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INPUT SIGNED

Intuitive Natural Prosthesis UTilization

Total Cost €

0

EC-Contrib. €

0

Partnership

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Project "INPUT" data sheet

The following table provides information about the project.

Coordinator
OTTO BOCK HEALTHCARE PRODUCTS GMBH 

Organization address
address: BREHMSTRASSE 16
city: WIEN
postcode: 1110
website: www.ottobock.at

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 http://www.input-h2020.eu
 Total cost 3˙835˙585 €
 EC max contribution 2˙706˙246 € (71%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2015
 Funding Scheme IA
 Starting year 2016
 Duration (year-month-day) from 2016-02-01   to  2020-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    OTTO BOCK HEALTHCARE PRODUCTS GMBH AT (WIEN) coordinator 486˙619.00
2    ACADEMISCH ZIEKENHUIS GRONINGEN NL (GRONINGEN) participant 908˙137.00
3    OTTOBOCK SE & CO. KGAA DE (DUDERSTADT) participant 469˙962.00
4    IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE UK (LONDON) participant 333˙225.00
5    ORTOPADISCHES SPITAL SPEISING GMBH AT (WIEN) participant 315˙452.00
6    UNIVERSITAETSMEDIZIN GOETTINGEN - GEORG-AUGUST-UNIVERSITAET GOETTINGEN - STIFTUNG OEFFENTLICHEN RECHTS DE (GOETTINGEN) participant 192˙848.00
7    SCUOLA UNIVERSITARIA PROFESSIONALE DELLA SVIZZERA ITALIANA CH (MANNO) participant 0.00

Map

 Project objective

'INPUT will strive to make the control of complex upper limb prostheses simple, natural and to be used on a daily basis by amputees effortlessly after donning -'don and play'. Currently, the most advanced routine prosthetic control on the market is more than 4 decades old, outdated and constitutes the bottle neck to introducing highly dexterous prostheses. The project builds on achievements reached in the EU FP7 IAPP projects AMYO (Grant No. 251555, 2011-2014) and MYOSENS (Grant No. 286208, 2012-2015), which were targeting improved signal acquisition and signal processing for advanced upper limb prosthetic control. The projects were very successful and received high recognitions national and international recognitions. In INPUT, the main goal will be to transfer the obtained results from laboratory settings further towards a clinically and commercially viable medical product. The enabling concepts on which INPUT builds upon are: - Reliable, easy to apply, cost-effective signal acquisition - Reliable, powerful real-time signal processing - Quantifying true patient benefit - Optimized end-user training - Iterative clinical tests throughout the entire project In order to keep a realistic focus, the project will rely on well-known principles of advanced prosthesis control. Existing upper limb prosthetic hardware will be reused to minimize development time and costs. Improved electronics, algorithms and training will be the main innovations. INPUT will build on frequent end-user testing with amputees throughout the entire project. These will ensure targeted prototype development and market viability for advancing the technology from laboratory conditions to a high technology readiness level (TRL) of 8. The project relies on the cooperation between academic research, industry and clinical partners - thus representing the entire value chain of cutting edge upper limb prosthetics. This will ensure the development of stable, wearable and practical prototypes. '

 Deliverables

List of deliverables.
Computer-based rehabilitation game Documents, reports 2019-05-30 14:02:26
Project Homepage Websites, patent fillings, videos etc. 2019-05-30 14:01:48
Decision on terminal prototyping test device Documents, reports 2019-05-30 14:02:20
Activity monitoring system Demonstrators, pilots, prototypes 2019-05-08 01:36:17
Feedback in game Documents, reports 2019-05-08 01:36:17
Test for evaluating the ability of simultaneous proportional control Documents, reports 2019-05-08 01:36:17

Take a look to the deliverables list in detail:  detailed list of INPUT deliverables.

 Publications

year authors and title journal last update
List of publications.
2016 Andreas Franzke, Alessio Murgia, Corry van der Sluis, Raoul Bongers
A Coordination Dynamics Approach to Test Multi-DOF Myoelectric Prostheses: Preliminary Results
published pages: , ISSN: , DOI:
Trent International Prosthetic Symposium, ISPO, United Kingdom October 2016 2019-06-18
2016 Morten B. Kristoffersen, Andreas Franzke, Alessio Murgia, Corry van der Sluis, Raoul Bongers
Serious gaming to train pattern-recognition based myoelectric control
published pages: , ISSN: , DOI:
Trent International Prosthetic Symposium, ISPO, United Kingdom October 2016 2019-06-18
2017 Ivan Vujaklija, Aidan D. Roche, Timothy Hasenoehrl, Agnes Sturma, Sebastian Amsuess, Dario Farina, Oskar C. Aszmann
Translating Research on Myoelectric Control into Clinics—Are the Performance Assessment Methods Adequate?
published pages: , ISSN: 1662-5218, DOI: 10.3389/fnbot.2017.00007
Frontiers in Neurorobotics 11 2019-06-18
2017 Klaus Greff, Aaron Kleink, Martin Chovanec, Frank Hutterk, Jürgen Schmidhuber
The Sacred Infrastructure for Computational Research
published pages: , ISSN: , DOI:
Proceedings of the 15th Python in Science Conf (SCIPY2017) July 2017 2019-06-18
2017 Sebastian Amsuess, Ivana Sreckovic, Birgit Bischof, Thomas Fuchsberger
Performance and Satisfaction with Intuitive Multifunctional Hand Prosthesis Control
published pages: , ISSN: , DOI:
Proceedings of the International Society for Prosthetics and Orthotics 16th World Congress, South Africa May 2017 2019-06-18
2017 Janne M. Hahne, Marko Markovic, Dario Farina
User adaptation in Myoelectric Man-Machine Interfaces
published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-017-04255-x
Scientific Reports 7/1 2019-06-18
2017 Morten B. Kristoffersen, Andreas Franzke, Alessio Murgia, Corry van der Sluis, Raoul Bongers
User training for pattern-recognition based myoelectric prostheses using a serious game
published pages: , ISSN: , DOI:
Proceedings of the International Society for Prosthetics and Orthotics 16th World Congress, South Africa May 2017 2019-06-18
2017 Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
Neural Expectation Maximization
published pages: , ISSN: , DOI:
Proceedings of the 5th International Conference on Learning Representations August 2017 2019-06-18
2018 Ivan Vujaklija, Vahid Shalchyan, Ernest N. Kamavuako, Ning Jiang, Hamid R. Marateb, Dario Farina
Online mapping of EMG signals into kinematics by autoencoding
published pages: , ISSN: 1743-0003, DOI: 10.1186/s12984-018-0363-1
Journal of NeuroEngineering and Rehabilitation 15/1 2019-05-08

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The information about "INPUT" are provided by the European Opendata Portal: CORDIS opendata.

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