User Identification from Gait Analysis Using Multi-Modal Sensors in Smart Insole
DC Field | Value | Language |
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dc.contributor.author | Choi, S.-I. | - |
dc.contributor.author | Moon, J. | - |
dc.contributor.author | Park, H.-C. | - |
dc.contributor.author | Choi, S.T. | - |
dc.date.available | 2020-04-23T08:21:51Z | - |
dc.date.issued | 2019-09 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/38997 | - |
dc.description.abstract | Recent studies indicate that individuals can be identified by their gait pattern. A number of sensors including vision, acceleration, and pressure have been used to capture humans' gait patterns, and a number of methods have been developed to recognize individuals from their gait pattern data. This study proposes a novel method of identifying individuals using null-space linear discriminant analysis on humans' gait pattern data. The gait pattern data consists of time series pressure and acceleration data measured from multi-modal sensors in a smart insole used while walking. We compare the identification accuracies from three sensing modalities, which are acceleration, pressure, and both in combination. Experimental results show that the proposed multi-modal features identify 14 participants with high accuracy over 95% from their gait pattern data of walking. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | NLM (Medline) | - |
dc.title | User Identification from Gait Analysis Using Multi-Modal Sensors in Smart Insole | - |
dc.type | Article | - |
dc.identifier.doi | 10.3390/s19173785 | - |
dc.identifier.bibliographicCitation | Sensors (Basel, Switzerland), v.19, no.17 | - |
dc.description.isOpenAccess | Y | - |
dc.identifier.wosid | 000486861900155 | - |
dc.identifier.scopusid | 2-s2.0-85071775609 | - |
dc.citation.number | 17 | - |
dc.citation.title | Sensors (Basel, Switzerland) | - |
dc.citation.volume | 19 | - |
dc.type.docType | Article | - |
dc.publisher.location | 스위스 | - |
dc.subject.keywordAuthor | gait analysis | - |
dc.subject.keywordAuthor | linear discriminant analysis | - |
dc.subject.keywordAuthor | multi-modal feature | - |
dc.subject.keywordAuthor | multi-modal sensors | - |
dc.subject.keywordAuthor | smart insole | - |
dc.subject.keywordAuthor | user identification | - |
dc.subject.keywordAuthor | wearable sensor | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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