Brain-Computer Interface as Networking Entity in Body Area Networks - Archive ouverte HAL Access content directly
Conference Papers Year : 2015

Brain-Computer Interface as Networking Entity in Body Area Networks

(1, 2) , (2)
1
2

Abstract

Modern BCIs are non-invasive, wireless, wearable and EEG-based systems capable to transduce brain signals into cognitive information and stream it out in form of data. BCIs have rarely been considered as part of the network. Thus, data communication approaches have not even tried. The consequence is a suboptimal communication in terms of performance, usability and reliability. In this paper we present BCI as a paradigm in Wireless Body Area Networks (WBANs) that interfaces multisensorial sources with the user brain. The BCI-WBAN concept treats cognitive processes as communication end-points in which sensorial information is consumed by cognitive processes. In the context of WBAN, BCIs implement the functionalities of the lower layers of communication open system: signal transduction into data, access control to the physical and cognitive media and data transmission. The BCI-WBAN paradigm extends the scope of WBAN from mere biosignal sensing by adding interpretation of neural correlates of cognitive information.
Fichier principal
Vignette du fichier
346846_1_En_20_Chapter.pdf (987.62 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01728816 , version 1 (12-03-2018)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

M. A. Lopez-Gordo, F. Pelayo Valle. Brain-Computer Interface as Networking Entity in Body Area Networks. 13th International Conference on Wired/Wireless Internet Communication (WWIC), May 2015, Malaga, Spain. pp.274-285, ⟨10.1007/978-3-319-22572-2_20⟩. ⟨hal-01728816⟩
91 View
169 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More