Restoration of upper limb function in individuals with high spinal cord injury by multimodal neuroprostheses for interaction in daily activities

Informazioni relative al progetto

MoreGrasp

ID dell’accordo di sovvenzione: 643955

DOI

10.3030/643955

Progetto chiuso

Data della firma CE 12 Dicembre 2014

Data di avvio 1 Marzo 2015

Data di completamento 31 Maggio 2018

Finanziato da

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Costo totale

€ 3 471 452,50

Contributo UE

€ 3 471 452,50

Coordinato da

TECHNISCHE UNIVERSITAET GRAZ
Austria

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (2)

Review of sensors and integrated displays for the interactive environments

Report on suitable sensing solutions and environment augmentations

Shared control evaluation

Report on evaluation of shared control with environmental augmentation and multi-level control strategies.

Demonstrators, pilots, prototypes (2)

Registration and Matchmaking Platform I

The first prototype of the registration and matchmaking platform that enables users to register and get information about MoreGrasp

Registration and Matchmaking Platform II

The final version of the registration and matchmaking platform with results from the evaluations integrated.

Pubblicazioni

Conference proceedings (10)

Gesture Typing on Virtual Tabletop - Effect of Input Dimensions on Performance

Autori: Antoine Loriette, Roderick Murray-Smith, Sebastian Stein, John Williamson
Pubblicato in: Proceedings of the Interactive Surfaces and Spaces on ZZZ - ISS '17, 2017, Pagina/e 330-335, ISBN 9781-450346917
Editore: ACM Press
DOI: 10.1145/3132272.3135074

Personalising vibrotactile displays through perceptual sensitivity adjustment

Autori: Granit Luzhnica, Sebastian Stein, Eduardo Veas, Viktoria Pammer, John Williamson, Roderick Murray Smith
Pubblicato in: Proceedings of the 2017 ACM International Symposium on Wearable Computers - ISWC '17, 2017, Pagina/e 66-73, ISBN 9781-450351881
Editore: ACM Press
DOI: 10.1145/3123021.3123029

Movement target decoding from EEG and the corresponding discriminative sources: A preliminary study

Autori: Patrick Ofner, Gernot R. Muller-Putz
Pubblicato in: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, Pagina/e 1468-1471, ISBN 978-1-4244-9271-8
Editore: IEEE
DOI: 10.1109/EMBC.2015.7318647

Goal-directed or aimless? EEG differences during the preparation of a reach-and-touch task

Autori: Joana Pereira, Patrick Ofner, Gernot R. Muller-Putz
Pubblicato in: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015, Pagina/e 1488-1491, ISBN 978-1-4244-9271-8
Editore: IEEE
DOI: 10.1109/EMBC.2015.7318652

Improved estimates of BCI accuracy with hierarchical Bayesian models

Autori: Filip Melinscak, Luis Montesano and Javier Minguez
Pubblicato in: Proceedings of the 6th International Brain-Computer Interface Meeting, Numero May 2016, 2016, Pagina/e 1
Editore: Verlag der Technischen Universität Graz
DOI: 10.3217/978-3-85125-467-9-150

Moregrasp: Restoration of Upper Limb Function in Individuals with High Spinal Cord Injury by Multimodal Neuroprostheses for Interaction in Daily Activities

Autori: Müller-Putz, G.R.; Ofner, P.; Schwarz, A.; Pereira, J.; Luzhnica, G.; di Sciascio, C.; Veas, E.; Stein, S.; Williamson, J.; Murray-Smith, R.; Escolano, C.; Montesano, L.; Hessing, B.; Schneiders, M.; Rupp, R.
Pubblicato in: 2311-0422, Numero 1, 2018
Editore: Verlag der TU Graz
DOI: 10.3217/978-3-85125-533-1-62

Stratified, computational interaction via machine learning

Autori: Roderick Murray-Smith
Pubblicato in: The Eighteenth Yale Workshop on Adaptive and Learning Systems, Ed. K. Narendra, Yale, June 21-23rd, 2017, 2017
Editore: Yale University

Movements of the same upper limb can be classified from low-frequency time-domain EEG signals

Autori: Andreas Schwarz; Joana Pereira; Patrick Ofner; Müller-Putz, Gernot R.
Pubblicato in: Numero 2, 2016
Editore: Verlag der TU Graz, Graz University of Technology,
DOI: 10.3217/978-3-85125-467-9-69

