Context awareness is an important functionality for wearable computers. In particular, the computer should know where the person is in the environment. The paper proposes an image sequence matching technique for the recognition of locations and previously visited places. As in single word recognition in speech recognition, a dynamic programming algorithm is proposed for the calculation of the similarity of different locations. The system runs on a stand alone wearable computer such as Libretto 1100 ff. Using a training sequence, a dictionary of locations is created automatically. These locations are then recognized by the system in real time using a hat-mounted camera.


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    Title :

    Real-time personal positioning system for wearable computers


    Additional title:

    Titel japanisch


    Contributors:
    Aoki, H. (author)


    Publication date :

    2000


    Size :

    9 Seiten, 17 Quellen



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    Japanese





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