• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.12
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• pp.2575-2581
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• 2011

Recently, systematic research on the brain has been conducted and BCI(Brain -Computer Interface) technology applying electroencephalogram has been actively researched. Especially, serious game technology using BCI device has been the subject of interest. This paper develops a "twosome collaboration dance game," which is a serious game that takes advantage of NeuroSky's SDK(System Development Kit) and helps developing the spirit of team work and sociality based on attention and meditation, unlike existing single player games. We expect that this game will help to visualize brain functions of people and to cure ADHD children and the elderly people with MCI(Mild Cognitive Disorder). It is also expected to play a role of social catalyst to the game culture of the adolescent.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.4
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• pp.1302-1320
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• 2015

In cloud, everything can be provided as a service wherein a large number of users submit their jobs and wait for their services. hus, scheduling plays major role for providing the resources efficiently to the submitted jobs. The brainwave of the proposed ork is to improve user satisfaction, to balance the load efficiently and to bolster the resource utilization. Hence, this paper roposes an Adaptive Multilevel Scheduling System (AMSS) which will process the jobs in a multileveled fashion. The first level ontains Preprocessing Jobs with Multi-Criteria (PJMC) which will preprocess the jobs to elevate the user satisfaction and to itigate the jobs violation. In the second level, a Deadline Based Dynamic Priority Scheduler (DBDPS) is proposed which will ynamically prioritize the jobs for evading starvation. At the third level, Contest Mapping Jobs with Virtual Machine (CMJVM) is roposed that will map the job to suitable Virtual Machine (VM). In the last level, VM Scheduler is introduced in the two-tier VM rchitecture that will efficiently schedule the jobs and increase the resource utilization. These contributions will mitigate job iolations, avoid starvation, increase throughput and maximize resource utilization. Experimental results show that the performance f AMSS is better than other algorithms.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.4
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• pp.1436-1441
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• 2010

This research is about the effect on children's brain before and after learning Baduk. The research was performed on 20 pupils attending I Baduk school with the contrast group of 20 pupils who did not take Baduk instruction. The pre-test on the brain waves before learning Baduk were measured from October 27, 2008 to November 7, 2008 and the post-test on the brainwaves after learning Baduk were measured from November 2, 2009 to November 4, 2009. The result confirmed the differences of both resistance activity quotient and emotion quotient. The result of the study suggest baduk study possibility in positively affecting the subjects' brain activation and emotion.

• Journal of Engineering Education Research
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• v.18 no.6
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• pp.64-69
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• 2015

A video-work story analysis system based on emotional state measurement includes a content provision unit which provides story content of a video-work, a display unit which displays content provided by the content provision unit, an emotional state measurement unit which measures a tense-relaxed emotional state of a viewer viewing the displayed story content, a story pattern analysis unit which analyzes the tense-relaxed emotional state measured from the emotional state measurement unit according to a scene in the story content provided by the content provision unit, and a story pattern display unit which prints out an analysis result or displays the analysis result as an image. The emotional state measurement unit measures a tense or relaxed emotional state through one or more analyses among a brainwave analysis, a vital sign analysis, or an ocular state analysis. A writer may obtain support in an additional scenario modification work, and an investor may obtain support in making a decision through the above description. Furthermore, the video-work story analysis system and analysis method based on emotional state measurement may extract a particular pattern with respect to a change in an emotional state of a viewer, compile statistics, and analyze a correlation between a story and an emotional state.

• Journal of Korea Multimedia Society
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• v.19 no.4
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• pp.756-764
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• 2016

In this paper, we present electroencephalography (EEG)-based power spectra analysis and auditory stimuli methods as coping mechanisms for disgust affection and phobia. Disgust affection is a negative emotion generated from trying to eliminate something harmful to one. It is usually related to mental illnesses such as obsessive-compulsive disorder, specifically phobia and depression. In our experiments, participants watched videos on horrible body mutilation and disgusting creatures, with either the original sound track or relaxing and exciting music as auditory stimulation. After watching the videos with original sound track, the participants watched the same video with a different audio background, such as soothing or cheerful music. We analyzed the EEG data utilizing relative power spectra and examined survey results of the participants. The results demonstrated that disgust affection is decreased when participants watched the video with relaxing or exciting music instead of the original soundtracks. Moreover, we confirmed that human's brainwave reacts according to types of audio and sources of disgust affection.

