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B-RELIABLE: Métodos para melhoria da fiabilidade e a interação em sistemas de interface cérebro- máquina através da integração da deteção automática de erros

 

CÓDIGO DO PROJETO: nº 030935      (SAICT/30935/2017)

OBJETIVO PRINCIPAL:  Research & Development of new methods, theoretical and computational models and respective experimental validation, in human-centered systems, using brain-machine/computer interfaces (BMI/BCI).

REGIÃO DE INTERVENÇÃO: Centro

ENTIDADES BENEFICIÁRIAS: Instituto de Sistemas e Robótica-UC (promotor), Universidade de Coimbra–ICNAS (co-promotor), Instituto Politécnico de Tomar-VITA (co-promotor)

DATA DE APROVAÇÃO: março 2018

DATA DE INÍCIO: 20/06/2018

DATA DE CONCLUSÃO: 19/06/2021

CUSTO TOTAL ELEGÍVEL: 239.767,58 EUR

APOIO FINANCEIRO DA UNIÃO EUROPEIA: 203.802,44 EUR (Programa Operacional Regional do Centro)

APOIO FINANCEIRO PÚBLICO/REGIONAL: 35.965,14 EUR  (FCT)

OBJETIVOS, ATIVIDADES E RESULTADOS ESPERADOS/ATINGIDOS:

The interdisciplinary project B-RELIABLE aims at the R&D of new methods, theoretical and computational models and respective experimental validation, in human-centered systems, aiming to: 1) increase the reliability of brain-machine/computer interfaces (BMI/BCI) intended to people with severe motor disabilities in communication and collaborative control applications; and 2) design new and more natural forms of human-machine interaction (HMI) and new paradigms for neurofeedback intervention, based on the automatic detection of error (originated by the human or by the system), in applications for healthy people or suffering neurodevelopment disorders. Particular focus will be given to the investigation of the use of an electroencephalographic (EEG) signal called Error Related Potential (ErrP), which occurs naturally in the brain as a response to unexpected errors.

 

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