Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Ji Su | - |
dc.contributor.author | Lee, Chang Min | - |
dc.contributor.author | Koo, Sang-Mo | - |
dc.contributor.author | Kim, Choong Hyun | - |
dc.date.accessioned | 2024-01-19T17:31:54Z | - |
dc.date.available | 2024-01-19T17:31:54Z | - |
dc.date.created | 2021-09-05 | - |
dc.date.issued | 2020-06 | - |
dc.identifier.issn | 1530-437X | - |
dc.identifier.uri | https://pubs.kist.re.kr/handle/201004/118583 | - |
dc.description.abstract | Traditional gait analysis systems based on 3D motion capture system require large, expensive equipment and specialists to operate the system, presenting time and space constraints. Although various studies have been conducted on developing wearable gait analysis devices, the results were discontinuous, there were limitations in dividing the gait phases, and appropriate responses to changes in physical conditions and walking speed were not demonstrated. To overcome these problems, the present study developed an insole device fitted with force sensing resistors for the measurement of the ground reaction force, and designed a gait analysis technique based on results from a gait experiment conducted on eight healthy male adults. This novel gait analysis algorithm examined the forward and lateral centers of the pressure values generated during gait, ratio of these two values for the division of the gait cycle into eight phases, and identification of the point when the weight support transition between the two feet occurred. The data acquisition system (DAS), comprising the developed insole device and wireless data transceiver, is expected to be applicable for activities of daily living because it can be manufactured as a small, lightweight wearable device, and the proposed gait analysis technique is unaffected by the walking speed and physical conditions of the wearer. | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers | - |
dc.title | Gait Phase Detection Using Force Sensing Resistors | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/JSEN.2020.2975790 | - |
dc.description.journalClass | 1 | - |
dc.identifier.bibliographicCitation | IEEE Sensors Journal, v.20, no.12, pp.6516 - 6523 | - |
dc.citation.title | IEEE Sensors Journal | - |
dc.citation.volume | 20 | - |
dc.citation.number | 12 | - |
dc.citation.startPage | 6516 | - |
dc.citation.endPage | 6523 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.identifier.wosid | 000536772100035 | - |
dc.identifier.scopusid | 2-s2.0-85085180754 | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalResearchArea | Physics | - |
dc.type.docType | Article | - |
dc.subject.keywordPlus | EVENT DETECTION | - |
dc.subject.keywordPlus | VALIDATION | - |
dc.subject.keywordPlus | WALKING | - |
dc.subject.keywordAuthor | gait analysis | - |
dc.subject.keywordAuthor | gait phase detection | - |
dc.subject.keywordAuthor | ground reaction force | - |
dc.subject.keywordAuthor | wearable device | - |
dc.subject.keywordAuthor | Center of pressure | - |
dc.subject.keywordAuthor | force sensing resistors | - |
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