• 한국멀티미디어학회논문지
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• 제10권6호
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• pp.716-725
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• 2007

In this paper we describe a motion tracking algorithm for 3D human animation using stereo vision system. This allows us to extract the motion data of the end effectors of human body by following the movement through segmentation process in HIS or RGB color model, and then blob analysis is used to detect robust shape. When two hands or two foots are crossed at any position and become disjointed, an adaptive algorithm is presented to recognize whether it is left or right one. And the real motion is the 3-D coordinate motion. A mono image data is a data of 2D coordinate. This data doesn't acquire distance from a camera. By stereo vision like human vision, we can acquire a data of 3D motion such as left, right motion from bottom and distance of objects from camera. This requests a depth value including x axis and y axis coordinate in mono image for transforming 3D coordinate. This depth value(z axis) is calculated by disparity of stereo vision by using only end-effectors of images. The position of the inner joints is calculated and 3D character can be visualized using inverse kinematics.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2003년도 춘계종합학술대회논문집
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• pp.185-188
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• 2003

인터넷을 기반으로 한 전자상거래의 등장은 상거래에 있어 지역적인 제한을 없애는 역할을 하고 있다. 이것은 상거래에 있어서 지금까지의 통념을 새롭게 정립해야 하는 것을 의미한다. 즉 촉각이 우선 되던 패턴에서 벗어나 시각이 우선 되는 것을 의미한다. 전자상거래 쇼핑몰의 성패여부가 이 시각을 붙잡아 놓는 것에 있다해도 과언은 아닐 것이다. 소비자의 다양한 욕구에 부응하고 이에 맞는 컨텐츠의 개발을 통한 쇼핑몰의 구축으로 물품구매까지 연결시킬 수 있어야 한다. 따라서, 본 논문에서는 쇼핑몰 구축에 있어 소비자의 욕구를 만족시키기 위한 유용한 컨텐츠의 활용에 대해 알아보고 그 효율성에 대해 연구하였다.

• 한국멀티미디어학회논문지
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• 제21권8호
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• pp.982-990
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• 2018

In recent years, many wearable devices and mobile apps related to life care have been developed, and a service for measuring the movement during walking and showing the amount of exercise has been provided. However, they do not measure walking in detail, so there may be errors in the total calorie consumption. If the user's behavior is measured by a multi-axis sensor and learned by a machine learning algorithm to recognize the kind of behavior, the detailed operation of walking can be autonomously distinguished and the total calorie consumption can be calculated more than the conventional method. In order to verify this, we measured activities and created a model using a machine learning algorithm. As a result of the comparison experiment, it was confirmed that the average accuracy was 12.5% or more higher than that of the conventional method. Also, in the measurement of the momentum, the calorie consumption accuracy is more than 49.53% than that of the conventional method. If the activity recognition is performed using the wearable device and the machine learning algorithm, the accuracy can be improved and the energy consumption calculation accuracy can be improved.

• 교육시설
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• 제11권1호
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• pp.25-37
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• 2004

This study is derived from a problem for the blind, how to recognize the space and how to find their way. Unlike ordinary people, the disabled people are closely related with special constructor environment using the other sense. Especially, to find his/her location, each person depends on the wayfinding ability as acquiring specific and various information,(e.g. recognizing figure by tactile sense, space size by auditory sense, direction by light from a window and regular noise, and existence of switch in a specific place.) Those senses help the person's wayfinding to his/her destination. The procedure of wayfinding are location, position, orientation, navigation, and movement. Consequently, construction for the people above mentioned can offer a design-guideline considering following factors, building arrangement considering regular noise, refurbishment, plan configuration of floor and wall-skin changed, circulation stream that maintains right angle by the regular noise in the building, enforcement location character by the inflow of the light into a crossing.

• 대한치과교정학회지
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• 제23권4호
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• pp.619-631
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• 1993

Tooth movement by segment is one of the means which are frequently used in daily orthodontic practice. When we retract or intrude a tooth or teeth, we should recognize the center of resistance of the certain tooth or teeth. There have been many studies about the center of resistance of a single tooth, not so much was about the tooth-segment. At the present study the center of resistance of the maxillary anterior segment is experimentally investigated by using laser reflection technique and metal splints on the human dry skull. The variables of intrusive force magnitude are divided into two groups, 50g and 100g groups. The results were as follows ; 1. The center of resistance of the maxillary anterior segment composed of the central and lateral incisors was at the mesial portion of canine crown at the coronal level. 2. The center of resistance of the maxillary anterior segment composed of the central and lateral incisors and canines is between the canine and the 1st premolar crowns at the coronal level.

