VITA.IPT - Vida Assistida por Ambientes Inteligentes

BCI4ALL: Interfaces Cérebro-Computador para Pessoas em Estado de Encarceramento Mental e com Perturbações da Consciência

COMPETE FCT

CÓDIGO DO PROJETO: COMPETE2030-FEDER-00842800 (2023.17977.ICDT)

OBJETIVO PRINCIPAL: Project BCI4ALL aims to research and develop effective EEG-based BCIs for individuals in locked-in state (LIS) and completely LIS (CLIS). The focus is on machine learning methods to improve BCI usability, the use of tDCS for neuromodulation, and LLM-driven communication. It is also expected that researched techniques have the potential to be used for assessing patients with disorders of consciousness (DoC).

REGIÃO DE INTERVENÇÃO: Centro

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

DATA DE APROVAÇÃO: março 2025

DATA DE INÍCIO: 2025-05-01

DATA DE CONCLUSÃO: 2028-04-30

CUSTO TOTAL ELEGÍVEL: 249.955,20 EUR

APOIO FINANCEIRO DA UNIÃO EUROPEIA: 212.461,92 EUR (P2030/FEDER)

APOIO FINANCEIRO PÚBLICO/REGIONAL: 37.493,28 EUR (OE/FCT)

ATIVIDADES :

TASK1: Machine learning for highly non-stationary EEG signal with cross-session transfer-learning
TASK2: Transcranial direct current stimulation (TDCS) to enhance EEG discrimination
TASK3: Multilevel and multimodal interfaces for BCI and patient assessment: reflexive, perceptual and cognitive dimensions
TASK4: Using large language models for text and speech generation from BCI outputs and hybrid interfaces

Resultados científicos: https://sites.google.com/view/bci4all/