• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.808-811
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• 2009

Robovie-R2 [1], developed by ATR, is a 110cm high, 60kg weight, two wheel drive, human like robot. It has two arms with dynamic fingers. It also has a position sensitive detector sensor and two cameras as eyes on his head for recognizing his surrounding environment. Recent years, we have carried out a project to integrate new functions into Robovie-R2 so as to make it possible to be used in a dining room in healthcare center for helping serving meal for elderly. As a new function, we have developed software system for adaptive movement control of Robovie-R2 that is primary important since a robot that cannot autonomously control its movement would be a dangerous object to the people in dining room. We used the cameras on Robovie-R2's head to catch environment images, applied our original algorithm for recognizing obstacles such as furniture or people, so as to control Roboie-R2's movement. In this paper, we will focus our algorithm and its results.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.825-827
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• 1997

This paper presents a robot which is steered by vision system. The proposed robot system has an AM188ES CPU(5.3 MIPS) and 2DC motors with encoder and turns accurately at any speed and shows a movement like a human controlled car using a steering wheel. To the robot only steering angle value is sent without considering the speed. We present how to control this robot using our real time vision system.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.727-728
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• 2008

As Ubiquitous era comes, it became necessary to construct environment which can provide more useful information to human in the spaces where people live like homes or offices. For it, this paper research human pattern by classified motion recognition using soft-computing and suggest the system which can control Ubquitous environment by grasp human's movement and condition.

• Proceedings of the IEEK Conference
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• 2002.06c
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• pp.199-202
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• 2002

We described a real-time 3D computer vision system called MIMIC(Motion interface f Motion information Capture system) that can capture and save motion of an actor. This system analyzes input images from vision sensors and searches feature information like a head, hands, and feet. Moreover, this estimates intermediated joints as an elbow and hee using feature information and makes 3D human model having 20 joints. This virtual human model mimics the motion of an actor in real-time. Therefore this system can realize the movement of an actor unaffectedly because of making intermediated joint for complete human body contrary to other marker-free motion capture system.

• Journal of Yeungnam Medical Science
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• v.40 no.1
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• pp.23-29
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• 2023

The pathological hallmark of rheumatoid arthritis (RA) is a synovial pannus that comprises proliferating and invasive fibroblast-like synoviocytes, infiltrating inflammatory cells, and an associated neoangiogenic response. Animal models have been established to study these pathological features of human RA. Spontaneous and induced animal models of RA primarily reflect inflammatory aspects of the disease. Among various induced animal models, collagen-induced arthritis (CIA) and collagen antibody-induced arthritis (CAIA) models are widely used to study the pathogenesis of RA. Improved transplantation techniques for severe combined immunodeficiency (SCID) mouse models of RA can be used to evaluate the effectiveness of potential therapeutics in human tissues and cells. This review provides basic information on various animal models of RA, including CIA and CAIA. In addition, we describe a SCID mouse coimplantation model that can measure the long-distance migration of human RA synoviocytes and cartilage destruction induced by these cells.

• 제어로봇시스템학회:학술대회논문집
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• 1995.10a
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• pp.195-198
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• 1995

In this paper We propose one computer interface device for handicapped people. Input signals of the interface device are movements of eyeballs and head of handicapped. The movements of the eyeballs and head are detected by an image processing system. One feature of our system is that the operator is not obliged to wear any burdensome device like glasses and a helmet. The sensing performance of the image processing of the eyeballs and head is evaluated through experiments. Experimental results reveal the applicability of our system.

• International Journal of Human Ecology
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• v.8 no.2
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• pp.107-125
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• 2007

In human history, scarf has acted not only as a protection for body but also as a symbolization of class. Today, scarf has become a whole field in fashion and an important accessory to express individuality in fashion. Hence, like other fashion item, it is very important to develop exclusive design for scarf by analyzing the current fashion trend. In this research, we have designed a scarf textile, accordance with the contemporary design trend, applying the floral pattern, designed by William Morris who was an artist considered as the founder of the 1800s arts and crafts movement. We selected four trend themes, "Salon de Archives", "Eco Tech", "Profound Nature", and "Neo Aristo" for the design of 2007/2008 Fall/Winter. The flower motifs in Pimpernel Wallpaper, Honeysuckle textile design, Acanthus Wallpaper, Garden tulip wallpaper, Evenlode printed cotton, Trellis Wallpaper, and Chrysanthemum Wallpaper, by William Morris who expressed an image of environment friendly and nature reversion, applied to develop new creative scarf through design after modifying and rearranging these flower patterns. After the pattern was drawn by hand, adjusting of color and repeating of the design was done with DTP (Digital Textile Printing). Through this research, the researchers hopes to be of assistance to the development of national scarf brand design, and to the recapturing of textile industry that once played a important role in Koreans economic development.

• Korean Journal of Human Ecology
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• v.20 no.6
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• pp.1121-1133
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• 2011

Fair trade has received increasing attention from ethical consumers in the North Trans-Atlantic world. It is a movement establishing alternative trading organizations to ensure minimal returns, safe working conditions, and to provide continuity in the trading relationship for disadvantaged producers, especially women and indigenous people in the South. Despite of the growing fair trade movement in the U.S. and Europe, it is still in the introductory stage in Korea. Although fair trade has gained some attention because of the efforts of activists, most Korean consumers are still unaware of it. This paper is divided into four sections including an introduction and conclusions. In section two, I analysed sales of the fairly traded products and the websites of the fairly traded products sellers. In section three, I proposed two effective recommendations for the better marketing and promotion strategies of fairly traded products. One proposal is for providing consumer information, like fair trade certificates, consumer campaigns, and consumer information of the fair trade sellers' websites analyses. The other is for establishing the infrastructure to promote the consumption of fairly traded products such as consumer education, corporate social responsibility, social enterprise, fair trade town and school, and networking. This study is relavant to academics, non-profit fair trade organizations, manufacturers, retailers and governments.

• Archives of design research
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• v.17 no.2
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• pp.87-94
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• 2004

3D character animation uses the various entertainment factors such as movie, advertisement, game and cyber idol and occupies an important position in video industry. Although character animation makes various productions and real expressions possible, it is difficult to make character like human body without anatomical understanding of human body. Human body anatomy is the basic knowledge which analyzes physical structure anatomically, gives a lot of helps to make character modeling and make physical movement and facial expression delicately when character animation is produced. Therefore this study examines structure and proportion of human body and focuses on character modeling and animation production based on anatomical understanding of human body.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.229-232
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• 2008

A Neural network classification of human activity data is presented. The data acquisition system involves a tri-axial accelerometer in wireless sensor network environment. The wireless ad-hoc system has the advantage of small size, convenience for wearability and cost effectiveness. The system can further improve the range of user mobility with the inclusion of ad-hoc environment. The classification is based on the frequencies of the involved activities. The most significant Fast Fourier coefficients, of the acceleration of the body movement, are used for classification of the daily activities like, Rest walk and Run. A supervised learning approach is used. The work presents classification accuracy with the available fast batch training algorithms i.e. Levenberg-Marquardt and Resilient back propagation scheme is used for training and calculation of accuracy.