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.
Field of science
- /medical and health sciences/basic medicine/neurology/muscular dystrophy/duchenne muscular dystrophy
- /engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/sensors/optical sensors
- /medical and health sciences/basic medicine/neurology/stroke
- /engineering and technology/mechanical engineering/mechatronics
- /engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/automation and control systems
- /natural sciences/computer and information sciences/artificial intelligence/machine learning/deep learning
Call for proposal
See other projects for this call
Funding SchemeRIA - Research and Innovation action
WC1E 6BT London
94200 Ivry Sur Seine
5026 SP Tilburg
7544 RG Enschede
164 40 Kista