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.
The following table provides information about the project.
Coordinator |
TECHNISCHE UNIVERSITAET GRAZ
Organization address contact info |
Coordinator Country | Austria [AT] |
Project website | https://www.tugraz.at/institute/ine/research/current-projects/feel-your-reach/ |
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.
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1 | TECHNISCHE UNIVERSITAET GRAZ | AT (GRAZ) | coordinator | 1˙994˙161.00 |
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 |
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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 A COMPARISON OF OCULAR ARTIFACT REMOVAL METHODS FOR BLOCK DESIGN BASED ELECTROENCEPHALOGRAPHY EXPERIMENTS 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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The information about "FEEL YOUR REACH" are provided by the European Opendata Portal: CORDIS opendata.