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
Reliably Segmenting Motion Reversals of a Rigid-IMU Cluster Using Screw-Based Invariants
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL. Department of Electronics, Mathematics and Natural Sciences, University of Gävle, Gävle, Sweden.ORCID iD: 0000-0002-5970-2985
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0002-9171-8768
KTH, School of Engineering Sciences (SCI), Mechanics.ORCID iD: 0000-0001-5417-5939
Department of Electronics, Mathematics and Natural Sciences, University of Gävle, Gävle, Sweden.
Show others and affiliations
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Human-robot interaction (HRI) is movingtowards the human-robot synchronization challenge. Inrobots like exoskeletons, this challenge translates to thereliable motion segmentation problem using wearabledevices. Therefore, our paper explores the possibility ofsegmenting the motion reversals of a rigid-IMU clusterusing screw-based invariants. Moreover, we evaluate thereliability of this framework with regard to the sensorplacement, speed and type of motion. Overall, our resultsshow that the screw-based invariants can reliably segmentthe motion reversals of a rigid-IMU cluster.

Place, publisher, year, edition, pages
2018.
National Category
Robotics and automation
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-241104DOI: 10.1109/HUMANOIDS.2018.8624969ISI: 000458689700013Scopus ID: 2-s2.0-85062299962OAI: oai:DiVA.org:kth-241104DiVA, id: diva2:1277367
Conference
IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids) Beijing, China, November 6-9
Note

QC 20190111

Available from: 2019-01-10 Created: 2019-01-10 Last updated: 2025-02-09Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopusConference programme

Authority records

Rakesh, KrishnanCruciani, SilviaGutierrez-Farewik, ElenaSmith, Christian

Search in DiVA

By author/editor
Rakesh, KrishnanCruciani, SilviaGutierrez-Farewik, ElenaSmith, Christian
By organisation
Robotics, Perception and Learning, RPLMechanics
Robotics and automation

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 163 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