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Clinical Neuroprosthetics and Brain Interaction LabCNBI Lab

 

 

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.

Detailed record – Full text – View at publisher

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.

Detailed record – Full text – View at publisher

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

Primary Sidebar

Latest News

  • Satyam Kumar Successfully Defended his PhD Thesis. Congratulations!!
  • Hussein Alawieh Successfully Defended his PhD Thesis. Congratulations!!
  • Minsu Zhang recipient of the 2024 KSEA-KUSCO Graduate Scholarship
  • Nature Medicine: The Future of Brain–computer Interfaces in Medicine
  • Universal Brain-Computer Interface Lets People Play Games With Just Their Thoughts

Latest Publications

Racz FS, Kumar S, Kaposzta Z, Alawieh H, Liu DH, Liu R, Czoch A, Mukli P, Millán JDR. Combining Detrended Cross-Correlation Analysis with Riemannian Geometry-based Classification for Improved Brain-computer Interface Performance. Front Neurosci. 2024 Mar 14;18:1271831.

Kumar S, Alawieh H, Racz FS, Fakhreddine R, Millán JDR. Transfer Learning Promotes Acquisition of Individual BCI Skills.PNAS Nexus, Volume 3, Issue 2, February 2024, page076.

Iwane F, Billard A, Millán JDR. Inferring Individual Evaluation Criteria for Reaching Trajectories with Obstacle Avoidance from EEG Signals. Sci Rep. 2023 Nov 17;13(1):20163.

S. Kumar S. Kumar, D. H. Liu, F. S. Racz, M. Retana, S. Sharma, F. Iwane, B. P. Murphy, R. O’Keeffe, S. F. Atashzar, F. Alambeigi, J. del R. Millán. CogniDaVinci: Towards Estimating Mental Workload Modulated by Visual Delays During Telerobotic Surgery – An EEG-based Analysis. 2023 IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 2023, pp. 6789-6794.

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.


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

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