This paper describes the classification algorithm of the driving steering intention based on brain-computer interface (BCI) using electroencephalogram (EEG). The classification algorithm of the driving steering intention was examined and developed. Experiments were conducted with 3 able-bodied subjects using driving simulator (DS). The drivers were instructed to operate the vehicle according to the series of three kinds of instructions (right steer, left steer, and straight running). Those instructions were given to the subject with random order, after the operation trigger had been signaled. The off-line analytical result shows that the driver's steering intention can be classified at the averaged probability of about 80%.


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    Titel :

    Classification of Driver Steering Intention Based on Brain-Computer Interface Using Electroencephalogram


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:

    Kongress:

    Asia Pacific Automotive Engineering Conference ; 2007



    Erscheinungsdatum :

    05.08.2007




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch





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