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Jose del R. Millan

The University of Texas at Austin

CNBI Lab

Clinical Neuroprosthetics and Brain Interaction LabCNBI Lab

 

 
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    • Closed-Loop Brain Stimulation as a Potential Intervention for Cognitive Decline
    • Sinergia
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CNBI-NISSAN

Brain-Machine Interface for drivers

Nissan is undertaking this pioneering work in collaboration with the École Polytechnique Fédérale de Lausanne in Switzerland (EPFL). Far reaching research on Brain Machine Interface (BMI) systems by scientists at EPFL already allows disabled users to manoeuvre their wheelchairs by thought transference alone. The next stage is to adapt the BMI processes to the car – and driver – of the future.

Professor José del R. Millán, leading the project, said: “The idea is to blend driver and vehicle intelligence together in such a way that eliminates conflicts between them, leading to a safer motoring environment.”

Although thought control – via brain-machine interface – is well established in the scientific world, the levels of concentration needed are exceptionally high. The Nissan/EPFL collaboration is developing systems that go to the next stage using
statistical analysis to predict a driver’s intentions and to evaluate a driver’s cognitive state relevant to the driving environment.

Using brain activity measurement, eye movement patterns and by scanning the environment around the car in conjunction with the car’s own sensors, it should be possible to predict what the driver plans to do – be it a turn, an overtake, a lane
change – and then assist with the manoeuvre in complete safety, thus improving the driving experience.

Media coverage:

EPFL Press Release A smart car that can read brain signals (March 26, 2018

CarBuzz Future Nissan Cars Will Be Able To Read Your Mind (Jan 4, 2018)

Nissan Global Rooms Press Release Nissan Brain-to-Vehicle technology redefines future of driving. Latest breakthrough in Nissan Intelligent Mobility promises cars that learn from driver (January 3, 2018)

Fox News Nissan Developing Mind-Reading Cars (October 10, 2016)

Press Release (09/2011)

MITTech Review Nissan’s Cars Will Read Your Mind 09/(2011)

Autoblog Greece Nissan working on a car that reads your mind (9/2011)

FastCompany Nissan’s Future Mind-Reading Cars Won’t Steer You Wrong (9/2011)

La Repubblica L’auto si guida col pensiero Nissan accetta la sfida (9/2011)

People

JOURNAL ARTICLES

Aydarkhanov R., Ušćumlić M., Chavarriaga R., Gheorghe L.A., Millán J.d.R. (2020). Spatial covariance improves BCI performance for late ERPs components with high temporal variability. Neural Engineering, 17:036030.
Pdf version

R. Chavarriaga; M. Uscumlic; H. Zhang; Z. Khaliliardali; R. Aydarkhanov et al. : Decoding Neural Correlates of Cognitive States to Enhance Driving Experience; IEEE Transactions on Emerging Topics in Computational Intelligence. 2018-07-20. DOI : 10.1109/TETCI.2018.2848289.

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H. Zhang; R. Chavarriaga; Z. Khaliliardali; L. A. Gheorghe; I. Iturrate et al. : EEG-based decoding of error-related brain activity in a real-world driving task; Journal of Neural Engineering. 2015. DOI : 10.1088/1741-2560/12/6/066028.

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Z. Khaliliardali; R. Chavarriaga; L. A. Gheorghe; J. d. R. Millán : Action prediction based on anticipatory brain potentials during simulated driving; Journal of Neural Engineering. 2015. DOI : 10.1088/1741-2560/12/6/066006.

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H. Zhang; R. Chavarriaga; J. d. R. Millán : Discriminant Brain Connectivity Patterns of Performance Monitoring at Average and Single-Trial Levels; NeuroImage. 2015. DOI : 10.1016/j.neuroimage.2015.07.012.

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CONFERENCE PAPERS

Z. Khaliliardali; R. Chavarriaga; H. Zhang; L. A. Gheorghe; J. d. R. Millán : Single Trial Classification of Neural Correlates of Anticipatory Behavior during Real Car Driving. 2016. 6th International Brain-Computer Interface Meeting, Asilomar, California, USA, May 30-June 3, 2016. DOI : 10.3217/978-3-85125-467-9-75.

