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Classification of Driver Steering Intention Based on Brain-Computer Interface Using Electroencephalogram
ISSN: 0148-7191, e-ISSN: 2688-3627
Published August 05, 2007 by SAE International in United States
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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%.
CitationIkenishi, T., Kamada, T., and Nagai, M., "Classification of Driver Steering Intention Based on Brain-Computer Interface Using Electroencephalogram," SAE Technical Paper 2007-01-3511, 2007, https://doi.org/10.4271/2007-01-3511.
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