• The Korean Journal of Applied Statistics
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• v.37 no.2
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• pp.139-155
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• 2024

This study performed a multi-classification task to classify mesial temporal lobe epilepsy with left hippocampal sclerosis patients (left mTLE), mesial temporal lobe epilepsy with right hippocampal sclerosis (right mTLE), and healthy controls (HC) using magnetoencephalography (MEG) data. We applied various artificial neural networks and compared the results. As a result of modeling with convolutional neural networks (CNN), recurrent neural networks (RNN), and graph neural networks (GNN), the average k-fold accuracy was excellent in the order of CNN-based model, GNN-based model, and RNN-based model. The wall time was excellent in the order of RNN-based model, GNN-based model, and CNN-based model. The graph neural network, which shows good figures in accuracy, performance, and time, and has excellent scalability of network data, is the most suitable model for brain research in the future.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.695-696
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• 2023

본 논문은 뇌-컴퓨터 인터페이스(BCI)를 활용한 게임 개발을 통해 집중력 부족 문제를 해결하기 위한 방안을 제시한다. BCI 기술은 사용자의 뇌파 신호를 분석하여 게임에 적용할 수 있으며, 그에 따라 뇌파 신호를 활용한 집중력 향상을 도모해 볼 수 있는 게임을 설계하였다. Unity 게임 개발 환경과 Emotiv Insight 장비를 사용하여 게임을 구현하였으며, 사용자는 뇌파 신호를 통해 플레이어를 제어하여 게임을 즐길 수 있다. 연구 결과는 뇌파 기반 게임이 사용자의 집중력 향상에 도움을 줄 수 있는 잠재력을 보여준다.

• Trans-
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• v.12
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• pp.21-49
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• 2022

This study examines the possibility of chronic brain disease rehabilitation treatment using VR/AR technology and raises the research need for the development of digital therapeutics. In addition, by proposing a digital therapeutic research and development process this study intends to contribute to the development of VR/AR rehabilitation treatment. To this end, this study identified research trends of VR/AR technology, neurophysiology, and chronic brain disease and proposed a method for applying VR/AR technology to treat chronic brain disease patients in three stages. The first stage is to prepare a neurophysiological basis for rehabilitation treatment of brain disease patients using VR technology. The second stage is to provide a treatment method using VR/AR technology and systematize the contents characteristics. The third stage is to conduct clinical trails and validate that the treatment method and contents utilization is effective for the patient. It is hope that this study serves as a guide for developing media production base technology for treating patient with a chronic brain disease.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.525-530
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• 2019

Electroencephalography(EEG) studies that have been in clinical research since the discovery of brainwave have recently been developed into brain-computer interface studies. Currently, research is underway to manipulate robot arms and drones by analyzing brainwave. However, resolution and reliability of EEG information is still limited. Therefore, it is required to develop various technologies necessary for measuring and interpreting brainwave more accurately. Pioneering new applications with these technologies is also important. In this paper, we propose development of a personal authentication system fit for lifecaretainment based on EEG. The proposed system guarantees the resolution and reliability of EEG information by using the Electrooculogram and Electromyogram(EMG) together with EEG.

• Therapeutic Science for Rehabilitation
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• v.8 no.4
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• pp.41-51
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• 2019

Objective : The purpose of this study was to investigate the effects of virtual reality-based activities of daily living (ADL) training on ADL and rehabilitative motivation in patients with traumatic brain injury. Methods : This study was performed using a pre-post design with seven traumatically brain injured patients. Subjects were subjected to virtual reality-based ADL training for 30 minutes a day, 2 to 3 times a week for 4 weeks. Evaluation was conducted before and after the intervention using the Korean Modified Barthel Index (K-MBI), Cognitive Functional Independence Measure (C-FIM), and Volitional Questionnaire (VQ). Changes before and after intervention were analyzed by Wilcoxon signed-rank test, and correlations were analyzed using Spearman's coefficient. Results : After intervention, patients with traumatic brain injury showed significant improvements in K-MBI (p<.05). There was no significant change in total C-FIM score and VQ score (p>.05). Total C-FIM score correlated significantly with VQ score (p<.05, r=.755). The social cognition domain of C-FIM had a significant correlation with VQ score (p<.05, r=826). Conclusions : Virtual reality-based ADL training can improve ADL performance, but further research is needed to determine whether improvements in social cognition and rehabilitative motivation are possible.

