Improving Kinematic Accuracy of Soft Wearable Data Gloves by Optimizing Sensor Locations

Cited 9 time in webofscience Cited 0 time in scopus
  • Hit : 351
  • Download : 403
DC FieldValueLanguage
dc.contributor.authorKim, Dong Hyunko
dc.contributor.authorLee, Sang Wookko
dc.contributor.authorPark, Hyung-Soonko
dc.date.accessioned2016-09-06T07:18:16Z-
dc.date.available2016-09-06T07:18:16Z-
dc.date.created2016-07-26-
dc.date.created2016-07-26-
dc.date.issued2016-06-
dc.identifier.citationSENSORS, v.16, no.6-
dc.identifier.issn1424-8220-
dc.identifier.urihttp://hdl.handle.net/10203/212276-
dc.description.abstractBending sensors enable compact, wearable designs when used for measuring hand configurations in data gloves. While existing data gloves can accurately measure angular displacement of the finger and distal thumb joints, accurate measurement of thumb carpometacarpal (CMC) joint movements remains challenging due to crosstalk between the multi-sensor outputs required to measure the degrees of freedom (DOF). To properly measure CMC-joint configurations, sensor locations that minimize sensor crosstalk must be identified. This paper presents a novel approach to identifying optimal sensor locations. Three-dimensional hand surface data from ten subjects was collected in multiple thumb postures with varied CMC-joint flexion and abduction angles. For each posture, scanned CMC-joint contours were used to estimate CMC-joint flexion and abduction angles by varying the positions and orientations of two bending sensors. Optimal sensor locations were estimated by the least squares method, which minimized the difference between the true CMC-joint angles and the joint angle estimates. Finally, the resultant optimal sensor locations were experimentally validated. Placing sensors at the optimal locations, CMC-joint angle measurement accuracies improved (flexion, 2.8 degrees +/- 1.9 degrees; abduction, 1.9 degrees +/- 1.2 degrees). The proposed method for improving the accuracy of the sensing system can be extended to other types of soft wearable measurement devices-
dc.languageEnglish-
dc.publisherMDPI AG-
dc.titleImproving Kinematic Accuracy of Soft Wearable Data Gloves by Optimizing Sensor Locations-
dc.typeArticle-
dc.identifier.wosid000378756500014-
dc.identifier.scopusid2-s2.0-84969915355-
dc.type.rimsART-
dc.citation.volume16-
dc.citation.issue6-
dc.citation.publicationnameSENSORS-
dc.identifier.doi10.3390/s16060766-
dc.contributor.localauthorPark, Hyung-Soon-
dc.contributor.nonIdAuthorLee, Sang Wook-
dc.description.isOpenAccessY-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorwearable hand device-
dc.subject.keywordAuthorsensor locations-
dc.subject.keywordAuthorkinematic accuracy-
dc.subject.keywordAuthor3D measurement-
dc.subject.keywordAuthorthumb-joint angle estimation-
dc.subject.keywordPlusTHUMB CARPOMETACARPAL JOINT-
dc.subject.keywordPlusHAND-
dc.subject.keywordPlusPARAMETERS-
dc.subject.keywordPlusMOTION-
Appears in Collection
ME-Journal Papers(저널논문)
Files in This Item
96168.pdf(5.1 MB)Download
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 9 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0