scholarly journals Single trial recognition of anticipatory slow cortical potentials: The role of spatio-spectral filtering

Author(s):  
Gangadhar Garipelli ◽  
Ricardo Chavarriaga ◽  
Jose del R. Millan
2019 ◽  
Author(s):  
Zahra Khaliliardali ◽  
Ricardo Chavarriaga ◽  
Huaijian Zhang ◽  
Lucian A. Gheorghe ◽  
Serafeim Perdikis ◽  
...  

AbstractMovements are preceded by certain brain states that can be captured through various neuroimaging techniques. Brain-Computer Interfaces can be designed to detect the movement intention brain state during driving, which could be beneficial in improving the interaction between a smart car and its driver, by providing assistance in-line with the driver’s intention. In this paper, we present an Electroencephalogram based decoder of such brain states preceding movements performed in response to traffic lights in two experiments: in a car simulator and a real car. The results of both experiments (N=10: car simulator, N=8: real car) confirm the presence of anticipatory Slow Cortical Potentials in response to traffic lights for accelerating and braking actions. Single-trial classification performance exhibits an Area Under the Curve (AUC) of 0.71±0.14 for accelerating and 0.75±0.13 for braking. The AUC for the real car experiment are 0.63±0.07 and 0.64±0.13 for accelerating and braking respectively. Moreover, we evaluated the performance of real-time decoding of the intention to brake during online experiments only in the car simulator, yielding an average accuracy of 0.64±0.1. This paper confirm the existence of the anticipatory slow cortical potentials and the feasibility of single-trial detection these potentials in driving scenarios.


NeuroImage ◽  
2000 ◽  
Vol 11 (5) ◽  
pp. S32 ◽  
Author(s):  
Ralf Veit ◽  
Ute Strehl ◽  
Thilo Hinterberger ◽  
Michael Erb ◽  
Wolfgang Grodd ◽  
...  

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