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dc.contributor.authorPeng, Hsin-Hsienen_US
dc.contributor.authorLo, Chi-Chungen_US
dc.contributor.authorLin, Tsung-Chingen_US
dc.contributor.authorTseng, Yu-Cheeen_US
dc.date.accessioned2016-03-28T00:05:43Z-
dc.date.available2016-03-28T00:05:43Z-
dc.date.issued2014-01-01en_US
dc.identifier.isbn978-1-4799-6833-6en_US
dc.identifier.issn2163-2871en_US
dc.identifier.urihttp://dx.doi.org/10.1109/SOCA.2014.21en_US
dc.identifier.urihttp://hdl.handle.net/11536/129791-
dc.description.abstractWearable technologies have attracted considerable attention in mobile computing. This paper proposes a system for localization on wearable devices, such as the smart glasses. The existing approaches to localization, such as AoA, ToA, TDoA, GPS, and RF-based solutions, rely on auxiliary signals at set distances. This limitation constrains the availability of LBS when a mobile device is unable to receive the auxiliary signals. For example, GPS is not available in indoor environments. This paper proposes a system for "self-contained" localization, which refers to the capability of a device to determine its location without having to rely on auxiliary signals, and demonstrates the feasibility of using inertial measurement unit (IMU) and visual sensors in a smart phone to achieve this goal. Based on a concept called inertial sensor-assisted localization (ISAL), IMU sensors are triggered by user motions and visual cues are taken from existing objects. Using augmented reality (AR) techniques, objects captured by the smart phone camera are "tagged" manually or automatically by image processing tools. The angles of these objects relative to the user are then measured by IMU sensors. Based on these angles, we then develop an angulation algorithm to determine the location of the user.en_US
dc.language.isoen_USen_US
dc.subjectAugmented Realityen_US
dc.subjectInertial Sensoren_US
dc.subjectPervasive Computingen_US
dc.subjectLocalizationen_US
dc.subjectLocation-Based Servicesen_US
dc.subjectSensor Networken_US
dc.titleSelf-Contained Localization without Auxiliary Signals on Smart Devicesen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/SOCA.2014.21en_US
dc.identifier.journal2014 IEEE 7TH INTERNATIONAL CONFERENCE ON SERVICE-ORIENTED COMPUTING AND APPLICATIONS (SOCA)en_US
dc.citation.spage154en_US
dc.citation.epage160en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000366591300021en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper