• Digital Contents
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• no.7 s.134
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• pp.102-105
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• 2004

국내 애니메이터들에게 희망을 불어넣어줄 낭보가 잇따라 터지고 있다. ‘오세암’이 세계적인 권위의 국제페스티벌에서 영예의 그랑프리를 수상했고, 국내 단편 애니메이션들의 잇달은 수상 소식도 쏟아지고 있다. 정민영 감독의 단편 애니메이션‘길’도 이러한 국내 애니메이션 업계에 빛을 전해주고 있는 작품중 하나. '길'은 지난 4월 30일(한국시각) 폐막한 제47회 샌프란시스코 국제영화제(San Francisco International Film Festival)에서 금문상(GOLDEN GATE AWARDS)을 수상했고, 지난 5월 6일부터 9일까지 4일간 열린 2004년 부산아시아단편영화제에서 교보상을 수상했다. 러닝타임 14분 45초인‘길’은 일반적인 모션 애니메이션이 아닌 편안한 질감의 인형으로 표현된 클레이 애니메이션으로 독창성이 뛰어나고 탄력적 상상력을 지녔다고 평가된다. 정해진 인생길에 순응해가며 살 수밖에 없는 나약한 인간의 모습을 보여준‘길’을 만나본다.

• Journal of Internet Computing and Services
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• v.15 no.3
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• pp.11-19
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• 2014

The natural user interface/experience (NUI/NUX) is used for the natural motion interface without using device or tool such as mice, keyboards, pens and markers. Up to now, typical motion recognition methods used markers to receive coordinate input values of each marker as relative data and to store each coordinate value into the database. But, to recognize accurate motion, more markers are needed and much time is taken in attaching makers and processing the data. Also, as NUI/NUX framework being developed except for the most important intuition, problems for use arise and are forced for users to learn many NUI/NUX framework usages. To compensate for this problem in this paper, we didn't use markers and implemented for anyone to handle it. Also, we designed multi-modal NUI/NUX framework controlling voice, body motion, and facial expression simultaneously, and proposed a new algorithm of mouse operation by recognizing intuitive hand gesture and mapping it on the monitor. We implement it for user to handle the "hand mouse" operation easily and intuitively.

• Journal of the Institute of Convergence Signal Processing
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• v.14 no.4
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• pp.235-242
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• 2013

In this paper, the system which can translate sign language through motion recognition of Kinect camera system is developed for the communication between hearing-impaired person or language disability, and normal person. The proposed algorithm which can translate sign language is developed by using core function of Kinect, and two ways such as length normalization and elbow normalization are introduced to improve accuracy of translating sign langauge for various sign language users. After that the sign language data is compared by chart in order to know how effective these ways of normalization. The accuracy of this program is demonstrated by entering 10 databases and translating sign languages ranging from simple signs to complex signs. In addition, the reliability of translating sign language is improved by applying this program to people who have various body shapes and fixing measure errors in body shapes.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.07a
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• pp.191-194
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• 2015

청각장애인을 위한 지상파방송 서비스 중 자막방송은 100%에 가까운 편성 비율을 달성하고 있지만, 수화방송은 방송화면을 가리는 특성과 비용 등의 문제로 5% 수준의 편성에 그치고 있다. 본 연구에서는 자막방송을 수화로 번역하여 그래픽 수화 방송을 생성함으로써 수화방송의 비율을 높이고자 한다. 일기예보에 한정하여 수화방송을 생성한 기존 연구 결과를 바탕으로 모든 방송 프로그램에 적용 가능한 그래픽 수화방송 시스템을 제안한다. 자막방송 문장을 형태소별로 분석한 다음 중요 품사 위주로 단어 단위로 번역하고, 한국어 어휘의미망을 이용하여 수화사전에 없는 단어를 대표어로 대체하였다. 형제어와 문맥 정보를 이용하여 중의성 단어를 성공적으로 번역하였다. 기존 일기예보 수화방송 시스템의 수화 사전과 수화 모션 데이터베이스를 추가 구축하였다. 자동번역 기술이 전문 수화 통역사의 수준을 따라잡을 수는 없지만 향후 수화방송도 선택적 서비스가 가능해지고 수화통역사의 수화방송이 모든 프로그램에 편성될 때까지 본 시스템이 보조적 시청 수단으로 사용 가능할 것이다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.855-858
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• 2015

K-POP dance has been the best contributor for the worldwide spread of K-POP. However, despite the popularity of K-POP dance, Korea has not still secured foundation technology and database required for the global market expansion of K-POP dance contents, which results in stagnation in dance contents industry. This paper suggests the direction of technology development for reviltalization of K-POP dance contents industry. As one of the related studies, we especially introduce the research project conducted by Electronics and Telecommunications Research Institute(ETRI) and address prospects for the technology and its ripple effect.

