• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.100.3-100
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• 2002

This paper presents the method for detection and tracking of multiple humans robustly in mobile platform. The perception of human is performed in real time through the processing of images acquired from a moving stereo vision system. We performed multi-cue integration such as human shape, skin color and depth information to detect and track each human in moving background scene. Human shape is measured by edge-based template matching on distance transformed image. Improving robustness for human detection, we apply the human face skin color in HSV color space. And we could increase the accuracy and the robustness in both detection and tracking by applying random sampling stochastic estimati...

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.3
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• pp.364-371
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• 2014

The purpose of this paper is to review recent developments in lower limb exoskeletons. The exoskeleton system is a human-robot cooperation system that enhances the performance of the wearer in various environments while the human operator is in charge of the position control, contextual perception, and motion signal generation through the robot's artificial intelligence. This system is in the form of a mechanical structure that is combined to the exterior of a human body to improve the muscular power of the wearer. This paper is followed by an overview of the development history of exoskeleton systems and their three main applications in military/industrial field, medical/rehabilitation field and social welfare field. Besides the key technologies in exoskeleton systems, the research is presented from several viewpoints of the exoskeleton mechanism, human-robot interface and human-robot cooperation control.

• Journal of Korea Multimedia Society
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• v.21 no.12
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• pp.1459-1466
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• 2018

Robots which detect human and recognize action are important factors for human interaction, and many researches have been conducted. Recently, deep learning technology has developed and learning based robot's technology is a major research area. These studies require a database to learn and evaluate for intelligent human perception. In this paper, we propose a multi-modal sensor-based image database condition considering the security task by analyzing the image database to detect the person in the outdoor environment and to recognize the behavior during the running of the robot.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.282-290
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• 2022

A huge budget is spent on technological solutions to protect Information Systems from cyberattacks by organizations. However, it is not enough to invest alone in technology-based protection and to keep humans out of the cyber loop. Humans are considered the weakest link in cybersecurity chain and most of the time unaware that their actions and behaviors have consequences in cyber space. Therefore, humans' aspects cannot be neglected in cyber security field. In this work we carry out a systematic literature review to identify human factors in cybersecurity. A total of 27 papers were selected to be included in the review, which focuses on the human factors in cyber security. The results show that in total of 14 identified human factors, risk perception, lack of awareness, IT skills and gender are considered critical for organization as for as cyber security is concern. Our results presented a further step in understanding human factors that may cause issues for organizations in cyber space and focusing on the need of a customized and inclusive training and awareness programs.

• Korean Institute of Interior Design Journal
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• no.36
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• pp.128-135
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• 2003

The purpose of this study was to analyze the perception of wayfinding in public interior space. According to this study, a virtual reality simulation test was conducted to examine the effect of wayfinding. Theoretical research was used to explain the psycho-physiological effect of visual perception and case study was carried out to evaluate the physiological response of the subjects. For the physiological evaluation, two simulations with sign and color sample were chosen and the EEG was Used. Data were collected from May 15th. to June 15th. The subjects were 20 students of architecture department and frequency, percentage, ANOVA, T-test, multiple comparisons were used for data analysis.

• Journal of the Korean Home Economics Association
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• v.43 no.9 s.211
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• pp.59-70
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• 2005

This study examined the association among personality, conflict strategies, and marital conflict. The subjects were 279 married women who completed a questionnaire for 4 personality types(extraversion-introversion, sensing-intuition, thinking-feeling, and judgement-perception), 5 conflict strategies(dominance, integration, compromise, avoidance, and smoothing over), and marital conflict. The results of this study were as follows: 1) Among the women of thinking-feeling type women, the thinking group tended to use more dominance conflict strategy than the feeling group. Among the women of judgement-perception type women, the judgement group tended to use more compromise conflict strategy than the perception group. 2) Results of hierarchical regression analysis revealed that two conflict strategies (dominance and compromise), two personality types (extraversion-introversion and sensing-intuition), and income were significant predictors of marital conflict for married women. Overall, we can conclude that marital conflict is more affected by the strategies for dealing with conflict than by individual personality.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.42.3-42
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• 2002

Fuzzy Neural Network (FNN) is a compulsory element in a voice-controlled machine due to its inherent capability of interpreting imprecise natural language commands. To control such a machine, user's perception of imprecise words is very important because the words' meaning is highly subjective. This paper presents a voice based controller centered on an adaptable FNN to capture the user's perception of imprecise words. Conversational interface of the machine facilitates the learning through interaction. The system consists of a dialog manager (DM), the conversational interface, a Knowledge base, which absorbs user's perception and acts as a replica of human understanding of imprecise words,...

• Journal of the Korean Institute of Telematics and Electronics C
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• v.34C no.3
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• pp.37-47
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• 1997

Human observers perceive a contour where no line or edge is given (subject contour), such as the border between gratings of thin lines offset by half a cycle. Subjective contours occur in a wide variety of circumstances in nature. A common factor in all such figures in the perception of a surface(contour) occuluding part of a background, i.e. subject contours are always accompanied by subject surfaces. Some examples about these kinds of figures are given by kanizsa trangle or square. Ph;ysiological observations are reported in which the perceptual phenomenon that some simple examples of subject contours are perceived as images (gigures; contours) through physiological experiments was investgated. In this paper, we proposed a neural network extracting the induce dstimuli for the perception of subject contours based on the visual mechnism. This visual mechnism is proposed by hubel & wiesel's paper.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.1827-1830
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• 2003

본 논문은 인간의 Perception을 기준으로 인간이 구분할 수 있는 다양한 Display들의 Color Gamut 체적들을 정량적으로 평가하는 방법을 제안하였다. 기존의 Color Gamut의 크기를 구하는 방법은 CIE-u'v' 좌표계에서 R, G, B Primaries의 좌표에 해당하는 꼭지점으로 이루어진 삼각형의 넓이를 구함으로써 표현할 수 있는 Color의 개수를 구하였다 그러나 이 방법은 CIE-UCS Chart 자체가 2 Dimension이고, Non-Uniform Color Space이므로 정확하게 구했다고 할 수 없다. 이를 해결하기 위하여 본 논문에서는 Uniform Color Space 인 CIE-L/sup */a/sup */b/sup */ 좌표계에서 3 차원 공간에서 Color의 개수를 구함으로써, 구분할 수 있는 Color Gamut의 체적을 인간의 Perception을 기준으로 평가하는 정량적인 기법에 대해 논하였고, 이를 4종류의 다양한 Display Type들에 적용, 그 결과를 비교하였다.

• Proceedings of the Korean Institute of Interior Design Conference
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• 1999.04a
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• pp.61-64
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• 1999

Environmental design should be based on the positive theory, a researcher structured symbolic aesthetics on the basis of positive perception theory. Symbolic aesthetics by ecological theory of perception, human preference is related to existence and the formation of place-identity and cognitive map is dealt importantly in this study. Symbolic aesthetics is a study on environmental meaning and a researcher understood the operation of environmental meaning by regarding symbology as a methodological frame and defined architecture as a visual language system after discussing the importance of signified.