Publications by Zahra Khaliliardali

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Objectives. Recent studies have started to explore the implementation of brain–computer interfaces (BCI) as part of driving assistant systems. The current study presents an EEG-based BCI that decodes error-related brain activity. Such information can be us ...

Anticipation of events such as, changes in traffic light signals and preparing to brake or accelerate are critical behaviors during driving. Smart vehicles, equipped with on-board Brain-Computer Interface (BCI), could decode the driver's intention to perfo ...

Intelligent cars exploit environmental information to support drivers by providing extra information and assisting complex maneouvers. They can also take into account the internal state of the driver by means of decoding cognition-related brain activity. H ...

Recognition of driver’s intention from electroencephalogram (EEG) can be helpful in developing an in-car brain computer interface (BCI) systems for intelligent cars. This could be beneficial in enhancing the quality of interaction between the driver and th ...

Zahra Khaliliardali

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EEG-based decoding of error-related brain activity in a real-world driving task

BCI based on Neural Correlates of Anticipatory Behavior during Driving

Detecting Cognitive States for Enhancing Driving Experience

Single Trial Classification of Neural Correlates of Anticipatory Behavior during Real Car Driving

Detection of Anticipatory Brain Potentials during Car Driving