Publications by Zahra Khaliliardali

Decoding Neural Correlates of Cognitive States to Enhance Driving Experience

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Marija Uscumlic, Zahra Khaliliardali, Sareh Saeedi, Lucian Andrei Gheorghe, Huaijian Zhang, Ruslan Aydarkhanov

Modern cars can support their drivers by assessing and autonomously performing different driving maneuvers based on information gathered by in-car sensors. We propose that brain–machine interfaces (BMIs) can provide complementary information that can ease ...

2018

BCI based on Neural Correlates of Anticipatory Behavior during Driving

Zahra Khaliliardali

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 ...

EPFL2016

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

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Zahra Khaliliardali, Lucian Andrei Gheorghe, Huaijian Zhang

2016

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

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Zahra Khaliliardali, Lucian Andrei Gheorghe, Huaijian Zhang, Inaki Asier Iturrate Gil

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 ...

Institute of Physics2015

Detecting Cognitive States for Enhancing Driving Experience

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Zahra Khaliliardali, Lucian Andrei Gheorghe, Huaijian Zhang

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 ...

Graz University of Technology Publishing House2013

Detection of Anticipatory Brain Potentials during Car Driving

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Zahra Khaliliardali, Lucian Andrei Gheorghe

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 ...

Ieee2012