http://scholars.ntou.edu.tw/handle/123456789/17278
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Wen, Bor-Jiunn | en_US |
dc.contributor.author | Kao, Chia-Hung | en_US |
dc.contributor.author | Yeh, Che-Chih | en_US |
dc.date.accessioned | 2021-06-10T05:33:53Z | - |
dc.date.available | 2021-06-10T05:33:53Z | - |
dc.date.issued | 2021-01-01 | - |
dc.identifier.issn | 1064-1246 | - |
dc.identifier.uri | http://scholars.ntou.edu.tw/handle/123456789/17278 | - |
dc.description.abstract | Labor force is gradually becoming insufficient owing to the aging population. The quality and safety of workforces are increasingly important, and thus, a set of intelligent wearable devices that assist the transport of loads by laborers, provide auxiliary standing support, and prevent falls were designed in this study. By applying an auxiliary force to the knee joint externally, an intelligent wearable device saves labor and reduces the burden on this joint, thereby protecting it. This study utilizes a Bayesian backpropagation algorithm for intelligent control. The intelligent wearable device provides the most suitable velocity and torsion depending on the initial driving torsion of the user by a Bayesian backpropagation algorithm based on the current angle position, velocity, and torsion load of the device motor, thereby achieving an intelligent control effect of auxiliary standing support. A triaxial accelerometer is utilized to sense a fall and prevent it by a so-called fuzzy-Bayesian backpropagation control (FBC). Eventually, this study successfully designed and manufactured an intelligent wearable device by the FBC method. For a single motor control, two knee auxiliary devices can generate a torsion of 18.6 Nm. For dual motor control, two knee auxiliary devices can generate a torsion of 43.2 Nm. Thus, the laborers can not only perform their work efficiently and safely but also reduce costs and raise the working market competitiveness. | en_US |
dc.language.iso | English | en_US |
dc.publisher | IOS PRESS | en_US |
dc.relation.ispartof | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | en_US |
dc.subject | Intelligent wearable device | en_US |
dc.subject | auxiliary stand | en_US |
dc.subject | falling prevention | en_US |
dc.subject | fuzzy-bayesian backpropagation control | en_US |
dc.title | Intelligent wearable device of auxiliary force using fuzzy-Bayesian backpropagation control | en_US |
dc.type | journal article | en_US |
dc.identifier.doi | 10.3233/JIFS-189620 | - |
dc.identifier.isi | WOS:000640545600020 | - |
dc.relation.journalvolume | 40 | en_US |
dc.relation.journalissue | 4 | en_US |
dc.relation.pages | 7981-7991 | en_US |
item.cerifentitytype | Publications | - |
item.openairetype | journal article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.fulltext | no fulltext | - |
item.grantfulltext | none | - |
item.languageiso639-1 | English | - |
crisitem.author.dept | College of Engineering | - |
crisitem.author.dept | Department of Mechanical and Mechatronic Engineering | - |
crisitem.author.dept | National Taiwan Ocean University,NTOU | - |
crisitem.author.orcid | 0000-0003-0163-6070 | - |
crisitem.author.parentorg | National Taiwan Ocean University,NTOU | - |
crisitem.author.parentorg | College of Engineering | - |
顯示於: | 機械與機電工程學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。