Comprehensive deformed map generation for wristwatch-type wearable devices based on landmark-based partitioning

Keisuke Kono, Tomoyuki Nitta, Kazuaki Ishikawa, Masao Yanagisawa, Nozomu Togawa

    研究成果: Conference contribution

    2 引用 (Scopus)

    抜粋

    Recently, wristwatch-type wearable devices are developed and geographic information services have become widely available on them. In this paper, we propose a comprehensive deformed map generation algorithm for wristwatch-type wearable devices. Our algorithm first normalizes a pedestrian route to 0°, 45°, or 90° so that the pedestrian can see the route not tilting the wristwatch-type wearable device on his/her wrist. Second, our algorithm partitions the normalized map so that several landmarks are overlapped in the partitioned sub-maps. Hence the sub-maps can be largely displayed on wristwatch-type wearable devices and the pedestrian can recognize his/her location even when the sub-maps displayed are changed. Experiments demonstrate the effectiveness of our deformed map generation algorithm on wristwatch-type wearable devices.

    元の言語English
    ホスト出版物のタイトル2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016
    出版者Institute of Electrical and Electronics Engineers Inc.
    ISBN(電子版)9781509023332
    DOI
    出版物ステータスPublished - 2016 12 27
    イベント5th IEEE Global Conference on Consumer Electronics, GCCE 2016 - Kyoto, Japan
    継続期間: 2016 10 112016 10 14

    Other

    Other5th IEEE Global Conference on Consumer Electronics, GCCE 2016
    Japan
    Kyoto
    期間16/10/1116/10/14

    ASJC Scopus subject areas

    • Signal Processing
    • Electrical and Electronic Engineering
    • Computer Science Applications
    • Hardware and Architecture
    • Instrumentation

    フィンガープリント Comprehensive deformed map generation for wristwatch-type wearable devices based on landmark-based partitioning' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Kono, K., Nitta, T., Ishikawa, K., Yanagisawa, M., & Togawa, N. (2016). Comprehensive deformed map generation for wristwatch-type wearable devices based on landmark-based partitioning. : 2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016 [7800432] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE.2016.7800432