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Keyword: Gray association degreeOpen AccessArticle
4 Pages, 717 KB 
An Electroencephalogram Analysis Method to Detect Preference Patterns Using Gray Association Degrees and Support Vector Machines
Abstract:
This paper introduces an electroencephalogram (EEG) analysis method to detect preferences for particular sounds. Our study aims to create novel brain–computer interfaces (BMIs) to control human mental (NBMICM), which are used to detect human mental conditions i.e., preferences, thinking, and consciousness, choose stimuli to control these mental conditions, and evaluate these choices. It is important…
Read More(This article belongs to the SP5 (Special Issue on Multidisciplinary Sciences and Engineering 2018) & Section Artificial Intelligence in Computer Science (CAI))