Development of a cane with a haptic interface using IC tags for the visually impaired

Takeshi Ando, Masahiro Yamamoto, Masatoshi Seki, Masakatsu G. Fujie

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Citations (Scopus)

    Abstract

    It is often difficult for visually impaired persons to walk outside to his or her destination. In this paper, we develop a cane with a built-in haptic interface for use by visually impaired persons. The cane is paired with IC tags buried underground (e.g., under street pavement). The haptic interface is controlled with a position and velocity control system that accurately indicates four directions (forward, backwards, right and left). After evaluating the vibration in the haptic interface, we determined the optimal vibration frequencies indicating a specific direction were combinations of 5 (Hz) and 1 (Hz). Furthermore, the optimal repetition of vibrations was determined to be two times. By using these conditions, the four directions were recognized more than 95% of the time. It was also confirmed that the visually impaired person recognized the presented direction even when an IC tag was buried underground. In the future, a mechanism will be developed that will allow visually impaired persons to recognize directions more accurately even if they swing the cane in a controlled manner. In addition, we will integrate a route decision system into the cane equipped with the haptic interface.

    Original languageEnglish
    Title of host publication2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009
    Pages3196-3201
    Number of pages6
    DOIs
    Publication statusPublished - 2009 Dec 11
    Event2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009 - St. Louis, MO
    Duration: 2009 Oct 112009 Oct 15

    Other

    Other2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009
    CitySt. Louis, MO
    Period09/10/1109/10/15

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Vision and Pattern Recognition
    • Human-Computer Interaction
    • Control and Systems Engineering

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