政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/68978

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 113303/144284 (79%)
Visitors : 50834245 Online Users : 544

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大機構典藏 > 社會科學學院 > 社會工作研究所 > 期刊論文 > Item 140.119/68978

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/68978

Title:	Indoor Wayfinding Based on Wireless Sensor Networks for Individuals with Multiple Special Needs
Authors:	王增勇 Wang, Frank Tsen-Yung
Contributors:	社工所
Keywords:	accessible computing;pedestrian navigation;rehabilitation engineering;user interface;WSN
Date:	2010.05
Issue Date:	2014-08-20 15:54:21 (UTC+8)
Abstract:	Wayfinding systems are an assistive technology targeting disabled patients who are mobile and need to travel in both indoor and outdoor environments, thus increasing workplace and life independence. Such a personal guidance system can improve the quality of life and minimize risks such as wandering behavior, which has been previously observed in patients with acquired brain injury. The proposed system called AssistMote is a full-ledged navigation solution using wireless sensor networks (WSN) for ambient condition detection, routing engines for navigation, and PDAs as the user interface, to assist with indoor wayfinding for individuals with multiple special needs. Ambient intelligence such as inadequate illumination and wet floors can be critical to wayfinding for the targeted population. The routing algorithm is based on the innovative use of Dijkstra`s shortest path with the special requirements of navigation applications taken into account. The study reports the prototype design, experiments, and detailed performance evaluation based on computer simulations and field trials of eight human subjects with multiple disabilities who participated in pedestrian navigation in a five-floor building with 91 sensor nodes. AssistMote achieved 95% success compared with 37.5% in a controlled study that used verbal instructions and paper maps.
Relation:	Cybernetics and Systems, Vol.4, No.41, pp.317-333.
Data Type:	article
Appears in Collections:	[社會工作研究所] 期刊論文

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML2	1519	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...