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eNHANCE SIGNED

eNHANCE - intention based enhancement of reaching and grasping in physically disabled people - personalized to maximize user performance

Total Cost €

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EC-Contrib. €

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Partnership

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Project "eNHANCE" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITEIT TWENTE 

Organization address
address: DRIENERLOLAAN 5
city: ENSCHEDE
postcode: 7522 NB
website: www.utwente.nl

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 Netherlands [NL]
 Project website http://www.enhance-motion.eu
 Total cost 3˙916˙055 €
 EC max contribution 3˙916˙054 € (100%)
 Programme 1. H2020-EU.2.1.1.4. (Content technologies and information management: ICT for digital content, cultural and creative industries)
 Code Call H2020-ICT-2014-1
 Funding Scheme RIA
 Starting year 2015
 Duration (year-month-day) from 2015-02-01   to  2019-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITEIT TWENTE NL (ENSCHEDE) coordinator 760˙584.00
2    IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE UK (LONDON) participant 1˙324˙941.00
3    BIOSERVO TECHNOLOGIES AB SE (KISTA) participant 406˙011.00
4    ROESSINGH RESEARCH AND DEVELOPMENT BV NL (ENSCHEDE) participant 349˙610.00
5    UNIVERSITY COLLEGE LONDON UK (LONDON) participant 345˙138.00
6    HANKAMP REHAB BV NL (ENSCHEDE) participant 250˙000.00
7    FOCAL MEDITECH BV NL (TILBURG) participant 198˙520.00
8    HACKER MOTOR GMBH DE (ERGOLDING) participant 156˙250.00
9    NOLDUS INFORMATION TECHNOLOGY BV NL (WAGENINGEN) participant 125˙000.00
10    EYEBRAIN FR (IVRY SUR SEINE) participant 0.00

Map

 Project objective

The eNHANCE project key objective is to symbiotically mechanically support and motivate people with motor impairments resulting from muscular or neural degeneration (e.g. stroke) to perform complex daily life tasks. Our system aims to assist the user in performing their daily-life interaction with the environment through an intelligent multi-modal adaptive interface controlled by a high performance intention detection input interface and a personalised behavioural model. The eNHANCE active support orthotics enables the users to achieve their desired movement actions, while motivating the users to maximize their own force contribution. This will maximize user performance relative to their personal capacity, and so maximize therapeutic effects. This requires a personalized mechanical support system taking into account personal behaviour in response to arm and hand support characteristics, supplementary motivational inputs provided by the system and context. Our personalized behaviour model will be constantly predicting user performance. This model is adaptively identified based on the discrepancy between observed and predicted user performance. The eNHANCE consortium provides a unique combination of European companies, knowledge and clinical institutes required to tackle this challenge. The expertise covers such diverse fields as body-mounted sensing, high-performance intention detection, machine intelligence, behavioral monitoring and modeling, dexterous mechatronic arm and handfunction support, intelligent and user-enabling daily-life care, and economical and clinical exploitation of such new approaches. The research and innovation will be driven by clinical user and industrial requirements identification and is finalized by clinical validation and industrial prototype realization and demonstration.

 Deliverables

List of deliverables.
Cumulative dissemination update – period 2 Documents, reports 2019-08-30 16:24:33
Cumulative dissemination update – period 1 Documents, reports 2019-08-30 16:24:33

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

 Publications

year authors and title journal last update
List of publications.
2018 JC de Vries, AL van Ommeren, GP Prange-Lasonder, JS Rietman, PH Veltink
Detection of the intention to grasp during reach movements
published pages: 205566831775285, ISSN: 2055-6683, DOI: 10.1177/2055668317752850
Journal of Rehabilitation and Assistive Technologies Engineering 5 2019-10-08
2018 Anne L van Ommeren, Laura C Smulders, Gerdienke B Prange-Lasonder, Jaap H Buurke, Peter H Veltink, Johan S Rietman
Assistive Technology for the Upper Extremities After Stroke: Systematic Review of Users’ Needs
published pages: e10510, ISSN: 2369-2529, DOI: 10.2196/10510
JMIR Rehabilitation and Assistive Technologies 5/2 2019-10-08
2017 Van Ommeren AL, Prange-Lasonder GB, Buurke JH, Rietman JS.
Preliminary results of the direct effect of a soft-robotic glove as assistive device on movement execution in stroke
published pages: , ISSN: , DOI:
joint Dutch Congress of Rehabilitation Medicine (DCRM) 2019-10-08
2018 Van Ommeren AL, Radder B, Buurke JH, Kottink AIR, Holmberg J, Sletta K, Prange GB, Rietman JS.
The effect of prolonged use of wearable soft-robotic glove post stroke - a proof-of-principle
published pages: , ISSN: , DOI:
BioRob conference 2018 2019-10-08
2019 Van Ommeren A, Radder B, Kottink A, Buurke J, Prange-Lasonder G, Rietman J.
Quantifying upper extremity performance with and without assistance of a soft-robotic glove in the elderly population: a kinematic analysis
published pages: [Epub ahead of p, ISSN: 1650-1977, DOI: 10.2340/16501977-2535
J Rehabil Med [Epub ahead of print] 2019-10-08
2019 Ali Shafti, Pavel Orlov, A. Aldo Faisal
Gaze-based, Context-aware Robotic System for Assisted Reaching and Grasping
published pages: , ISSN: , DOI:
IEEE International Conference on Robotics and Automation (ICRA 2019) Annual conference 2019-08-30
2018 Mickey Li, Noyan Songur, Pavel Orlov, Stefan Leutenegger, A Aldo Faisal
Towards an Embodied Semantic Fovea: Semantic 3D scene reconstruction from ego-centric eye-tracker videos
published pages: , ISSN: , DOI:
The 3rd International Workshop on Egocentric Perception, Interaction and Computing (EPIC@ECCV18) 2019-08-30
2016 Feryal M. P. Behbahani, Guillem Singla–Buxarrais, A. Aldo Faisal
Haptic SLAM: An Ideal Observer Model for Bayesian Inference of Object Shape and Hand Pose from Contact Dynamics
published pages: 146-157, ISSN: , DOI: 10.1007/978-3-319-42321-0_14
International Conference on Human Haptic Sensing and Touch Enabled Computer Applications 2019-08-30
2017 Tamar R. Makin, Frederique de Vignemont, A. Aldo Faisal
Neurocognitive barriers to the embodiment of technology
published pages: 14, ISSN: 2157-846X, DOI: 10.1038/s41551-016-0014
Nature Biomedical Engineering 1/1 2019-08-30

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