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H. Zhang; R. Chavarriaga; L. A. Gheorghe; J. d. R. Millán : Brain Correlates of Lane Changing Reaction Time in Simulated Driving. 2015. 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC2015), Hong-Kong, October 9-12, 2015.

Detailed record – Full text

H. Renold; R. Chavarriaga; L. A. Gheorghe; J. d. R. Millán : EEG correlates of active visual search during simulated driving: An exploratory study. 2014. 2014 IEEE International Conference on Systems, Man, and Cybernetics, San Diego, USA, October 5-8, 2014.

Detailed record – Full text

L. A. Gheorghe; R. Chavarriaga; J. d. R. Millán : Steering Timing Prediction in a Driving Simulator Task. 2013. 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Osaka, Japan, July 3-7, 2013.

Detailed record – Full text

H. Zhang; R. Chavarriaga; L. A. Gheorghe; J. d. R. Millán : Inferring Driver’s Turning Direction through Detection of Error Related Brain Activity. 2013. 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Osaka, Japan, July 3-7, 2013.

Detailed record – Full text

R. Chavarriaga; L. A. Gheorghe; H. Zhang; Z. Khaliliardali; J. d. R. Millán : Detecting Cognitive States for Enhancing Driving Experience. 2013. 5th International BCI Meeting, Asilomar Conference Center, Pacific Grove, California, June 3-7, 2013. DOI : 10.3217/978-3-85125-260-6-60.

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H. Zhang; R. Chavarriaga; M. K. Goel; L. A. Gheorghe; J. d. R. Millán : Improved Recognition of Error Related Potentials through the use of Brain Connectivity Features. 2012. The 34th Annual International Conference of the Engineering in Medicine and Biology Society, San Diego, California, USA, August 28 – September 1, 2012. p. 6740-6743.

Detailed record – Full text

Z. Khaliliardali; R. Chavarriaga; L. A. Gheorghe; J. d. R. Millán : Detection of Anticipatory Brain Potentials during Car Driving. 2012. The 34th Annual International Conference of the Engineering in Medicine and Biology Society, San Diego, USA, Aug 28-Sep 1.

Detailed record – Full text

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Latest Journal Publications

R. Liu, S. Kumar, H. Alawieh, E. Carnahan and J. del R. Millán. On Transfer Learning for Naive Brain Computer Interface Users.  2023 11th International IEEE/EMBS Conference on Neural Engineering (NER), Baltimore, MD, USA, 2023, pp. 1-5.

Beraldo, G., Tonin, L., Cesta, A., Menegatti, E., Millán, J.d.R. (2023). Validation of Shared Intelligence Approach for Teleoperating Telepresence Robots Through Inaccurate Interfaces. In: Petrovic, I., Menegatti, E., Marković, I. (eds) Intelligent Autonomous Systems 17. IAS 2022. Lecture Notes in Networks and Systems, vol 577. Springer, Cham.

Luca Tonin, Serafeim Perdikis, Taylan Deniz Kuzu, Jorge Pardo, Bastien Orset, Kyuhwa Lee, Mirko Aach, Thomas Armin Schildhauer, Ramón Martínez-Olivera, José del R. Millán. Learning to control a BMI-driven wheelchair for people with severe tetraplegia. iScience. 2022. 105418.

Ju-Chun Hsieh, Hussein Alawieh, Yang Li, Fumiaki Iwane, Linran Zhao, […]. A highly stable electrode with low electrode-skin impedance for wearable brain-computer interface. Biosensors and Bioelectronics. 2022, 114756.

JH. Jeong, JH. Cho, YE. Lee, SH. Lee, GH. Shin, YS. Kweon,  J.d.R. Millán, KR. Müller, SW Lee. 2020 International brain-computer interface competition: A review. Front Hum Neurosci. 2022 Jul, 22(16):898300.


For a complete list of publications go to our Publications page!

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