Project description
Artificial intelligence to help patients with prosthetics
Millions of people worldwide suffer from deteriorated motor abilities resulting from strokes, brain tumour surgery or accidents. In most cases, prosthetic and assistive devices are the only option. The EU-funded MAIA project is taking one step further by designing a human-centric artificial intelligence (AI) to control prosthetic and assistive devices fitting on robotic arms, wheelchairs and exoskeletons. MAIA technology will be interactive, encouraging the confrontation between AI decision, user intention and real needs. Natural and fast communication as well as new forms of neural and behavioural data combinations will be identified, moving beyond current data processing methods. Such principles will be the core idea around which the MAIA ecosystem will be developed, laying the foundations for biomedical human centric AI.
Objective
What if in a near future Artificial Intelligence (AI) becomes human-centric, focusing on human needs and build trustworthiness by mutual understanding? Today, millions of people worldwide suffer from deteriorated motor abilities, due to stroke, brain tumor surgery or accident. This represents a serious society challenge with missing adequate technological response. Patients need assistive devices that are trustworthy, multifunctional, adaptive and interactive, i.e. intelligent, unlike current neuroprosthetics that replace single motor impairments.
MAIA proposes a paradigm shift where human-centric AI will control prosthetic and assistive devices. We will investigate and resolve critical steps towards the rapid development of such human-centric control: a radically novel intention decoder, a novel concept for trustworthy human-AI interactions, and a new type of database for acquired information from multiple sources.
MAIA AI technology will decode human intentions and communicate the decoded targets to assistive devices and to the users, to ensure compliance and develop trust through natural interaction and mutual learning. The technological outcome will be a multifunctional human-centric AI controller at TRL4 with embedded trustworthy characteristics, suitable to be integrated in robotic arms, wheelchair and exoskeletons.
To reach this, MAIA will investigate the principles underlying natural, fast and lean communication and new forms of combinations of neural and behavioural data beyond current data processing. MAIA’s approach will be guided by real needs of end users (patients and caregivers) through their direct involvement in the research program, and by all current knowledge from neuro-, cognitive, and social science research.
The application domains of MAIA’s new paradigm span from healthcare to industry, and space exploration. We will also establish a European innovation ecosystem beyond the research labs that will stimulate highly innovative enterprises.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences databases
- medical and health sciences clinical medicine surgery
- natural sciences biological sciences ecology ecosystems
- medical and health sciences basic medicine neurology stroke
- medical and health sciences medical biotechnology implants
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.2. - EXCELLENT SCIENCE - Future and Emerging Technologies (FET)
MAIN PROGRAMME
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H2020-EU.1.2.2. - FET Proactive
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
RIA - Research and Innovation action
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-FETPROACT-2019-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
40126 Bologna
Italy
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.