A Brain-Computer Interface (BCI) is an alternative/augmentative communication device that can provide users (for example, individuals lacking voluntary muscle control) with an interaction path, based on the interpretation of his/her brain activity. In this paper, the design and implementation of a flexible, low-cost BCI development platform is presented; this platform could serve as a workbench to develop compact, standalone BCI embedded modules, specifically targeted to (even if not limited to) AAL control purposes. First, a low-cost, custom, bio-potential acquisition unit was realized; then, a Matlab-based environment was developed for EEG (ElectroEncephaloGram) signal analysis and processing. An application example involving a 4-class SSVEP-based BCI is presented, along with a novel classification algorithm which achieved 94.7% classification accuracy.

Brain.me: A Low-Cost Brain Computer Interface for AAL Applications / Mora, Niccolò; Bianchi, V.; De Munari, I.; Ciampolini, P.. - STAMPA. - (2014), pp. 223-231. [10.1007/978-3-319-01119-6_23]

Brain.me: A Low-Cost Brain Computer Interface for AAL Applications

Mora, Niccolò;Bianchi, V.;De Munari, I.;Ciampolini, P.
2014

Abstract

A Brain-Computer Interface (BCI) is an alternative/augmentative communication device that can provide users (for example, individuals lacking voluntary muscle control) with an interaction path, based on the interpretation of his/her brain activity. In this paper, the design and implementation of a flexible, low-cost BCI development platform is presented; this platform could serve as a workbench to develop compact, standalone BCI embedded modules, specifically targeted to (even if not limited to) AAL control purposes. First, a low-cost, custom, bio-potential acquisition unit was realized; then, a Matlab-based environment was developed for EEG (ElectroEncephaloGram) signal analysis and processing. An application example involving a 4-class SSVEP-based BCI is presented, along with a novel classification algorithm which achieved 94.7% classification accuracy.
978-3-319-01118-9
978-3-319-01119-6
Brain.me: A Low-Cost Brain Computer Interface for AAL Applications / Mora, Niccolò; Bianchi, V.; De Munari, I.; Ciampolini, P.. - STAMPA. - (2014), pp. 223-231. [10.1007/978-3-319-01119-6_23]
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11381/2877260
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