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    A Kinect Based Indoor Navigation System for the Blind

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    NAVIGATE Final Thesis.pdf (9.593Mb)
    No. of downloads: 2061

    Дата
    2015
    Автор
    Belov, Alexander
    Fu, Guodong
    Gururam, Janani
    Hackenburg, Francis
    Osman, Yael
    Purtilo, John
    Rossomando, Nicholas
    Sawyer, Ryan
    Shih, Ryan
    True, Emily
    Varghese, Agnes
    Zhang, Yolanda
    Advisor
    Chellappa, Rama
    DRUM DOI
    doi:10.13016/M2PS62
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    Аннотации
    Team NAVIGATE aims to create a robust, portable navigational aid for the blind. Our prototype uses depth data from the Microsoft Kinect to perform realtime obstacle avoidance in unfamiliar indoor environments. The device augments the white cane by performing two signi cant functions: detecting overhanging objects and identifying stairs. Based on interviews with blind individuals, we found a combined audio and haptic feedback system best for communicating environmental information. Our prototype uses vibration motors to indicate the presence of an obstacle and an auditory command to alert the user to stairs ahead. Through multiple trials with sighted and blind participants, the device was successful in detecting overhanging objects and approaching stairs. The device increased user competency and adaptability across all trials.
    URI
    http://hdl.handle.net/1903/16764
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