• 전기학회논문지
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• 제67권7호
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• pp.903-909
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• 2018

We propose laser scanner sensor system based walking pattern and tracking method of multiple human. This system uses laser scanners sensors and is applicable to wide and crowded area such as hospital and medical care center. The primary objective of this research is to promote the development of robust, repeatable and transferable software for security system that can automatically detect, track and follow people in public area. We developed the method of human identification for this system. Our method is following: 1. Best-walking pattern data are obtained by the help of human position and direction data obtained by laser scanners. 2. Human identification is conducted by calculating the correlation between the step length of walking human. It becomes possible to conduct human identification even in crowded scenes by estimating the movements of waling human' feet are periodic. In the experiment in the station, some effectiveness of this method became clear.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2010년도 춘계학술대회 논문집
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• pp.2040-2047
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• 2010

Railway system which has latent loss of lives and property by big accident with that human error such as locomotive driver, manager, signaller, and the others involved. So human error management is needed to control this complex system and to confirm safety of it. Rail human error research for managing human resource has grown rapidly in both quantity and quality of output over the past few years. The continual influences of safety concerns, new technical system opportunities, reorganization of the business, needs to increase effective, reliable and safe use of capacity, and increased society, media and government interest have now accelerated rail human factors research programmes in several countries. The objective of this research is to improve safety and to reduce accidents in korean railway system, through the application of research results to the investigation of requirement for human error.

• 한국실내디자인학회논문집
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• 제4호
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• pp.5-9
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• 1995

In this study, the relationships between the interior space of the upper class residence of Korean late Chosun dynasty and human dimensions based on their life styles of that era are analized. As an object of the study, the interior space of Yunkyungdant in Changduk palace is selected. The major analytical frame works of this study are : the analysis of Space-Human Body System, the analysis of Space-Objects-Human Body System, and the analy-sis of Space-Objects-Human Body System, and the analy-sis of Space-Objects-Life Activities of Human Body System. As a result, it was verified that there are certain quantitative relationships between the interior space of the residence and the human dimensions of Koreans lived up to their life styles and activities of Chosun dynasty era, specialized as 'Confucian life style'.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2009년도 춘계학술대회 논문집
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• pp.1347-1350
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• 2009

Rail human factors research has grown rapidly in both quantity and quality of output over the past few years. The continual influences of safety concerns, new technical system opportunities, reorganisation of the business, needs to increase effective, reliable and safe use of capacity, and increased society, media and government interest have now accelerated rail human factors research programmes in several countries. In this paper we review international standards and guidelines on rail human factors, covering driving, signalling and control, maintenance, reporting systems, passenger interests, management, planning and technical systems change. The purpose of this study is to define the criteria regarding human factors for managing railway system safety. Therefore, some rail human factors suggested in this study may be used as basic data for supporting the Korean railway system safety.

• 산업경영시스템학회지
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• 제32권2호
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• pp.140-146
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• 2009

Since the computer technology has been drastically developed and broadly employed for the design of human machine system, human system interface was somehow digitalized. Actually the operator's working environment employing the digital devices are not be fully digitalized due to its technical constraints so that it has been changed to the hybrid environment which has a combination of digital and analog elements. The hybrid environments need to study its characteristics and the guidelines for the proper design and evaluation purpose. This paper describes the human factor design elements of the console operated under hybrid environment through studying the characteristics of digital and analog environment based on the related human factor guidelines and literatures. The result of this paper implies the contribution to the evaluation of the generic human working environment which digital and analog elements are jointly used.

• Journal of Electrical Engineering and Technology
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• 제10권4호
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• pp.1910-1914
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• 2015

Human posture recognition is an attractive and challenging topic in computer vision due to its promising applications in the areas of personal health care, environmental awareness, human-computer-interaction and surveillance systems. Human posture recognition in video sequences consists of two stages: the first stage is training and evaluation and the second is deployment. In the first stage, the system is trained and evaluated using datasets of human postures to ‘teach’ the system to classify human postures for any future inputs. When the training and evaluation process is deemed satisfactory as measured by recognition rates, the trained system is then deployed to recognize human postures in any input video sequence. Different classifiers were used in the training such as Multilayer Perceptron Feedforward Neural networks, Self-Organizing Maps, Fuzzy C Means and K Means. Results show that supervised learning classifiers tend to perform better than unsupervised classifiers for the case of human posture recognition.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.764-767
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• 2009

Motion capture systems allow to measure the precise position of markers on the human body in real time. These captured motion data, the marker position data, have to be fitted by a human skeleton model to represent the motion of the human. Typical human skeleton models approximate the joints using a ball joint model. However, because this model cannot represent the human skeleton precisely, errors between the motion data and the movements of the simplified human skeleton model happen. We propose in this paper a method for measuring a translation component of wrist, and elbow joints on upper limb using optical motion capture system. Then we study the errors between the ball joint model and acquired motion data. In addition, we discuss the problem to estimate motion of human joint using optical motion capture system.

• 한국과학교육학회지
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• 제32권9호
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• pp.1417-1426
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• 2012

The purpose of this study was to analyze elementary school students' understanding of the human body by drawing the human organism. Data was gathered by open questionnaires of drawing for human body. The open questionnaire was taken with 530 elementary school students from 3rd to 6th grade. The results were as following: First, elementary school students show the highest understanding of the skeletal system, the digestive systems, the respiratory systems, the circulating system and the muscular system respectively. Second, elementary school students' understanding of the human body improved as the grade goes up. Third, it seems that elementary school students have had their own knowledge about the human body through environmental surroundings before learning about the human body.

• 대한산업공학회지
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• 제37권2호
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• pp.96-104
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• 2011

Modeling and simulation of human-involved complex systems pose challenges to representing human decision makings into logical systems because of the nondeterministic and dynamic nature of human behaviors. In modeling perspectives, human's activities in systems can increase uncertainty and complexity, because he or she can potentially access all other resources within the system and change the system states. To address all of these human involvements in the system, this research suggests applying the Finite State Automata (FSA)-based formal modeling of human-involved systems that incorporates the ecological concept of affordances to an evacuation simulation, so that human behavioral patterns under urgent and dynamic emergency situations can be considered in the real-time simulation. The proposed simulation methodologies were interpreted using the warehouse fire evacuation simulation to clarify the applicability of the proposed methodology. This research is expected to merge system engineering technologies and human factors, and come out to the new predictive modeling methodology for disaster simulations. This research can be applied to a variety of applications such as building layout designs and building access control systems for emergency situations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권5호
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• pp.1856-1869
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• 2015

This paper addresses the issues of 3D human activity detection, tracking and recognition from RGB-D video sequences using a feature structured framework. During human tracking and activity recognition, initially, dense depth images are captured using depth camera. In order to track human silhouettes, we considered spatial/temporal continuity, constraints of human motion information and compute centroids of each activity based on chain coding mechanism and centroids point extraction. In body skin joints features, we estimate human body skin color to identify human body parts (i.e., head, hands, and feet) likely to extract joint points information. These joints points are further processed as feature extraction process including distance position features and centroid distance features. Lastly, self-organized maps are used to recognize different activities. Experimental results demonstrate that the proposed method is reliable and efficient in recognizing human poses at different realistic scenes. The proposed system should be applicable to different consumer application systems such as healthcare system, video surveillance system and indoor monitoring systems which track and recognize different activities of multiple users.