• Child Health Nursing Research
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• v.14 no.3
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• pp.315-324
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• 2008

Purpose: This study was done to determine the effects of a neurofeedback program on brain function and stress in occupational high school students. Method: A nonequivalent control group, non-synchronized with pre-posttest design was used with 62 students. Data collection was done from July to December, 2007. The neurofeedback training was given for 30 minutes at a time, three times a week for 12 weeks. Brain function was measured by brain waves in the frontal lobes of the students and analyzed by eight brain quotients characterizing patterns of EEG rhythms. The instrument used to measure stress was a scale for stress from regular daily life. Results: After neurofeedback training, the level of brain quotients in students in the experiment group increased(t=2.36, p<.05) and the level of stress decreased(t=-3.59, p<.001). Conclusion: The results of the study suggested that a neurofeedback program is effective for brain function improvement and stress reduction in high school students. Therefore, the conclusion of this study is that neurofeedback programs can be useful to increase brain function and decrease stress in occupational high school students.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.11
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• pp.7508-7512
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• 2015

We propose a brain-machine interface(BMI) based human-robot interaction(HRI) platform which operates machines by interfacing intentions by capturing brain waves. Platform consists of capture, processing/mapping, and action parts. A noninvasive brain wave sensor, PC, and robot-avatar/LED/motor are selected as capture, processing/mapping, and action part(s), respectively. Various investigations to ensure the relations between intentions and brainwave sensing have been explored. Case studies-an interactive game, on-off controls of LED(s), and motor control(s) are presented to show the design and implementation process of new BMI based HRI platform.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.3
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• pp.1066-1070
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• 2010

This study was to examine the effectiveness of Neurofeedback training by observing the pre and post brain wave measurement results of about S kindergarten kids 40 (experimental group 20 comparative group 20) subjects who have shown resistance stress, in between the months of Jan. 2008 and Dec. 2008. As the brain waves are adjusted by time series linear analysis, the result confirmed the differences of both resistance stress. The result of the study suggest Neurofeedback technique's possibility in positively affecting the subjects' mental state.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.83-90
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• 2018

Recently, many people have suffered from insomnia, labor loss, cognitive decline, and mental illness. The solution to this problem is almost entirely cognitive therapy or medication, but it is not recommended in the long term due to side effects and dependency problems. Therefore, in this paper, we propose a neuro feedback system based on portable EEG that helps induce sleeping. We design and evaluate the EEG classifier, which is the most important function to implement the system, and propose an optimized classifier modeling method for various factors that can affect performance. When using the proposed classifier, we could distinguish 97.9% of awakening and sleep phase in portable EEG.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.19-22
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• 2022

In this work, we studied consumers' attractiveness/usefulness perceptions (CAUP) of online commerce product photos when exposed to alternative dark/light user interface (UI) modes. We analyzed time-series EEG data from 31 individuals and performed neuroscience mining (NSM) to ascertain (a) how the CAUP of products differs among UI modes; and (b) which deep learning model provides the most accurate assessment of such neuroscience mining (NSM) business difficulties. The dark UI style increased the CAUP of the products displayed and was predicted with the greatest accuracy using a unique EEG power spectra separated wave brainwave 2D-ConvLSTM model. Then, using relative importance analysis, we used this model to determine the most relevant power spectra. Our findings are considered to contribute to the discovery of objective truths about online customers' reactions to various user interface modes used by various online marketplaces that cannot be uncovered through more traditional research approaches like as surveys.