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Related Projects - BNCI Horizon 2020

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Related Projects - BNCI Horizon 2020 HomeProjectConsortiumDetailsAdvisory BoardDeliverablesMilestonesDisseminationRetreatRelated ProjectsContactAbout BCIsBasicsGlossaryBibliographyLinksCommunityNewsEventsJobsEnd UsersCompaniesResearch GroupsSoftwareBCI SocietyDatabaseData setsSubmit new data setRoadmap Login Log in HomeProjectRelated Projects Related Projects Ongoing EU projects BackHome Coordinator: Barcelona Digital Centre Tecnològic Duration: 01/2012–06/2015 The long term goal of rehabilitation is resettlement when in the polity yonder from institutional care. BackHome will conceive, research, design, implement and validate person-centred solutions to end users with functional diversity. Knowing the person's needs will be a cadre part of the pro­ject focus. Social research techniques will be conducted in order to provide a continuous spritz of user-based knowledge that will be crucial to ensure the structuring between the project outputs and the requirements of people. BackHome will provide assistive technology (AT) solutions to research and develop systems for profitable people with severe disabilities. The AT embedded within BackHome will include BNCIs, environmental tenancy systems and a range of other technologies which are usually classified as ambient intelligence and which can provide a considerable support to make BNCI solutions really work in environments with a lack of human support. The main goal of BackHome is to help end users who want to use BNCI tools to succeed goals that are otherwise impossible, difficult, or create dependence on a caregiver. BackHome will remoter help the end user support community, including doctors, nurses, family members, AT centers, and other people who want to provide the best possible tools for their patients or loved ones. BackHome will moreover imbricate specific research on the potential applicability of the system in variegated scenarios and the benefits provided to spare target groups: quadriplegics, hemiplegics; people unauthentic by speech disorders such as aphasia; people with dementia; people unauthentic by visual and hearing functional diversity; people unauthentic by cognitive functional diversity such as Alzheimer or Parkinson diseases; and minimum response people or locked-in persons. MindSee Coordinator: University of Helsinki Duration: 10/2013–09/2016 In recent years, real time wringer of user state based on signals from the smart-ass and peripheral physiology has made progress, typically within separate branches of research. However, the worthiness to predict user intention from these inferred states is still a grand rencontre in real-world applications. As a novel solution, MindSee proposes to fuse EEG – as the main sensor – with peripheral physiological sensors (EDR, fEMG, eye gaze and pupillometry) and contextual information for unobtrusive vanquishment of implicit measures of perception, cognition and emotion.  Real-time estimates of these implicit, or hidden, user states will be used to complement keyboard and gestural input in a real-world using of scientific literature search where the information exploration of the user is guided by co-adaptation with the computer. The proposed Symbiotic Information Seeking System will provide a wide range of visualization resources that transmute the information retrieved equal to its relevance, cognitive ergonomic complexity, and stimulating properties. For the target using of scientific literature search, MindSee builds upon a cutting-edge retrieval system that has wangle to 50 million documents from the main scientific databases. MindSee will be ripened using an iterative tideway with three full cycles of implementation and evaluation of increasingly ramified symbiotic interactions in information seeking. The iterative evaluation of MindSee technology and validation of underlying methods will be conducted in realistic experiments with user groups that vary in skill and content area. The MindSee project will develop a new symbiotic information retrieval system capable of increasingly than doubling the performance of information seeking in realistic tasks, compared to mainstream tools. MindSee symbiotic interaction will unhook solutions to increase productivity and creative potential. Several MindSee results are exploitable and workable to other information seeking contexts vastitude scientific literature search. MoreGrasp Coordinator: Graz University of Technology Duration: 03/2015–02/2018Increasinglythan half of the persons with spinal string injuries (SCI) are suffering from impairments of both hands, which results in a tremendous subtract of quality of life (QoL) and represents a major windbreak for inclusion in society. Functional restoration is possible with neuroprostheses based on functional electrical stimulation (FES). However, current systems are nonintelligent, non-intuitive unshut loop systems without sensory feedback. MoreGrasp aims at developing a multi-adaptive, multimodal user interface including brain-computer interfaces (BCIs) for intuitive tenancy of a semi-autonomous motor and sensory grasp neuroprosthesis to support activities of daily living in individuals with SCI. With such a system a bilateral grasp restoration may wilt reality. The multimodal interfaces will be based on non-invasive BCIs for decoding of movements intentions with gel-less electrodes and wireless amplifiers. The neuroprosthesis will include FES electrode arrays and variegated sensors to indulge for implementation of predefined or autonomously learned sequences. MoreGrasp will consequently follow the concept of the user-centered diamond by providing a scalable, modular, user-specific neuroprosthesis