<link rel="stylesheet" href="styles.cf390c6bfbe7555f.css">

學術出版;;Publications

Permanent URI for this communityhdl:11536/1

收集所有交通大學研究人員與學生個人或團體所發表之各項學術著作，涵蓋期刊論文、教師專書、學位論文等項。;;Collections of Publications of NCTU Researchers and Students Like Journal Papers and Thesis.

Browse

🏛️國立陽明交通大學機構典藏

Author: search.filters.author.Lin, Tsung-ChingSubject: search.filters.subject.Pervasive Computing

Search Results

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item type:Item,
    Self-Contained Localization without Auxiliary Signals on Smart Devices
    (2014-01-01)
    Peng, Hsin-Hsien
    ;
    Lo, Chi-Chung
    ;
    Lin, Tsung-Ching
    ;
    Tseng, Yu-Chee
    ;
    資訊工程學系
    Wearable 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.