This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Classification of Driver Steering Intention Based on Brain-Computer Interface Using Electroencephalogram
Technical Paper
2007-01-3511
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
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%.
Recommended Content
Authors
Citation
Ikenishi, 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.Also In
References
- Schalk Garwin McFarland Dennis j Thilo Hinterberger, Niels Birbaumer, Honathan R Wolpaw, BCI2000: A General-purpose Brain-Computer Interface (BCI) System IEEE Trans. Biomed. Eng. 51 6 1034 1043 JUNE 2004
- Townsend George Graimann Bernhard scheller Grert Pfurt Continuous EEG Classification During Mot or Imagery - Simulation of an Asynchronous BCI IEEE Trans. Neuro. and Rehab. Eng. 12 2 258 265 JUN 2004
- Lemm Steven Scafer Christin Gabriel Curio BC I Competition 2003-DatasetIII: Probabilistic Modelin g of Sensorimotor μ Rhythms for Classification of I m-aginary Hand Movements IEEE Trans. Biomed.E ng. 51 6 10 1080 JUNE 2004
- Milla'n Jose'del R. Rekens Fe'de'ric Mourino Josep Noninvasive Brain-Acuated Control of a Mobile Robot by Human EEG IEEE Trans. Biomed. Eng. 51 6 1026 1033 JUNE 2004
- Pongsathorn Raksincharoensak Nagai Masao Driver Behavior Recognition for Individual Driver Adaptive Assistance System Proceedings of the 13th World Congress on ITS OCT 2006