together with personalized EEG recording technology. Novel multimodal software architectures including interoperability standards will be specified to integrate neuroprostheses into the field of assistive technology. Long-term end user studies will demonstrate the reliability, usefulness and impact on QoL of the MoreGrasp technology. A web-based service infrastructure including a discussion forum will be set up for assessing user priorities and screening of users’ status. The evaluation of the training and patterns of use will indulge for user modeling to identify factors for successful use. The highly interdisciplinary MoreGrasp consortium consists of members from universities, industry and rehabilitation centers, which have a long history of successful cooperation. NEBIAS Coordinator: Scuola Superiore Sant'Anna Duration: 11/2013–10/2017 The NEBIAS (neurocontrolled bidirectional strained upper limb and hand prosthesis) proposal aims at developing and clinically evaluating (in selected amputees) a neuro-controlled upper limb prosthesis intuitively controlled and felt by the amputee as the natural one. This will be possible by ways of a novel neural interface worldly-wise to provide a stable and very selective connection with the nervous system. This goal will be achieved by combining microtechnology and material science and will allow, on one side, recording of the motor-related signals governing the deportment of the amputated hand/arm for the motion tenancy of a mechanical prosthesis, and on the other providing sensory feedback from tactile and kinesthetic sensors through neuromorphic stimulation of the unobjectionable afferent pathway within the residual limb. The NEBIAS proposal is moreover aimed at finding out the language intrinsically linking the inside nervous system with peripheral nerve signals in order to govern simple and ramified hand or finger movements. To reach this goal, a variety of techniques exploring smart-ass and nerve functions will be assembled and integrated; this includes the wringer of electromagnetic smart-ass and nerve signals, as well as of movement-related changes in the thoroughbred flow/metabolism of the brain. SI-CODE Coordinator: Fondazione Istituto Italiano di Tecnologia Duration: 03/2012–08/2015Smart-assMachine Interfaces (BMIs) are devices mediating liaison between a smart-ass and the external world, and hold the potential for a) restoring motor or sensory functions to people who lost them due to illness or injury, and b) understanding neural information processing through controlled interactions between neurons and external devices. However, the success of BMIs is hampered by the problem that neural responses to external correlates are highly variable considering they depend on the internal state of the neural network. We propose to remove this obstacle by developing a radically new generation of "bidirectional BMIs" (which decode information from the recorded neural worriedness and provide information to the smart-ass by stimulation) employing neural computational strategies and neuromorphic VLSI devices that i) understand how network states influence neural responses to stimuli; ii) use this know-how to unbelieve variability induced by state changes in real time and thus operate with increased bandwidth and performance. We gather a highly interdisciplinary team well-balanced of both mathematical and experimental neuroscientists and of VLSI engineers. We will study the interplay between ongoing network states and stimulus-evoked responses in various nervous systems of variegated complexity. We will develop wide algorithms and models of network dynamics to determine the network state variables weightier predicting and discounting neural variability, and to construct optimal state-dependent rules to decode neural activity. We will implement these algorithms in a new "state-dependent bidirectional BMI" prototype using low-power neuromorphic VLSI circuits that pericope in real time network state information and use it to produce outputs optimally suited for both decoding of recorded signals and delivering electrical stimulation to a neural tissue in a given state. This BMI will be tested in a benchmark experiment in rats to guide an external device with sealed loop control. Past EU projects ABC Coordinator: Instituto de Biomecánica de Valencia Duration: 11/2011–10/2014 AsTeRICS Coordinator: Kompetenznetzwerk Informationstechnologie zur Förderung der Integration von Menschen mit Behinderungen Duration: 01/2010–12/2012 BETTER Coordinator: Consejo Superior de Investigaciones Científicas Duration: 02/2010–01/2013 BRAIN Coordinator: Universität Bremen Duration: 09/2008–08/2011 BrainAble Coordinator: Barcelona Digital Centre Tecnològic Duration: 01/2010–12/2012Smart-assBow Coordinator: Fondazione Istituto Italiano di Tecnologia Duration: 02/2012–01/2015 CONTRAST Coordinator: Julius-Maximilians-Universität Würzburg Duration: 11/2011–10/2014 DECODER Coordinator: Julius-Maximilians-Universität Würzburg Duration: 02/2010–04/2013 Future BNCI Coordinator: Graz University of Technology Duration: 01/2010–12/2011 MINDWALKER Coordinator: Space Applications Services Duration: 01/2010–05/2013 MUNDUS Coordinator: Politecnico di Milano Duration: 03/2010–02/2013 TOBI Coordinator: École Polytechnique Fédérale de Lausanne Duration: 11/2008–01/2013 TREMOR Coordinator: Consejo Superior de Investigaciones Científicas Duration: 09/2008–04/2010 WAY Coordinator: Scuola Superiore Sant'Anna Duration: 10/2011–09/2014 Copyright © 2015 Graz University of Technology. HomeProjectConsortiumDetailsAdvisory BoardDeliverablesMilestonesDisseminationRetreatRelated ProjectsContactAbout BCIsBasicsGlossaryBibliographyLinksCommunityNewsEventsJobsEnd UsersCompaniesResearch GroupsSoftwareBCI SocietyDatabaseData setsSubmit new data setRoadmap