NDLI: Evaluation and Performance Assessment of the Brain

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Evaluation and Performance Assessment of the Brain–Computer Interface System

Content Provider	Scilit
Author	Mowla, Rakibul Huggins, Jane E. Thompson, David E.
Copyright Year	2018
Description	Performance assessment has a pivotal role in the development of brain–computer interface (BCI) systems and algorithms. A large number of performance-measuring metrics exist in the literature, and the choice of best metric may be difficult for researchers. The main objective of this chapter is to demonstrate different performance assessment criteria as well as to report the most widely accepted system performance metrics. This chapter will also help readers to choose suitable performance-measuring metrics for a specific type of BCI. Performance measurement and evaluation criteria are different for discrete and continuous BCIs; these systems will be discussed separately. The chapter should help researchers and BCI system developers to compare systems side by side with existing technologies. Book Name: Brain–Computer Interfaces Handbook
Related Links	https://content.taylorfrancis.com/books/download?dac=C2015-0-79394-9&isbn=9781351231954&doi=10.1201/9781351231954-33&format=pdf
Ending Page	650
Page Count	16
Starting Page	635
DOI	10.1201/9781351231954-33
Language	English
Publisher	Informa UK Limited
Publisher Date	2018-01-09
Access Restriction	Open
Subject Keyword	Book Name: Brain–Computer Interfaces Handbook Environmental Studies Performance Assessment Performance Measuring
Content Type	Text
Resource Type	Chapter

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