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Dalhoumi, Sami, Dray, Gerard, Montmain, Jacky, Derosiere, Gerard, 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: | https://mural.maynoothuniversity.ie/id/eprint/9756 |
| 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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