Time domain classification of grasp and hold tasks

Autori: Patrick Ofner; Andreas Schwarz; Joana Pereira; Müller-Putz, Gernot R.
Pubblicato in: Numero 2, 2016
Editore: Verlag der TU Graz, Graz University of Technology,
DOI: 10.3217/978-3-85125-467-9-76

Discriminating goal-directed from nongoal-directed movements and its potential impact for BCI control

Autori: Patrick Ofner; Andreas Schwarz; Joana Pereira; Müller-Putz, Gernot R.
Pubblicato in: Numero 2, 2016
Editore: Verlag der TU Graz, Graz University of Technology,
DOI: 10.3217/978-3-85125-467-9-67

Peer reviewed articles (8)

Control Theoretic Models of Pointing

Autori: Jörg Müller, Antti Oulasvirta, Roderick Murray-Smith
Pubblicato in: ACM Transactions on Computer-Human Interaction, Numero 24/4, 2017, Pagina/e 1-36, ISSN 1073-0516
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3121431

Beyond p-values in the evaluation of brain–computer interfaces: A Bayesian estimation approach

Autori: Filip Melinscak, Luis Montesano
Pubblicato in: Journal of Neuroscience Methods, Numero 270, 2016, Pagina/e 30-45, ISSN 0165-0270
Editore: Elsevier BV
DOI: 10.1016/j.jneumeth.2016.06.008

EEG neural correlates of goal-directed movement intention

Autori: Joana Pereira, Patrick Ofner, Andreas Schwarz, Andreea Ioana Sburlea, Gernot R. Müller-Putz
Pubblicato in: NeuroImage, Numero 149, 2017, Pagina/e 129-140, ISSN 1053-8119
Editore: Academic Press
DOI: 10.1016/j.neuroimage.2017.01.030

Cybathlon experiences of the Graz BCI racing team Mirage91 in the brain-computer interface discipline

Autori: Karina Statthaler, Andreas Schwarz, David Steyrl, Reinmar Kobler, Maria Katharina Höller, Julia Brandstetter, Lea Hehenberger, Marvin Bigga, Gernot Müller-Putz
Pubblicato in: Journal of NeuroEngineering and Rehabilitation, Numero 14/1, 2017, ISSN 1743-0003
Editore: BioMed Central
DOI: 10.1186/s12984-017-0344-9

Workshops of the Sixth International Brain–Computer Interface Meeting: brain–computer interfaces past, present, and future

Autori: 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, Jen
Pubblicato in: Brain-Computer Interfaces, Numero 4/1-2, 2017, Pagina/e 3-36, ISSN 2326-263X
Editore: Taylor & Francies
DOI: 10.1080/2326263X.2016.1275488

Sensory Feedback Interferes with Mu Rhythm Based Detection of Motor Commands from Electroencephalographic Signals

Autori: Maximilian Hommelsen, Matthias Schneiders, Christian Schuld, Philipp Keyl, Rüdiger Rupp
Pubblicato in: Frontiers in Human Neuroscience, Numero 11, 2017, ISSN 1662-5161
Editore: Frontiers Research Foundation
DOI: 10.3389/fnhum.2017.00523

Upper limb movements can be decoded from the time-domain of low-frequency EEG

Autori: Patrick Ofner, Andreas Schwarz, Joana Pereira, Gernot R. Müller-Putz
Pubblicato in: PLOS ONE, Numero 12/8, 2017, Pagina/e e0182578, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0182578

User-centred design in brain–computer interface research and development

Autori: Andrea Kübler, Gernot Müller-Putz, Donatella Mattia
Pubblicato in: Annals of Physical and Rehabilitation Medicine, Numero 58/5, 2015, Pagina/e 312-314, ISSN 1877-0657
Editore: Elsevier Masson
DOI: 10.1016/j.rehab.2015.06.003

Book chapters (1)

From classic motor imagery to complex movement intention decoding: The noninvasive Graz-BCI approach

Autori: G.R. Müller-Putz, A. Schwarz, J. Pereira, P. Ofner
Pubblicato in: Progress in Brain Research, 2016
Editore: Elsevier
DOI: 10.1016/bs.pbr.2016.04.017