Fall-Detection Algorithm Using Plantar Pressure and Acceleration Data
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Chang Min | - |
dc.contributor.author | Park, Jisu | - |
dc.contributor.author | Park, Shinsuk | - |
dc.contributor.author | Kim, Choong Hyun | - |
dc.date.accessioned | 2021-08-31T04:42:13Z | - |
dc.date.available | 2021-08-31T04:42:13Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2020-04 | - |
dc.identifier.issn | 2234-7593 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/56731 | - |
dc.description.abstract | In this study, experiments are conducted for four types of falls and eight types of activities of daily living with an integrated sensor system that uses both an inertial measurement unit and a plantar-pressure measurement unit and the fall-detection performance is evaluated by analyzing the acquired data with the threshold method and the decision-tree method. In general, the decision-tree method shows better performance than the threshold method, and the fall-detection accuracy increases when the acceleration and center-of-pressure (COP) data are used together, rather than when each data point is used separately. The results show that the fall-detection algorithm that applies both acceleration and COP data to the decision-tree method has a fall-detection accuracy of 95% or higher and a sufficient lead time of 317 ms on average. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | KOREAN SOC PRECISION ENG | - |
dc.subject | PRE-IMPACT DETECTION | - |
dc.subject | SENSOR | - |
dc.subject | SYSTEM | - |
dc.title | Fall-Detection Algorithm Using Plantar Pressure and Acceleration Data | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Park, Shinsuk | - |
dc.identifier.doi | 10.1007/s12541-019-00268-w | - |
dc.identifier.scopusid | 2-s2.0-85076618996 | - |
dc.identifier.wosid | 000522450300014 | - |
dc.identifier.bibliographicCitation | INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, v.21, no.4, pp.725 - 737 | - |
dc.relation.isPartOf | INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING | - |
dc.citation.title | INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING | - |
dc.citation.volume | 21 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 725 | - |
dc.citation.endPage | 737 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART002574418 | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Manufacturing | - |
dc.relation.journalWebOfScienceCategory | Engineering, Mechanical | - |
dc.subject.keywordPlus | PRE-IMPACT DETECTION | - |
dc.subject.keywordPlus | SENSOR | - |
dc.subject.keywordPlus | SYSTEM | - |
dc.subject.keywordAuthor | Activities of daily living | - |
dc.subject.keywordAuthor | Center of pressure | - |
dc.subject.keywordAuthor | Decision tree | - |
dc.subject.keywordAuthor | Fall detection | - |
dc.subject.keywordAuthor | Force sensing resistor | - |
dc.subject.keywordAuthor | Inertial measurement unit | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.