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http://dx.doi.org/10.14400/JDC.2019.17.2.155

The Brainwave Analysis of Server System Based on Spring Framework  

Choi, Sung-Ja (Dept. of Multimeida Engineering, Hannam University)
Kim, Gui-Jung (Division of Information & Communication, Baeseok University)
Kang, Byeong-Gwon (Dept. of Information and Communication Engineering, Soonchunhyang University)
Publication Information
Journal of Digital Convergence / v.17, no.2, 2019 , pp. 155-161 More about this Journal
Abstract
Electroencephalography (EEG), a representative method of identifying temporal and spatial changes in brain activity, is a voluntary electrical activity measurable in the human scalp. Various interface technologies have been provided to control EEG activity, and it is possible to operate a machine such as a wheelchair or a robot through brainwaves. The characteristics of EEG data are collected in various types of channels in real time, and a server system for analyzing them is required to have an independent and lightweight system for the platform. In these days, the Spring platform is used as a large business server as an independent, lightweight server system. In this paper, we propose an EEG analysis system using the Spring server system. Using the proposed system, the reliability of EEG control can be enhanced, and analysis and control interface expansion can be provided in various aspects such as game and medical areas.
Keywords
Brainwaves; EEG; BCI; SPRING MVC; MAVEN;
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