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Jose del R. Millan

The University of Texas at Austin

CNBI Lab

Clinical Neuroprosthetics and Brain Interaction LabCNBI Lab

 

 
  • About
  • Team
    • CNBI Lab Members
    • Alumni
  • Research
  • Publications
  • Projects
    • Closed-Loop Brain Stimulation as a Potential Intervention for Cognitive Decline
    • Sinergia
    • Hasler project
    • NCCR Robotics
    • CNBI-NISSAN
    • BNCI Horizon 2020
    • TOBI
    • CNBI-Colombia
    • Opportunity
    • BID
    • BACS
    • MAIA
    • IM2, BMI Integrated Project (Swiss NCCR)
  • Events
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Opportunity

Opportunity: Activity and Context Recognition with Opportunistic Sensor Configurations

FET-Open (Future and Emerging Technologies Open Call) project under the Information and Communication Technologies theme of the 7th Framework Program of the European Commission.

Project duration: 01/02/2009 – 31/01/2012
Grant agreement no: 225938
Project web page: http://www.opportunity-project.eu


Partners

  • Wearable Computing Laboratory,  ETHZ
  • CNBI, EPFL
  • Embedded Systems Laboratory, University of Passau
  • Institut für Pervasive Computing, Johannes Kepler Universität Linz

Journal Articles

2015

H. Sagha; S. Perdikis; J. d. R. Millán; R. Chavarriaga : Quantifying electrode reliability during Brain-Computer Interface operation; IEEE Transactions on Biomedical Engineering. 2015. DOI : 10.1109/TBME.2014.2366554.

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2013

H. Sagha; H. Bayati; J. d. R. Millán; R. Chavarriaga : On-line anomaly detection and resilience in classifier ensembles; Pattern Recognition Letters. 2013. DOI : 10.1016/j.patrec.2013.02.014.

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R. Chavarriaga; H. Sagha; A. Calatroni; S. Digumarti; G. Tröster et al. : The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition; Pattern Recognition Letters. 2013. DOI : 10.1016/j.patrec.2012.12.014.

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D. Roggen; P. Lukowicz; A. Ferscha; J. d. R. Millán; G. Tröster et al. : Opportunistic human activity and context recognition; Computer -IEEE Computer Society-. 2013. DOI : 10.1109/MC.2012.393.

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R. Chavarriaga; H. Bayati; J. d. R. Millán : Unsupervised adaptation for acceleration-based activity recognition: Robustness to sensor displacement and rotation; Personal and Ubiquitous Computing. 2013. DOI : 10.1007/s00779-011-0493-y.

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2012

M. Kurz; H. Gerold; A. Ferscha; A. Calatroni; D. Roggen et al. : The OPPORTUNITY Framework and Data Processing Ecosystem for Opportunistic Activity and Context Recognition; International Journal of Sensors, Wireless Communications and Control. 2012.

Detailed record – Full text

2011

R. Leeb; H. Sagha; R. Chavarriaga Lozano; J. d. R. Millán : A hybrid BCI based on the fusion of EEG and EMG activities; Journal of Neural Engineering. 2011. DOI : 10.1088/1741-2560/8/2/025011.

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2010

R. Chavarriaga; J. d. R. Millán : Context-Aware Brain-Computer Interfaces; PerAda Magazine. 2010. DOI : 10.2417/2201006.003009.

Detailed record – Full text – View at publisher

Latest News

  • Akhil Surapaneni’s poster wins the Larry Abraham Excellence in Rehabilitation Research Award
  • Brain-Powered Wheelchair Shows Real-World Promise
  • UT Researchers Develop Electrode to Rehabilitate Stroke Patients at Home
  • Stable Electrodes for Long-Term, Wearable Brain-Machine Interface
  • José Del R. Millán Nominated as a Dell Medical School Visionary

Latest Journal Publications

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.

F. Dell’Agnola, P.-K. Jao, R. Chavarriaga, J.d.R. Millán, D. Floreano, D. Atienza. (2022). Machine-Learning Based Monitoring of Cognitive Workload in Rescue Missions with Drones. in IEEE J. of Biomedical and Health Informatics,2022 Sep, 26(9):4751-4762.


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

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