• Science of Emotion and Sensibility
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• v.8 no.4
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• pp.321-332
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• 2005

This study is about the effect on the user's cognitive stress by font size when they read on PDA (Personal Digital Assistant). The evaluation was done through both subjective evaluation and physiological one, which is brain wave test, while the research and analysis were focused on the relationship between the user's cognitive stress and font, size. The two final results were found out as follows. 1) Font sizes, which were tested, were 8, 10, 12, 14, and 16points. Among theses, font size 14 was the least stressful for the users. while the most stressful size was found out 8 points. 2) The cerebral cortex reaction according to the font size activated occipital lobe, parietal lobe of occipital visual area. Here we could come to a very important conclusion that the smaller font size on mobile information appliances mate users the more stressed.

• Journal of Internet Computing and Services
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• v.15 no.4
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• pp.9-20
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• 2014

Making good predictions about the outcome of one's actions would seem to be essential in the context of social interaction and decision-making. This paper proposes a computational model for learning articulated motion patterns for action recognition, which mimics biological-inspired visual perception processing of human brain. Developed model of cortical architecture for the unsupervised learning of motion sequence, builds upon neurophysiological knowledge about the cortical sites such as IT, MT, STS and specific neuronal representation which contribute to articulated motion perception. Experiments show how the model automatically selects significant motion patterns as well as meaningful static snapshot categories from continuous video input. Such key poses correspond to articulated postures which are utilized in probing the trained network to impose implied motion perception from static views. We also present how sequence selective representations are learned in STS by fusing snapshot and motion input and how learned feedback connections enable making predictions about future input sequence. Network simulations demonstrate the computational capacity of the proposed model for motion recognition.

• Archives of design research
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• v.15 no.3
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• pp.249-258
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• 2002

This study is about the effect on the user's cognitive stress by font size when they read on PDA(Personal Digital Assistant). The evaluation was done through both subjective evaluation and physiological one, which is brain wave test, while the research and analysis were focused on the relationship between the user's cognitive stress and font size. The two final results were found out as follows. 1) Font sizes, which were tested, were 8, 10, 12, 14, and 16 points. Among theses, font size 14 was the least stressful for the users, while the most stressful size was found out 8 points. 2) The cerebral cortex reaction according to the font size activated occipital lobe, parietal lobe of occipital visual area. Here we could come to a very Important conclusion that the smaller font size on mobile information appliances made users the more stressed.

• Journal of the Korean Society of Radiology
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• v.14 no.5
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• pp.585-595
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• 2020

Magnetic resonance imaging(MRI) has become an important technique for examining changes in human brain structure with neurological disorders. Brain development is a very complex process, and is affected by neurogenesiss and genetic programs. As age increases, structures of the brain change, which can contribute to the formation of brain diseases. Among the various factors, Gender is one of the greatest influential factors that affect the development of a healthy brain. The images were analyzed through various programs found in FSL such as SIENAX, FIRST, and Vertex analysis. Our results show that significant gender-related differences in subcortical areas were observed at the particular age group. The magnitude of these differences between gender and volume varied depending on the area investigated. In this study, we used more advanced 3T MRI for the structural analysis of subcortical structures between each gender. In addition, Vertex Analysis was used to visualize the volumetric differences in subcortical structures between each gender. This study is limited to groups in their 70s, therefore, further studies are needed for wider age groups.

• The Journal of the Korea Contents Association
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• v.9 no.4
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• pp.121-130
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• 2009

In this paper, feature extraction methods, which is one field of reducing dimensions of high-dimensional data, are empirically investigated. We selected the traditional PCA(Principal Component Analysis), ICA(Independent Component Analysis), NMF(Non-negative Matrix Factorization), and sNMF(Sparse NMF) for comparisons. ICA has a similar feature with the simple cell of V1. NMF implemented a "parts-based representation in the brain" and sNMF is a improved version of NMF. In order to visually investigate the extracted features, handwritten digits are handled. Also, the extracted features are used to train multi-layer perceptrons for recognition test. The characteristic of each feature extraction method will be useful when applying feature extraction methods to many real-world problems.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.33B no.1
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• pp.170-177
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• 1996

In this paper, we propose a neural network for extracting dashed lines from map images based on the feature extracting path be found in a cat and monkey's visual cortex. The proposed system converts a color image to a binary image and extracts the lines per orientation. Next, the system removes the lines longer than the dashed line and extracts the dashed lines by finding the consecutive short lines. The proposed system for extracting the dashed lines was tested using 1/25,000 scaled maps published by the National Geographic Institute of Korea. This paper shows that the proposed system can extract the dashed-lines from maps.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.210-213
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• 2011

