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dc.contributor.authorLapyko, Anna N.en_US
dc.contributor.authorTung, Li-Pingen_US
dc.contributor.authorLin, Bao-Shuh Paulen_US
dc.date.accessioned2015-07-21T08:31:13Z-
dc.date.available2015-07-21T08:31:13Z-
dc.date.issued2014-01-01en_US
dc.identifier.isbn978-1-4799-3060-9en_US
dc.identifier.issn2163-4033en_US
dc.identifier.urihttp://hdl.handle.net/11536/124929-
dc.description.abstractSafe navigation in non-familiar outdoor environments is a challenging activity for the blind and visually impaired (BVI) people. This work introduces a cloud-based outdoor assistive navigation system (COANS) for BVI people. The main goal of the system is to provide easy street navigation and help to make outdoor walk in non-familiar environment less stressful. Hardware part from the user-side includes an android-based mobile phone and an external low-cost L1 GPS receiver to improve position accuracy. Applying the technique known as Real Time Kinematic (RTK) ameliorates the issue of the user position estimation. Interaction between the application and the user is based on voice commands (user-side) and voice notifications (system-side), together with the user-friendly "shaking" and "swiping" commands. The test scenarios for the system include traffic light status detection, zebra crossing path detection, and a bench discovering within a short distance from the user. In order to evaluate overall system performance, two groups of tests have been conducted. One is for GPS location accuracy from RTKLib and the other is for server-client communication time. It shows the usability of the proposed COANS system.en_US
dc.language.isoen_USen_US
dc.subjectassistive technologyen_US
dc.subjectclouden_US
dc.subjectmobileen_US
dc.subjectnavigationen_US
dc.subjectvisually impaireden_US
dc.subjectRTKen_US
dc.titleA Cloud-based Outdoor Assistive Navigation System for the Blind and Visually Impaireden_US
dc.typeProceedings Paperen_US
dc.identifier.journal2014 7TH IFIP WIRELESS AND MOBILE NETWORKING CONFERENCE (WMNC)en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000345864400037en_US
dc.citation.woscount0en_US
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