Detailed Information

Cited 0 time in webofscience Cited 3 time in scopus
Metadata Downloads

A Finger Grip Force Sensor with an Open-Pad Structure for Glove-Type Assistive Devices

Full metadata record
DC FieldValueLanguage
dc.contributor.authorPark, Junghoon-
dc.contributor.authorHeo, Pilwon-
dc.contributor.authorKim, Jung-
dc.contributor.authorNa, Youngjin-
dc.date.available2021-02-22T05:35:51Z-
dc.date.issued2020-01-
dc.identifier.issn1424-8220-
dc.identifier.issn1424-3210-
dc.identifier.urihttps://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/2557-
dc.description.abstractThis paper presents a fingertip grip force sensor based on custom capacitive sensors for glove-type assistive devices with an open-pad structure. The design of the sensor allows using human tactile sensations during grasping and manipulating an object. The proposed sensor can be attached on both sides of the fingertip and measure the force caused by the expansion of the fingertip tissue when a grasping force is applied to the fingertip. The number of measurable degrees of freedom (DoFs) are the two DoFs (flexion and adduction) for the thumb and one DoF (flexion) for the index and middle fingers. The proposed sensor allows the combination with a glove-type assistive device to measure the fingertip force. Calibration was performed for each finger joint angle because the variations in the expansion of the fingertip tissue depend on the joint angles. The root mean square error (RMSE) for fingertip force estimation ranged from 3.75% to 9.71% after calibration, regardless of the finger joint angles or finger posture.-
dc.language영어-
dc.language.isoENG-
dc.publisherMDPI-
dc.titleA Finger Grip Force Sensor with an Open-Pad Structure for Glove-Type Assistive Devices-
dc.typeArticle-
dc.publisher.location스위스-
dc.identifier.doi10.3390/s20010004-
dc.identifier.scopusid2-s2.0-85076999838-
dc.identifier.wosid000510493100004-
dc.identifier.bibliographicCitationSENSORS, v.20, no.1-
dc.citation.titleSENSORS-
dc.citation.volume20-
dc.citation.number1-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaInstruments & Instrumentation-
dc.relation.journalWebOfScienceCategoryChemistry, Analytical-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryInstruments & Instrumentation-
dc.subject.keywordPlusHAND EXOSKELETON-
dc.subject.keywordPlusDIGITAL ANESTHESIA-
dc.subject.keywordPlusSTRENGTH-
dc.subject.keywordPlusDESIGN-
dc.subject.keywordPlusSTROKE-
dc.subject.keywordPlusPINCH-
dc.subject.keywordAuthorfingertip force-
dc.subject.keywordAuthoropen-pad structure-
dc.subject.keywordAuthorcapacitive sensor-
dc.identifier.urlhttps://www.mdpi.com/1424-8220/20/1/4-
Files in This Item
Go to Link
Appears in
Collections
공과대학 > 기계시스템학부 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Na, Young Jin photo

Na, Young Jin
공과대학 (기계시스템학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE