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.
Field of science
- /natural sciences/mathematics/applied mathematics/dynamical systems
Call for proposal
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