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Browsing by Autor "Avinash Kumar Singh"

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    A functional BCI model by the P2731 working group: control interface
    (Taylor & Francis, 2021) Chuck Easttom; Luigi Bianchi; Davide Valeriani; Chang S. Nam; Ali A. Hossaini; Dariusz Zapała; Avid Roman–Gonzalez; Avinash Kumar Singh; Alberto Antonietti; Guillermo Sahonero-Alvarez
    In order to facilitate communication and collaboration between researchers, Brain–computer interfaces (BCI) require a generally applicable functional model as well as a common vocabulary. The IEEE P2731 working group is in the process of developing such a functional model and a lexicon of BCI terminology. Such a functional model has multiple aspects including the control interface, physiology, transducers, etc. This current paper focuses on the control interface aspects of that model. Having a generally applicable control interface model will facilitate interdisciplinar y research and communication. The control interface is a critical part of the functional model and is described in this current paper. The control interface presented intentionally is intentionally kept general in order to be widely applicable. Some details are specific to a particular application and are thus left to those applications. It does contain the encoder (which also contains a decoder), with a feedback submodule.
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    A Functional BCI Model by the P2731 Working Group: Transducer
    (Taylor & Francis, 2021) Guillermo Sahonero-Alvarez; Avinash Kumar Singh; Kamran Sayrafian; Luigi Bianchi; Avid Roman–Gonzalez
    A Brain-Computer Interface (BCI) can be considered as a technology that allows for alternative means of communication between humans and their environment using thoughts and intentions. The structure of this interface is composed of various stages, beginning with the acquisition of the brain signals, followed by several processing stages, and leading to the generation of feedback signals. The development of a BCI system involves a diverse set of expertise in order to produce a unique environment for continuous innovations. However, such diversity in technical background and expertise may lead to confusion in the terminology used by the community. As such, the IEEE P2731 WG has been tasked with the development of a functional model to facilitate the understanding of a BCI system. In this paper, we focus on the description of the functional elements that belong to the transducer stage of a BCI.
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    A Functional Model for Unifying Brain Computer Interface Terminology
    (Institute of Electrical and Electronics Engineers, 2021) Chuck Easttom; Luigi Bianchi; Davide Valeriani; Chang S. Nam; Ali A. Hossaini; Dariusz Zapała; Avid Roman–Gonzalez; Avinash Kumar Singh; Alberto Antonietti; Guillermo Sahonero-Alvarez
    Brain Computer Interface (BCI) technology is a critical area both for researchers and clinical practitioners. The IEEE P2731 working group is developing a comprehensive BCI lexicography and a functional model of BCI. The glossary and the functional model are inextricably intertwined. The functional model guides the development of the glossary. Terminology is developed from the basis of a BCI functional model. This paper provides the current status of the P2731 working group's progress towards developing a BCI terminology standard and functional model for the IEEE.
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    Towards Bridging the Gap Between Computational Intelligence and Neuroscience in Brain-Computer Interfaces With a Common Description of Systems and Data
    (Frontiers Media, 2021) Avinash Kumar Singh; Guillermo Sahonero-Alvarez; Mufti Mahmud; Luigi Bianchi
    OPINION article Front. Neuroinform., 23 August 2021 | https://doi.org/10.3389/fninf.2021.699840

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