• 한국인터넷방송통신학회논문지
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• 제13권6호
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• pp.237-242
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• 2013

헬스장을 이용하고는 싶지만 과한 업무량과 지리적 위치, 시간 등 여러 가지 이유로 이용에 제한이 있다. 그래서 집에서 간단히 할 수 있는 유/무산소 운동을 즐기되, 혼자 하는 지루함을 잊게 하고 옆에서 누군가 코치(케어)해 줄 수 있는가에 대한 발상에 힘입어 헬스케어 어플리케이션 개발에 착수하게 되었다. 본 연구는 인터넷/매장에서 쉽게 접할 수 있는 MicroSoft Kinect 하드웨어를 사용하였고 키넥트를 이용 사용자를 인식하고, 3D 모델을 모델링하여 인식된 사용자와 맵핑시켜 동작을 컨트롤하고 몸무게, 칼로리를 케어하는 프로그램을 구현하였다.

• 대한임베디드공학회논문지
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• 제14권6호
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• pp.295-311
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• 2019

The smart product market is growing year by year and is being used in many areas. There are various ways of interacting with smart products and users by inputting voice recognition, touch and finger movements. It is most important to detect an accurate hand region as a whole step to recognize hand movement. In this paper, we propose a method to detect accurate hand region in real time in various environments. A conventional method of detecting a hand region includes a method using depth information of a multi-sensor camera, a method of detecting a hand through machine learning, and a method of detecting a hand region using a color model. Among these methods, a method using a multi-sensor camera or a method using a machine learning requires a large amount of calculation and a high-performance PC is essential. Many computations are not suitable for embedded systems, and high-end PCs increase or decrease the price of smart products. The algorithm proposed in this paper detects the hand region using the color model, corrects the problems of the existing hand detection algorithm, and detects the accurate hand region based on various experimental environments.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -2
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• pp.1256-1259
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• 2002

In this paper, we have proposed license plate recognition system for multi-national vehicle license plate using geometric features along with hybrid and seven segment pattern vectors. In the proposed system, we suggested to find horizontal and vertical relation after going through preparation process with inputted real-time license plate image of Korea and Japan, and then to classify license plate with using characteristic and geometric information of license plates. It classifies the extracted license plate images into letters and numbers, such as local name, local number, classification character and license consecutive numbers, and recognize license plate of Korea and Japan by applying hybrid and seven segments pattern vectors to classified letter and number region. License plate extraction step of the proposed system uses width and length information along with relative rate of Korean and Japanese license plate. Moreover, it exactly segmentation by letters with using each letter and number position information within license plate region, and recognizes Korean and Japanese license plates by applying hybrid and seven segment pattern vectors, containing characteristics related to letter size and movement within segmented letter area. As the result of testing the proposed system in real experiment, it recognized regardless of external lighting conditions as well as classifying license plates by nations, Korea and Japan. We have developed a system, recognizing regardless of inputted structural character of vehicle licenses and external environment.

• Ocean Systems Engineering
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• 제4권1호
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• pp.53-62
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• 2014

The detection of ship wakes image can demonstrate substantial information regarding on a ship, such as its tonnage, type, direction, and speed of movement. Consequently, the wake target recognition is a favorable way for ship identification. This paper proposes a Local Binary Pattern (LBP) approach to extract image features (wakes) for training an Improved Back Propagation Artificial Neural Network (IBPANN) to identify ship speed. This method is applied to sort and recognize the ship wakes of five different speeds images, the result shows that the detection accuracy is satisfied as expected, the average correctness rates of wakes target recognition at the five speeds may be achieved over 80%. Specifically, the lower ship's speed, the better accurate rate, sometimes it's accuracy could be close to 100%. In addition, one significant feature of this method is that it can receive a higher recognition rate than the nearest neighbor classification method.

• 한국환경교육학회지:환경교육
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• 제14권1호
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• pp.1-18
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• 2001

The purpose of this study is to research new paradigms of environmental ethics and environmental ethics education to overcome ecological crisis and to develop an alternative model of systematic environmental ethics education for establishing eco-centred life values. According to deep ecologists, they assert the necessity of basic reorientation of crucial components of present political, economic and social orders to overcome ecological crisis today. This means the movement from the mechanistic worldview to the ecological worldview and the shift from Dominant Social Paradigm(DSP) to New Ecological Paradigm(NEP). Environmental ethics education should be 'eco-centred environmental ethics education'which makes some contribution to overcome ecological crisis and to create new alternatives. Also it should be not a simple behavior change but 'eco-centred environmental ethics education', what is called, as 'ecological literacy education'which changes the views of values, thoughts and attitudes etc. In this, as a new social curriculum, 'ecological literacy education'means to cultivate the ability which can recognize environmental problems correctly and to overcome ecological crisis wisely we face with today. To perform this ecological environmental ethics education, we suggested 'eco-centred life values', we place a criterion of moral value judgment according to 'ecological conscience'on 'life', and we presented 'an alternative model of environmental ethics education' giving consideration to human being, nature and environment at the same time.