기억 인출 단서는 학습을 통해 장기기억 공간에 저장된 정보를 인출하는 과정에서 중요하며, 서로 다른 종류의 기억 인출 단서에 따른 기억 인출 결과 및 이에 대한 인지 학습적 특성 규명은 교육, 범죄 수사, 그리고 인간의 뇌 기능을 모방한 기계학습 연구 등에서 중요하게 다루어져야 할 문제이다. 본 논문에서는 비디오 데이터를 이용하여 학습한 내용을 인출하는 과정에서 텍스트와 이미지가 각각 인출 단서로서 기억인출 결과에 미치는 영향을 분석하고, 기억 정보 및 시각 정보 처리와 관련된 뇌 영역에서의 뇌전도 분석을 이용하여 이를 해석하였다. 실험 결과를 통해 기억 인출을 위해 이미지-텍스트를 제시할 경우 전전두엽의 기억인출 관련 부위와 시각 피질이 위치한 후두엽의 인터랙션이 높게 이루어지면서 암묵적인 시각적기억 표상의 인출이 발생하는 것을 알 수 있었다.

• Korean Journal of Cognitive Science
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• v.13 no.1
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• pp.23-40
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• 2002

This study is to examine brain regions that are involved in picture encoding in normal adults using fMRI methods. In Scan 1, the picture encoding was studied during a semantic categorization task in comparison with word. In Scan 2 task type effects were studied both during a picture naming task and during a semantic categorization task with pictures. Subjects were asked to make decision either by pressing a mouse button (Scan 1) or by responding subvocally (naming or saying yes/no) (Scan 2). Regardless of stimulus type, left prefrontal, bilateral occipital, and parietal activations were observed during semantic processing in comparison with fixation baseline. Processing of word stimulus relative to picture resulted in activations in prefrontal and parieto-temporal regions in the left side while that of picture stimulus relative to word resultd in activations in bilateral extrastriatal visual cortices and parahippocampal regions. In spite of the same task demands, stimulus-specific information processings were involved and mediated by different neural substrates; the word encoding was associated with more semantic/lexical processings than pictures and the picture processing associated with more perceptual and novelty related information processings than word. Activations of dorsal part of inferior prefrontal region, i.e., Broca's areas were found both during the picture naming and during the semantic tasks subvocally performed Especially, during the picture naming task, greater occipital activations were found bilaterally relative to the semantic categorization task. indicating a possibility that greater and higher visual processing was involved in retrieving the name referred by picture stimuli.

• The Journal of the Korea Contents Association
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• v.5 no.6
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• pp.87-96
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• 2005

In this paper, a selective visual attention module based on motion stimuli is introduced for the purpose of detecting ROI(region of interest) or FOA(focus of attention) in motion pictures. Analysis of motion fields in our approach is in direct contrast to some of the previous studies of selective visual attention module. Motion that presents temporal visual saliency in an aspect between two successive frames is analyzed based on psychological studies in 'DORF(double opponent receptive fields)' and 'NF(noise filtration)' in MT(middle temporal cortex). Analyzed results are integrated based on the theory of 'motion integration' in MT to obtain a single conspicuous region. Experiments through a human subjective evaluation showed generally accepted results.

• Annual Conference on Human and Language Technology
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• 1995.10a
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• pp.164-168
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• 1995

SEJONG-NET은 시각 문자패턴의 인식 과정을 설명 할 수 있는 적절한 패러다임을 제공하기 위해 척추동물의 시신경계 구조와 기능을 모방하여 만든 문자인식 모형이다. 초기에는 온라인 한글 인식을 위하여 설계되었으며, 이후 다양한 문자 집합이나 오프라인 한글 문자를 위한 모뎀들이 개발되었다. 현재까지 개발된 여러 SEJONG-NET 모델이 가지고 있는 문제점은 정직성이라고 할 수 있다. 즉, 설계 초기에 고려한 인식 대상 문자 집합과 문자 패턴에 대해서만 인식이 가능하고, 변형된 패턴을 기존의 패턴으로 근사화하여 해석하거나 새로운 패턴에 대하여 그것을 추가 학습하는 것이 불가능하다. 따라서 본 논문은 SEJONG-NET의 이러한 제약점을 해결하여 한글 인식 문제에 일반적으로 적용될 수 있도록 개선하는 것을 목적으로 한다. 이를 위해 상위층에서는 인간이 가지고 있는 문자에 대한 구조적인 지식을 표현하고 학습을 통해 추가적으로 습득할 수 있는 형태로 구현하였고, 하위층에서는 상위층에서 쓰이는 구조적인 지식을 표현하는데 적합한 특징을 추출해 낼 수 있도록 구현하였다. 특히 하위층에서는 인간의 초기 시각 피질에서 감지되는 특징들을 추출하도록 구현하여 사용되는 특징이 일반성을 가질 수 있도록 하였다. 이러한 방법을 기반으로 하여 본 논문에서는 변형된 패턴에 대한 적응 학습 능력을 가지며 인지과학적인 사실에 보다 충실하도록 개선된, 온라인 한글 인식을 위한 SEJONG-NET 모델을 제안한다.