Dalhoumi, Sami and Dray, Gerard and Montmain, Jacky and Derosiere, Gerard and Perrey, Stephane and Ward, Tomas E. (2013) Methods of pattern classification for the design of a NIRS-based brain computer interface. Discussion Paper. UNSPECIFIED.

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Abstract

Brain-Computer Interface (BCI) is a communication system that offers the possibility to act upon the surrounding environment without using our nervous systems efferent pathways. One of the most important parts of a BCI is the pattern classification system which allows to translate mental activities into commands for an external device. This work aims at providing new pattern classification methods for the development of a Brain Computer Interface based on Near Infrared Spectroscopy. To do so, a thorough study of machine learning techniques used for developing BCIs has been conducted.

Item Type:	Monograph (Discussion Paper)
Keywords:	brain-computer interfaces; near infrared spectroscopy; pattern classification; machine learning;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering
Item ID:	9756
Depositing User:	Dr Tomas Ward
Date Deposited:	08 Aug 2018 14:16
URI:
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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