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Feel your Reach SIGNED

Non-invasive decoding of cortical patterns induced by goal directed movement intentions and artificial sensory feedback in humans

Total Cost €


EC-Contrib. €






 Feel your Reach project word cloud

Explore the words cloud of the Feel your Reach project. It provides you a very rough idea of what is the project "Feel your Reach" about.

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Project "Feel your Reach" data sheet

The following table provides information about the project.


Organization address
city: GRAZ
postcode: 8010

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Austria [AT]
 Project website
 Total cost 1˙994˙161 €
 EC max contribution 1˙994˙161 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-CoG
 Funding Scheme ERC-COG
 Starting year 2016
 Duration (year-month-day) from 2016-05-01   to  2021-04-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITAET GRAZ AT (GRAZ) coordinator 1˙994˙161.00


 Project objective

In Europe estimated 300.000 people are suffering from a spinal cord injury (SCI) with 11.000 new injuries per year. The consequences of spinal cord injury are tremendous for these individuals. The loss of motor functions especially of the arm and grasping function – 40% are tetraplegics – leads to a life-long dependency on care givers and therefore to a dramatic decrease in quality of life in these often young individuals. With the help of neuroprostheses, grasp and elbow function can be substantially improved. However, remaining body movements often do not provide enough degrees of freedom to control the neuroprosthesis. The ideal solution for voluntary control of an upper extremity neuroprosthesis would be to directly record motor commands from the corresponding cortical areas and convert them into control signals. This would realize a technical bypass around the interrupted nerve fiber tracts in the spinal cord. A Brain-Computer Interface (BCI) transform mentally induced changes of brain signals into control signals and serve as an alternative human-machine interface. We showed first results in EEG-based control of a neuroprosthesis in several persons with SCI in the last decade, however, the control is still unnatural and cumbersome. The objective of FEEL YOUR REACH is to develop a novel control framework that incorporates goal directed movement intention, movement decoding, error processing, processing of sensory feedback to allow a more natural control of a neuroprosthesis. To achieve this aim a goal directed movement decoder will be realized, and continuous error potential decoding will be included. Both will be finally joined together with an artificial kinesthetic sensory feedback display attached to the user. We hypothesize that with these mechanisms a user will be able to naturally control an neuroprosthesis with his/ her mind only.


