• 제어로봇시스템학회:학술대회논문집
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• 1996.10a
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• pp.83-86
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• 1996

We propose a mathematical model which describes the walking behavior of a person and to analyze the effect of the personality on the dynamics of the crowd. The fundamental assumption is that the human behavior is not a random process but a deterministic process with several basic mechanisms and each fundamental mechanism is common and only the parameter is different from person to person. The proposed model is based on the servomechanism which drives a person along the planned path from point to point. This model has been applied to simulate the walks of people in a crowd and the simulated results have a good coincidence with actual measurement.

• International journal of advanced smart convergence
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• v.6 no.2
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• pp.82-88
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• 2017

The data generated by the BSN sensor attached to the human body is mostly mobile. Accordingly, in a mobile cloud environment that processes BSN data, the service should not be fixed in a specific area but be able to support it according to the move. The mobile device must be able to process, filter and transmit the collected BSN data. The cloud server must be able to collect the data processed by the mobile device and provide it as a service. And the transfer of data requires standardized transfer between each device. In this paper, we propose a data delivery method through standard schema when mobile device processes data and provides service in cloud system and a data processing method according to the movement of the mobile device.

• Journal of the Korea Society of Computer and Information
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• v.9 no.3
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• pp.87-93
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• 2004

In this paper we present a hybrid model that enables dynamic regrouping based on emotion in determining the behavioral pattern of crowds in order to enhance the reality of crowd simulation in virtual environments such as games. Emotion determination rules are defined and they are used for dynamic human regrouping to simulate the movement of characters through crowds realistically. Our experiments show more natural simulation of crowd behaviors as results of this research.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.10 no.2
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• pp.67-80
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• 2006

In this paper, we propose a new pointing device that is replaced a mouse as the pointing device with. For reducing the existing pointing device's problem which had marker and high-cost, we develop a new pointing device using computer vision like as a similar human vision system. The proposed system first carries out a real-time movement tracking system using image data which are segmented by color modeling, and finally does the pointing action by 3-D coordinate calculated from stereo geometry information resulting from stereo matching of the segmented region.

• 제어로봇시스템학회:학술대회논문집
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• 1993.10b
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• pp.164-167
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• 1993

Telemanipulator became one of refocused fields with the help of various technology integration concerned. As one of key technologies much simpler opeartion of manipulator by operators and feedback method to operator can be counted. For such purpose virtual reality techniques are being implemented and in this paper tactile feeling among human 5 feelings will be discussed. Movement manipulation in free space and gripper manipulation methods are discussed in combination with operator's organs. Tactile signal of telemanipulator's gripper is also integrated into tactile VR control system. Such tactile VR technology is regarded as one of important roles for advanced robot technology.

• The Research Journal of the Costume Culture
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• v.6 no.4
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• pp.84-103
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• 1998

The purpose of this study si focused on Futurism style and contemporary fashion in the 20th century, by researching the Giacomo Balla, Fortunato Depero, Tullio Crali, Erenesto Thayate characteristics fashion design. The results of this study are following as : The general traits of Futurism style are classified with aesthetics, formative characteristics. First, aesthetic characteristics are based on H. Bergson's life-phylosophy and F. Nietzche's art theory. Second, formative characteristics is Dynamism. Futurism Dynamism are classified with psychological Dynamism and physical Dynamism. Futurism trends in the costume : first, dynamism in fashion design, second, asymmetrical balance, third, formativeness, forth, technology, fifth, anti-traditionalism. Dynamism are expressed textile, pattern and costuem shape in contemporary dress. Asymmetrical balance are expressed costume silhouette shape and framework through the geometrical asymmetrical balance. Formativeness are agree with Paco Rabanne's fashion design expressed body and movement and phychological world of human through the secondly fabric. Technology are expressed new mechanical dynamism in used technology art and new fashion material by metal. The last, anti-traditionalism is recognized new value and idea in fashion.

• Journal of Preventive Medicine and Public Health
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• v.15 no.1
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• pp.5-16
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• 1982

The Saemaul Undong has brought great improvements tothe life-style environment of rural communities, but it has not been able to focuson a health program. In order to improve rural health, develop human resources, and utilise the nation's manpower, the Saemaul Undong should focus on a community health project. Mobilizing the manpower for such a project can be done by providing opportunities for youth and young adults, especially village women, to betrained as primary health caretakers. This project can be achieved through the joint support of the Ministry of Horne Affairs, the Ministry of health and Social Affairs, and other Ministries. It will take decision and courage by government officials to implement such a grand plan, but it is a very crucial task to promote primary health care throughout the whole nation. This calls for top leader's concern & will to adovocate and support a 'Saemaul Movement for health', giving health asfirst priority to the Saemaul Undong as afresh political drive of the fifth Republic of Korea Government.

• Korean Journal of Applied Biomechanics
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• v.22 no.3
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• pp.261-268
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• 2012

The purpose of this study was to qualitatively analyze pressure intensity and the center of pressure(COP) trajectory according to shoe type. Subjects were ten first-year female university students. The EMED-AT 25/D(Novel, Germany) was used to measure pressure intensity and COP trajectory. The COP Excursion Index(CPEI) was used for within subject test design. Independent variables were bare feet and six types of shoes. Dependent variables were center of pressure trajectory and pressure intensity. Barefeet and five toed shoes had a similar pressure intensity and COP trajectory. COP trajectory for all other shoe types showed a medial wobble at the heel. Pressure intensity for all other shoe types was related to the structure of the shoes. In conclusion, different shoe types can not only affect gait, but they can also influence foot deformities, pain, and dysfunction.

• Journal of the Ergonomics Society of Korea
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• v.16 no.3
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• pp.71-75
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• 1997

This paper presents the development of videobased 3-dimensional tracking system. Measurement of human motion is important in the application of ertonomics. The system uses advanced direct video measurement technology. Passive retro-reflecting markers are attached to a subject and movements of markers are observed by two CCD cameras. Infrared light emitted near the CCD cameras is reflected by the markers and is detected by the cameras. The images are captured by Samsung MVB302 board and the centers of markers are calculated by DSP program. The positions of markers are transferred from MVB02 board to the computer through AT bus. The computer then tracks the position of each marker and saves the data. This system has dynamic accuracy with 0.7% average error and 4.2% maximum error, and the sampling rate to 6 .approx. 10 Hz, and this system can analyse the trajectory and speed of the marker. The results of this study can be used for operator's motion analysis, task analysis, and hand movement characteristic analysis.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.178-180
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• 2003

EEG-based brain computer interface(BCI) provides a new communication channel between human brain and computer. EEG data is a multivariate time series so that hidden Markov model (HMM) might be a good choice for classification. However EEG is very noisy data and contains artifacts, so useful features mr expected to improve the performance of HMM. In this paper we addresses the usefulness of principal component features with Hidden Markov model (HHM). We show that some selected principal component features can suppress small noises and artifacts, hence improves classification performance. Experimental study for the classification of EEG data during imagination of a left, right up or down hand movement confirms the validity of our proposed method.