Recent publications in the Electroencephalogram (EEG)-based brain–computer interface field suggest that this technology could be ready to go outside the research labs and enter the market as a new consumer product. This assumption is supported by the recent advantages obtained in terms of front-end graphical user interfaces, back-end classification algorithms, and technology improvement in terms of wearable devices and dry EEG sensors. This editorial paper aims at mentioning these aspects, starting from the review paper “Brain–Computer Interface Spellers: A Review” (Rezeika et al., 2018), published within the Brain Sciences journal, and citing other relevant review papers that discussed these points.
Brain–computer interfaces: Toward a daily life employment / Arico', Pietro.; Sciaraffa, N.; Babiloni, F.. - In: BRAIN SCIENCES. - ISSN 2076-3425. - 10:3(2020). [10.3390/brainsci10030157]
Brain–computer interfaces: Toward a daily life employment
Arico' Pietro.
Primo
;Sciaraffa N.;Babiloni F.
2020
Abstract
Recent publications in the Electroencephalogram (EEG)-based brain–computer interface field suggest that this technology could be ready to go outside the research labs and enter the market as a new consumer product. This assumption is supported by the recent advantages obtained in terms of front-end graphical user interfaces, back-end classification algorithms, and technology improvement in terms of wearable devices and dry EEG sensors. This editorial paper aims at mentioning these aspects, starting from the review paper “Brain–Computer Interface Spellers: A Review” (Rezeika et al., 2018), published within the Brain Sciences journal, and citing other relevant review papers that discussed these points.File | Dimensione | Formato | |
---|---|---|---|
Aricò_Brain-Computer_2020.pdf
accesso aperto
Note: https://doi.org/10.3390/brainsci10030157
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Creative commons
Dimensione
635.22 kB
Formato
Adobe PDF
|
635.22 kB | Adobe PDF |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.