Smart staff design to assist walking of elders
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ryu, H.T. | - |
dc.contributor.author | Lee, C.H. | - |
dc.contributor.author | Yoon, H.S. | - |
dc.contributor.author | Yi, B.-J. | - |
dc.date.accessioned | 2021-06-22T17:25:06Z | - |
dc.date.available | 2021-06-22T17:25:06Z | - |
dc.date.created | 2021-05-11 | - |
dc.date.issued | 2016 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/14671 | - |
dc.description.abstract | This paper proposes a smart staff that can vary its length according to height or physical condition of elder, or slope of the ground. In order to find the optimal length of staff, the supporting force is employed as the measure. Initial experiment conducts measurement of the supporting force by using a force sensor embedded at the distal end of the staff. It is found that people with different height have different optimal length of staff. Using the optimal staff, the second part treats the stable walking of staff-assisted elders. It is found that the staff-assisted walking is characterized by five steps. The concept of center of gravity (COG) is used as the measure of the stable walking and a compact wearable sensor system is employed to measure COG of the four steps. Finally, the adjustable staff and COG-based analysis are applied to stable walking in the slope. To measure the slope of the ground, a flexible sensor was installed at the distal end of the staff. Through experiment, the feasibility of the adjustable staff was verified. ? 2016 IEEE. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | Smart staff design to assist walking of elders | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Yi, B.-J. | - |
dc.identifier.doi | 10.1109/URAI.2016.7625767 | - |
dc.identifier.scopusid | 2-s2.0-85000763598 | - |
dc.identifier.wosid | 000387249900123 | - |
dc.identifier.bibliographicCitation | 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016, pp.515 - 518 | - |
dc.relation.isPartOf | 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016 | - |
dc.citation.title | 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016 | - |
dc.citation.startPage | 515 | - |
dc.citation.endPage | 518 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Robotics | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Robotics | - |
dc.subject.keywordPlus | Artificial intelligence | - |
dc.subject.keywordPlus | Intelligent robots | - |
dc.subject.keywordPlus | Personnel | - |
dc.subject.keywordPlus | Wearable sensors | - |
dc.subject.keywordPlus | Center of gravity | - |
dc.subject.keywordPlus | Different heights | - |
dc.subject.keywordPlus | Elder | - |
dc.subject.keywordPlus | Physical conditions | - |
dc.subject.keywordPlus | Smart staff | - |
dc.subject.keywordPlus | Stable walking | - |
dc.subject.keywordPlus | Supporting forces | - |
dc.subject.keywordPlus | Wearable sensor systems | - |
dc.subject.keywordPlus | Walking aids | - |
dc.subject.keywordAuthor | COG | - |
dc.subject.keywordAuthor | Elder | - |
dc.subject.keywordAuthor | Smart staff | - |
dc.subject.keywordAuthor | Stable walking | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/7625767 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG 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.