This work reports the research on brain-computer interfaces (BCI) carried out in the last five years at the Augmented Reality for Health Monitoring Laboratory (ARHeMLab), at the University of Naples Federico II (Italy). In the research, particular attention has been dedicated to wearability, portability, and other key features for obtaining user-friendly BCI systems. Indeed, the interest in the adoption of BCI systems is becoming particularly relevant for cyber-physical human systems (CPHSs), where possible applications relate to industry, healthcare, and daily-life activities in general. In such a context, materials and explored methods are reviewed, and results are presented with reference to reactive, active, and passive paradigms.
Brain-computer Interfaces for Daily-life Applications: a Five-year Experience Report / Angrisani, Leopoldo; Arpaia, Pasquale; De Benedetto, Egidio; Esposito, Antonio; Moccaldi, Nicola; Parvis, Marco. - ELETTRONICO. - (2021), pp. 1-6. (Intervento presentato al convegno 2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) tenutosi a Glasgow, United Kingdom nel 17-20 May 2021) [10.1109/I2MTC50364.2021.9459844].
Brain-computer Interfaces for Daily-life Applications: a Five-year Experience Report
Esposito, Antonio;Parvis, Marco
2021
Abstract
This work reports the research on brain-computer interfaces (BCI) carried out in the last five years at the Augmented Reality for Health Monitoring Laboratory (ARHeMLab), at the University of Naples Federico II (Italy). In the research, particular attention has been dedicated to wearability, portability, and other key features for obtaining user-friendly BCI systems. Indeed, the interest in the adoption of BCI systems is becoming particularly relevant for cyber-physical human systems (CPHSs), where possible applications relate to industry, healthcare, and daily-life activities in general. In such a context, materials and explored methods are reviewed, and results are presented with reference to reactive, active, and passive paradigms.File | Dimensione | Formato | |
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I2MTC2021_BCIreviewed.pdf
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Esposito-Brain.pdf
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https://hdl.handle.net/11583/2939452