Measuring operators’ cognitive and emotional states, training progresses, and teamwork in operative contexts is really innovative. The Neuroscience Lab develops methodologies able to measure these parameters in real time under real settings (so not only in the labs).
| Struttura | |
| Spin OFF | Brainsigns srl (https://www.brainsigns.com/en/) |
| KET | Big data & computing Life-science technologies & biotechnologies Rapid Prototyping e Additive Manufacturing |
| Keywords | neuroscience, Mental states assessment, Physiological systems modeling - Multivariate signal processing, biometric signal processing, Artificial Intelligence (AI) |
| Progetti principali | |
| Altre informazioni |
| Nome | |
| Fabio Babiloni | fabio.babiloni@uniroma1.it |
| Pietro Aricò | pietro.arico@uniroma1.it |
| Gianluca Di Flumeri | gianluca.diflumeri@uniroma1.it |
| Vincenzo Ronca | vincenzo.ronca@uniroma1.it |
| Giulia Cartocci | giulia.cartocci@uniroma1.it |
| Patrizia Cherubino | patrizia.cherubino@uniroma1.it |
| Daniele Germano | daniele.germano@uniroma1.it |
| Andrea Giorgi | andrea.giorgi@uniroma1.it |
| ERC | Descrizione |
| PE7_7 | Signal processing |
| PE7_9 | Man-machine interfaces |
| PE6_11 | Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video) |
| LS5_18 | Innovative methods and tools for neuroscience |
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