• Proceedings of the Korean Information Science Society Conference
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• 2010.06b
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• pp.43-46
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• 2010

지능형 로봇의 인간-로봇 상호작용(Human-Robot Interaction)은 현재 세계적으로 주목받는 연구 분야 중 하나이다. 이 논문에서는 지능형 로봇의 작업 완결성을 높이기 위한 방편의 일환으로 사용자에게 작업 내용을 공개하고, 문제 발생 시 사용자의 개입을 유도하는 형태의 인간-로봇 상호작용을 제안한다. 이러한 형태의 서비스는 지능형 로봇이 작업 수행 중 필요한 경우 사용자의 선택 통해 예상치 못한 상황에 대해 유연한 대처를 할 수 있으며, 동시에 로봇의 현재 상황을 사용자가 확인할 수 있도록 하는 수단을 제공한다. 이를 위해 이 논문은 Android 플랫폼과 로봇 간의 로봇-사용자 정보교환을 구현하고, 나아가 범용적이고 일반적인 인간-로봇 상호작용을 위한 연구방향을 제시하고자 한다.

• International Journal of Computer Science & Network Security
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• v.21 no.1
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• pp.162-173
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• 2021

The Honeypot is the mechanism that is made to learn more about the attackers like knowing about the method and pattern of attack and is also used to obtain very useful info about all intrusive activities. Honeypots usually categorized according to the interaction's level as (high, medium, low) interaction. The main purpose which is used as honey production and honey research. This paper includes a detailed study of two honeypot tools. The different honey pot findings are put in in this paper to illustrate how honey is working in a real environment and even how it reacts when undesirable interest obtain in this network, and these tools are used to improve the concept of security, protection and confidentiality within or outside the organization to avoid attacks, vulnerabilities and breaches.

• Journal of the Korea Computer Graphics Society
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• v.17 no.1
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• pp.17-24
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• 2011

In Computer Graphics, interaction between a particle-based fluid and a rigid body is important. In General, this interaction has been simulated in a discrete environment. As a result, there have been lots of errors. The larger the time step is used, the bigger the error is. This paper describes how to minimize the error in a discrete environment. To be specific, the collision handling method is that estimates particle collision using a signed distance function increases continuously according to space. At the time a fluid particle and a rigid body model collide, the exact collision time and the position is estimated. Through this, we propose the method how to be simulated the interaction between a fluid and a rigid body model as a continuous environment.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.186-192
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• 2009

In this paper, we represent the recognition method for human frontal upper body pose. In HCI(Human Computer Interaction) and HRI(Human Robot Interaction) when a interaction is established the human has usually frontal direction to the robot or computer and use hand gestures then we decide to focus on human frontal upper-body pose, The two main difficulties are firstly human pose is consist of many parts which cause high DOF(Degree Of Freedom) then the modeling of human pose is difficult. Secondly the matching between image features and modeling information is difficult. Then using Pictorial Model we model the human main poses which are mainly took the space of frontal upper-body poses and we recognize the main poses by making main pose database. using determined main pose we used the model parameters for particle filter which predicts the posterior distribution for pose parameters and can determine more specific pose by updating model parameters from the particle having the maximum likelihood. Therefore based on recognizing main poses and tracking the specific pose we recognize the human frontal upper body poses.

• Journal of the HCI Society of Korea
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• v.1 no.1
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• pp.63-71
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• 2006

For many years, the approach taken towards HCI(Human Computer Interaction) has focused on the usability of system and technology. Advances in computing and information technology has shifted the way people use and experience technology from merely using it to enjoying using it. But, there is a lack of theories to conceptualize fun and user fun experience, in the HCI. This paper describes an conceptual approach to "fun" and user's 'fun experience' in the interaction of technology. This paper defines "fun" as positive psychological energy which is produced by playing computer. And this paper provides characteristics of 'Fun experience', which are action mode, random order, free, and activated pleasant. This study provides insights into factors contributing to and influencing fun experiences and the relationships between them; symbol, newness, and vividness.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.519-532
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• 2014

The emerging technologies for the natural computer interaction can give manufacturers new opportunities of product innovation. This paper is the study on a method of human communication about a finger gestures interaction. As technological advance has been so rapid over the last few decades, the utilizing products or services will be soon popular. The purpose of this experiment are as follows; What is the usefulness of gesture interaction? What is the cognitive impact on gesture interaction users. The finger gestures interaction consist of poking, picking and grasping. By measuring each usability in 2D and 3D space, this study shows the effect of finger gestures interaction. The 2D and 3D experimental tool is developed by using LeapMotion technology. As a results, the experiments involved 48 subjects shows that there is no difference in usability between the gestures in 2D space but in 3D space, the meaningful difference has been found. In addition, all gestures express good usability in 2D space rather than 3D space. Especially, there are the attractive interest that using uni-finger is better than multi-fingers.

• Education of Primary School Mathematics
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• v.5 no.1
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• pp.13-20
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• 2001

Interaction through communication plays critical role in the mathematics learning in the sociocultural perspectives. The communication make the students construct shared knowledge, and also plays a role of mediation in making meaning. So, we have to consider sociocultural eprspectives in design of the mathematics leaning using computer. While Computer Assisted Instruction was the one-directional teaching program which proceed from computer to students, mathematics leaning using computer in the sociocultural perspectives have to consider two-directional instruction that proceed from computer to students as well as from students to computer. This interactional activity is the critical thing in the mathematics learning using computer.

• JSTS:Journal of Semiconductor Technology and Science
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• v.17 no.3
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• pp.473-482
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• 2017

Hand gesture recognition is regarded as new Human Computer Interaction (HCI) technologies for the next generation of mobile devices. Previous hand gesture implementation requires a large memory and computation power for hand segmentation, which fails to give real-time interaction with mobile devices to users. Therefore, in this paper, we presents a low latency and memory-efficient hand segmentation architecture for natural hand gesture recognition. To obtain both high memory-efficiency and low latency, we propose a streaming hand contour tracing unit and a fast contour filling unit. As a result, it achieves 7.14 ms latency with only 34.8 KB on-chip memory, which are 1.65 times less latency and 1.68 times less on-chip memory, respectively, compare to the best-in-class.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.3
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• pp.255-263
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• 2006

In the last decade, face analysis, e.g. face detection, face recognition, facial expression recognition, is a very lively and expanding research field. As computer animated agents and robots bring a social dimension to human computer interaction, interest in this research field is increasing rapidly. In this paper, we introduce an artificial emotion mimic system which can recognize human facial expressions and also generate the recognized facial expression. In order to recognize human facial expression in real-time, we propose a facial expression classification method that is performed by weak classifiers obtained by using new rectangular feature types. In addition, we make the artificial facial expression using the developed robotic system based on biological observation. Finally, experimental results of facial expression recognition and generation are shown for the validity of our robotic system.

• Journal of Korea Multimedia Society
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• v.15 no.4
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• pp.501-507
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• 2012

Human body motion is a non-verbal part for interaction or movement that can be used to involves real world and virtual world. In this paper, we explain a study on natural user interface (NUI) in human hand motion recognition using RGB color information and depth information by Kinect camera from Microsoft Corporation. To achieve the goal, hand tracking and gesture recognition have no major dependencies of the work environment, lighting or users' skin color, libraries of particular use for natural interaction and Kinect device, which serves to provide RGB images of the environment and the depth map of the scene were used. An improved Camshift tracking algorithm is used to tracking hand motion, the experimental results show out it has better performance than Camshift algorithm, and it has higher stability and accuracy as well.