• The Journal of the Korea Contents Association
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• v.6 no.1
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• pp.179-189
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• 2006

Recently, according to the development of computer technology, a large amount of customer data have been stored in database. Using such data, decision makers extract the useful information to make a valuable plan with data mining. In this paper, we design a forecasting model that classifies the exiting customers in the telecommunication industries using the classification rule, one of the data mining technologies. In other words, this paper builds a model of customer loyalty detection and analyzes customer patterns in mobile communication service market with data mining using neural network and regression methods. This model improves the relationship of customers and enterprises. As a result, the enterprise creates the profits from many customers and the customer receives more benefits from the enterprise.

• The Journal of Korea Robotics Society
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• v.1 no.2
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• pp.188-196
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• 2006

During the communication and interaction with a human using motions or gestures, a humanoid robot needs not only to look like a human but also to behave like a human to make sure the meanings of the motions or gestures. Among various human-like behaviors, arm motions of the humanoid robot are essential for the communication with people through motions. In this work, a mathematical representation for characterizing human arm motions is first proposed. The human arm motions are characterized by the elbow elevation angle which is determined using the position and orientation of human hands. That representation is mathematically obtained using an approximation tool, Response Surface Method (RSM). Then a method to generate human-like arm motions in real time using the proposed representation is presented. The proposed method was evaluated to generate human-like arm motions when the humanoid robot was asked to move its arms from a point to another point including the rotation of its hand. The example motion was performed using the KIST humanoid robot, MAHRU.

• Journal of Internet Computing and Services
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• v.23 no.5
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• pp.69-78
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• 2022

As the use of Internet of Things (IoT) devices has expanded, digital forensics coverage of the National Police Agency has expanded to smart home areas. Accordingly, most of the existing studies conducted to acquire smart home platform data were mainly conducted to analyze local data of mobile devices and analyze network perspectives. However, meaningful data for evidence analysis is mainly stored on cloud storage on smart home platforms. Therefore, in this paper, we study how to acquire stored in the cloud in a Hey Home Air environment by extracting accessToken of user accounts through a cookie database of browsers such as Microsoft Edge, Google Chrome, Mozilia Firefox, and Opera, which are recorded on a PC when users use the Hey Home app-based "Hey Home Square" service. In this paper, the it was configured with smart temperature and humidity sensors, smart door sensors, and smart motion sensors, and artifacts such as temperature and humidity data by date and place, device list used, and motion detection records were collected. Information such as temperature and humidity at the time of the incident can be seen from the results of the artifact analysis and can be used in the forensic investigation process. In addition, the cloud data acquisition method using OpenAPI proposed in this paper excludes the possibility of modulation during the data collection process and uses the API method, so it follows the principle of integrity and reproducibility, which are the principles of digital forensics.

• Journal of Energy Engineering
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• v.19 no.2
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• pp.128-135
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• 2010

This paper introduces step by step procedures for the fabrication and operation of an embedded solar tracker. The system presented consists of application software, compactRIO, C-series interface module, analogue input module, step drive, step motor, feedback devices and other accessories to support its functional stability. CompactRIO that has a real-tim processor allows the solar tracker to be a stand-alone real time system which operates automatically without any external control. An astronomical method and an optical method were used for a high-precision solar tracker. CdS sensors are used to constantly generate feedback signals to the controller, which allow a solar tracker to track the sun even under adverse conditions. The database of solar position and sunrise and sunset time was compared with those of those of the Astronomical Applications Department of the U.S. Naval Observatory. The results presented here clearly demonstrate the high-accuracy of the present system in solar tracking, which are applicable to many existing solar systems.

• Journal of the Korea Computer Graphics Society
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• v.19 no.2
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• pp.1-8
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• 2013

Captured human motion data has been widely utilized for understanding the mechanism of human motion and synthesizing the animation of virtual characters. Searching for desired motions from given motion data is an important prerequisite of analyzing and editing those selected motions. This paper presents a new method of content-based motion retrieval without the need of additional metadata such as keywords. While existing search methods have focused on skeletal configurations of body pose or planar trajectories of locomotion, our method receives a three-dimensional trajectory as its input query and retrieves a set of motion intervals in which the trajectories of body parts such as hands, foods, and pelvis are similar to the input trajectory. In order to allow the user to intuitively sketch spatial trajectories, we used the Leap Motion controller that can precisely trace finger movements as the input device for our experiments. We have evaluated the effectiveness of our approach by conducting a user study in which the users search for dozens of pre-selected motions from baseketball motion data including a variety of moves such as dribbling and shooting.