Project description
Personalised cognitive and motor learning for the aged
For those who require it, motor sequence learning in the elderly is crucial for improvement of their motor function. However, existing motor learning programmes neglect individual cognitive and motor differences, resulting in significantly varied improvements in motor function. The EU-funded ICOME project aims to offer a management solution to the ageing demographic in the EU. It will create an efficient method that provides a personalised approach to motor sequence learning in the elderly. The project will address historical and existing theoretical topics, establish an inclusive neurocognitive model of motor learning representation using advanced machine learning methods, and create a personalised intervention. The findings will contribute to improving health management policies and future applications of advanced brain-computer interfaces.
Objective
This project aims to create a method with high efficacy aimed at providing an individualised approach to motor sequence learning in elder adults. The current problem is that the provision of motor learning programs have little/no consideration of individual cognitive and motor differences, and therefore varying levels of improvements. The innovation is to provide a management solution to the ageing demographics across Europe by creating an evidence-based approach targeting cognitive and motor learning parameters for elder adults to improve their overall motor function using an ecological dancelike sequence learning task. We propose a three-stage approach to investigate and provide a viable solution. In the first stage, we will address historical and current theoretical issues with the quantification of motor learning development in elder adults. Addressing topics such as dynamical systems and the aggregation of performance analyses in the face of a large range of baseline physical differences in the elderly will shed new light in a theoretically driven perspective. In the second stage, we will create an integrated neurocognitive model of motor learning representation for the elderly using advanced supervised machine learning with real EEG and behavioural data. Lastly, we will create and pilot an individualised intervention based on the model in the second stage, that targets cognitive control using meditation, and physical parameters with progressive chunk scaling approaches to drive greater learning outcomes in a shorter timeframe for the elderly. The results from this project have the potential to change health management policies and future applications of advanced brain computer interfaces.
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 mathematics applied mathematics dynamical systems
- natural sciences computer and information sciences artificial intelligence machine learning
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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.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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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.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
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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-MSCA-IF-2019
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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.
7522 NB Enschede
Netherlands
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.