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The Measurement Algorithm of the Center of Pressure based on the Tactile sensor

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dc.contributor.authorBaik, Jaehyeon-
dc.contributor.authorPark, Sejun-
dc.contributor.authorChoi, Yunho-
dc.contributor.authorKim, Kyung-Joong-
dc.contributor.authorLee, Hosu-
dc.date.accessioned2024-12-03T07:30:50Z-
dc.date.available2024-12-03T07:30:50Z-
dc.date.issued2024-10-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/74698-
dc.description.abstractStroke survivors often experience balance disorders, significantly increasing the risk of falls. Accurate COP (Center of Pressure) measurements are essential for evaluating balance and rehabilitation outcomes. To measure COP, force plates are expensive and not user-friendly. Another system for measuring COP is Insole Pressure Sensors (IPS). However, IPS has limitations in accuracy and usability. In this paper, we suggested a cost-effective COP measurement algorithm based on high-resolution Tactile sensors which has electrodes aligned at right angles on each side of a commercial piezoresistive film, and can capture human footprints in great detail. Furthermore, a static experiment was conducted with weight plates to evaluate the COP measurement capability of the system. In future works, we will focus on validating the system's durability, usability, and integration into rehabilitation programs, as well as comparing dynamic COP measurements with force plate data. ©2024 IEEE.-
dc.language영어-
dc.language.isoENG-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleThe Measurement Algorithm of the Center of Pressure based on the Tactile sensor-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/IWIS62722.2024.10706055-
dc.identifier.scopusid2-s2.0-85207841258-
dc.identifier.wosid001344563000009-
dc.identifier.bibliographicCitation2024 International Workshop on Intelligent Systems, IWIS 2024-
dc.citation.title2024 International Workshop on Intelligent Systems, IWIS 2024-
dc.type.docTypeProceedings Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.subject.keywordAuthorBalance-
dc.subject.keywordAuthorCenter of pressure-
dc.subject.keywordAuthorTactile sensor-
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