• Journal of Internet of Things and Convergence
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• v.9 no.6
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• pp.17-22
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• 2023

Brain-Machine Interfaces(BMI) are interfaces that control machines by decoding brainwaves, which are electrical signals generated from neural activities. Although BMIs can be applied in various fields, their widespread usage is hindered by the low portability of the hardware required for brainwave measurement and decoding. To address this issue, previous research proposed a brain-machine interface system based on the Internet of Things (IoT) using cloud computing. In this study, we developed and tested an application that uses brainwaves to control the Pong game, demonstrating the real-time usability of the system. The results showed that users of the proposed BMI achieved scores comparable to optimal control artificial intelligence in real-time Pong game matches. Thus, this research suggests that IoT-based brain-machine interfaces can be utilized in a variety of real-time applications in everyday life.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.405-412
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• 2018

When a film company decides whether to invest or not in a scenario is the appropriate time to predict box office success. In response to market demands, AI based scenario analysis service has been launched, yet the algorithm is by no means perfect. The purpose of this study is to present a prediction model of movie scenario's box office hit based on human brain processing mechanism. In order to derive patterns of visual, auditory, and cognitive stimuli on the time spectrum of box office animation hit, this study applied Weber's law and brain mechanism. The results are as follow. First, the frequency of brain stimulation in the biggest box office movies was 1.79 times greater than that in the failure movies. Second, in the box office success, the cognitive stimuli codes are spread evenly, whereas in the failure, concentrated among few intervals. Third, in the box office success movie, cognitive stimuli which have big cognition load appeared alone, whereas visual and auditory stimuli which have little cognitive load appeared simultaneously.

• Cartoon and Animation Studies
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• s.38
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• pp.71-91
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• 2015

This study is a process to study the life drawing teaching method considering professional characteristics in animation and has a study objective to design the model and teaching method which applies the strategies considering the creative mechanism of the brain. Recently, study results about integrated teaching method are being announced which apply brain based learning principles as the alternative arguments about teaching methods in each area based on creativeness. In other words, integrated education based on creative mechanism in the brain is applied not only to fine arts and drawing education, but also to the entire areas of the arts. Life drawing is an area which demands comprehensive teaching method that vivid expressions could be skillfully obtained by understanding the communication methods with the objects through cognitive senses, creativeness and movements beyond the structural knowledge about human body. Therefore in this study, the strategies and methods for the skillfulness of life drawing and consequently arranged education model structure drawing are to be designed based on the creativeness, study materials and content factors which were analyzed in previous stages of this study. In order to combine the content factors based on creativeness and study materials of the brain which are the results of previous studies, the conclusion has been reached that 5 step cognitive strategy stages to wake brain senses, flexibilize the brain, purify the brain, integrate the brain and become the master of the brain. Strategic methods to execute this were designed with brain gym, right brain energization drawing and HSP(high-level cognizance) training. Teaching and learning model structure diagram which is designed based on this is to be continued to teaching and learning guidelines during the relevant semesters after the research.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.05c
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• pp.160-163
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• 2002

본 연구는 의료영상 중에 가장 많이 사용하는 의료 영상인 MR영상 중에서 머리 부위의 질병인 뇌종양에 대한 진단을 돕기 위한 연구이다. 뇌 MR영상의 T2강조 영상을 살펴보면, 종양 영역은 명암이 밝게 나타나고 종양 영역의 주변은 어둡게 나타나는 특성을 볼 수 있다. 따라서 제안된 방법은 뇌종양 특성인 명암의 밝기 정보를 기반으로 비정상 영역 내에서 명암 정보가 유사한 영역끼리 그룹화하고 그 중에 가장 밝은 영역을 종양 후보 영역으로 추출한 후 각 후보 영역들 중에서 MBR이 가장 큰 것을 종양으로 검출한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.240-248
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• 2020

Over the past 20 years, brain science has developed rapidly thanks to new technologies such as functional magnetic resonance imaging (fMRI), leading to more accurate knowledge of human nature and behavioral changes. This knowledge is also actively applied in the field of management. This research aimed to gain insights into how neuroscience can be incorporated into management through the case of Midas IT Co. This construction software company has a separate organization with the purpose of studying brain science, and it makes and implements human resource management policies based on brain science. The founder Lee Hyung-woo has a humanist management philosophy, and the company's brain science research supports that philosophy. The case study method was adopted as the research method, and procedures such as interviews and direct observation, participation observation, and document information were carried out. The company's human resource management system can be explained by a brain science model called "SCARF", which combines various neuroscience discoveries. As this model suggests, the company has improved the trust and satisfaction of its members by reducing threat of status and by increasing certainty, autonomy, relationship, and fairness in the workplace, resulting in the creation of a platform for creativity, integrity, and high performance.