year authors and title journal last update
List of publications.
2017 Catarina Lopes-Dias, Andreea Ioana Sburlea, and Gernot Müller-Putz
Error-related potentials with masked and unmasked onset during continuous control and feedback
published pages: , ISSN: , DOI: 10.3217/978-3-85125-533-1-52
7th Graz Brain-Computer Interface Conference 2019-08-05
2017 R.J. Kobler, A.I. Sburlea, and G.R. Müller-Putz
published pages: , ISSN: , DOI: 10.3217/978-3-85125-533-1-44
7th Graz Brain-Computer Interface Conference 2019-08-05
2018 Andreas Schwarz, Patrick Ofner, Joana Pereira, Andreea Ioana Sburlea, Gernot R Müller-Putz
Decoding natural reach-and-grasp actions from human EEG
published pages: 16005, ISSN: 1741-2560, DOI: 10.1088/1741-2552/aa8911
Journal of Neural Engineering 15/1 2019-08-06
2016 Patrick Ofner; Andreas Schwarz; Joana Pereira; Müller-Putz, Gernot R.
Movements of the same upper limb can be classified from low-frequency time-domain EEG signals
published pages: , ISSN: , DOI: 10.3217/978-3-85125-467-9-69
Proceedings of the 6th Brain-Computer Interface Meeting 1 2019-06-18
2016 G.R. Müller-Putz, A. Schwarz, J. Pereira, P. Ofner
From classic motor imagery to complex movement intention decoding: The noninvasive Graz-BCI approach
published pages: , ISSN: , DOI: 10.1016/bs.pbr.2016.04.017
Progress in Brain Research 2019-06-18
2018 David Steyrl, Gunther Krausz, Karl Koschutnig, Günter Edlinger, Gernot R. Müller-Putz
Online Reduction of Artifacts in EEG of Simultaneous EEG-fMRI Using Reference Layer Adaptive Filtering (RLAF)
published pages: 129-149, ISSN: 0896-0267, DOI: 10.1007/s10548-017-0606-7
Brain Topography 31/1 2019-06-18
2017 Karina Statthaler, Andreas Schwarz, David Steyrl, Reinmar Kobler, Maria Katharina Höller, Julia Brandstetter, Lea Hehenberger, Marvin Bigga, Gernot Müller-Putz
Cybathlon experiences of the Graz BCI racing team Mirage91 in the brain-computer interface discipline
published pages: , ISSN: 1743-0003, DOI: 10.1186/s12984-017-0344-9
Journal of NeuroEngineering and Rehabilitation 14/1 2019-06-18
2017 Patrick Ofner, Andreas Schwarz, Joana Pereira, Gernot R. Müller-Putz
Upper limb movements can be decoded from the time-domain of low-frequency EEG
published pages: e0182578, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0182578
PLOS ONE 12/8 2019-06-18
2017 Joana Pereira, Patrick Ofner, Andreas Schwarz, Andreea Ioana Sburlea, Gernot R. Müller-Putz
EEG neural correlates of goal-directed movement intention
published pages: 129-140, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2017.01.030
NeuroImage 149 2019-06-18
2017 Jane E. Huggins, Christoph Guger, Mounia Ziat, Thorsten O. Zander, Denise Taylor, Michael Tangermann, Aureli Soria-Frisch, John Simeral, Reinhold Scherer, Rüdiger Rupp, Giulio Ruffini, Douglas K. R. Robinson, Nick F. Ramsey, Anton Nijholt, Gernot Müller-Putz, Dennis J. McFarland, Donatella Mattia, Brent J. Lance, Pieter-Jan Kindermans, Iñaki Iturrate, Christian Herff, Disha Gupta, An H. Do, Jennifer L. Collinger, Ricardo Chavarriaga, Steven M. Chase, Martin G. Bleichner, Aaron Batista, Charles W. Anderson, Erik J. Aarnoutse
Workshops of the Sixth International Brain–Computer Interface Meeting: brain–computer interfaces past, present, and future
published pages: 3-36, ISSN: 2326-263X, DOI: 10.1080/2326263X.2016.1275488
Brain-Computer Interfaces 4/1-2 2019-06-18
2016 Andreas Schwarz; Patrick Ofner; Joana Pereira; Müller-Putz, Gernot R.
Time domain classification of grasp and hold tasks
published pages: , ISSN: , DOI: 10.3217/978-3-85125-467-9-76
Proceedings of the 6th Brain-Computer Interface Meeting 1 2019-06-18
2018 Andreea I. Sburlea, Gernot R. Müller-Putz
Exploring representations of human grasping in neural, muscle and kinematic signals
published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-018-35018-x
Scientific Reports 8/1 2019-04-18
2018 Catarina Lopes Dias, Andreea I Sburlea, Gernot R Müller-Putz
Masked and unmasked error-related potentials during continuous control and feedback
published pages: 36031, ISSN: 1741-2560, DOI: 10.1088/1741-2552/aab806
Journal of Neural Engineering 15/3 2019-05-03
2018 Joana Pereira, Andreea Ioana Sburlea, Gernot R. Müller-Putz
EEG patterns of self-paced movement imaginations towards externally-cued and internally-selected targets
published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-018-31673-2
Scientific Reports 8/1 2019-04-18
2018 Reinmar J. Kobler, Andreea I. Sburlea, Gernot R. Müller-Putz
Tuning characteristics of low-frequency EEG to positions and velocities in visuomotor and oculomotor tracking tasks
published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-018-36326-y
Scientific Reports 8/1 2019-04-18

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