy comparing to the OTS during standard movements of low to medium pace. The accuracy of the IMUs compared to the OTS was lower during fast pace movements and simulated work tasks. Still, the IMUs had in general small differences compared to the goniometer in flexion/extension and simulated work tasks. Therefore, the IMU system may be used by researchers and practitioners for assessing wrist flexion velocity in hand-intensive work. Future studies need to explore algorithms to improve the IMU-smartphone system and reduce errors.

Place, publisher, year, edition, pages
Springer Nature , 2021. p. 868-873
Keywords [en]
Goniometer, Hand-Intensive work, Inertial measurement unit, Smartphone application, Wrist movements
National Category
Occupational Health and Environmental Health
Identifiers
URN: urn:nbn:se:kth:diva-310729DOI: 10.1007/978-3-030-74611-7_118Scopus ID: 2-s2.0-85111157479OAI: oai:DiVA.org:kth-310729DiVA, id: diva2:1651253
Conference
Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021), 13- 18 June 2021, virtual, online.
Note

Part of proceedings ISBN: 978-3-030-74610-0

QC 20220411

Available from: 2022-04-11 Created: 2022-04-11 Last updated: 2022-10-25Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Yang, LiyunManivasagam, KarnicaForsman, Mikael

Search in DiVA

By author/editor
Yang, LiyunManivasagam, KarnicaForsman, Mikael
By organisation
Ergonomics
Occupational Health and Environmental Health

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 28 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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