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Author/Affiliation: Minoru FukumiOpen AccessArticle
6 Pages, 1,341 KB 
Verification of the Usefulness of Personal Authentication with Aerial Input Numerals Using Leap Motion
Abstract:
With the progress of IoT, everything is going to be connected to the network. It will bring us a lot of benefits however some security risks will be occurred by connecting network. To avoid such problems, it is indispensable to strengthen security more than now. We focus on personal authentication as one of the security.…
Read More(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
Open 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))