• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1046-1048
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• 2003

Recently, various researches in respect of the positioning technologies using satellites and the other sensors have made location-based services (LBS) more common and accurate. Consequently, concern about position information has been increasing. However, since these positioning systems only focus on user's position, it is difficult to know the user's attitude or detailed behaviors at the specific position. It is worthy to study on how to acquire such human attitude or behavior, because those information is useful to know the context of the user. In this paper, the sensor unit consisting of three dimensional accelerometer was attached to human body, and autonomously measured the perpendicular acceleration of ordinary human behaviors including activity modes such as walking, running, and transportation mode using transportation such as a train, a bus, and an elevator. Subsequently, using the classified measurement results, the method to identify the human activity modes was proposed.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.354-356
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• 2003

The study of pedestrian behavior covers wide topics, including way finding, choice and decision make, as well as spatial cognition and environmental perception. To address the problem, simulation is now put forward as suitable technique and method for analyzing human spatial behavior. In the paper we present a development architecture for simulating tracking pedestrian in a distributed environment. We introduce and explore the potential of using mobile agent-enabled distributed implementation model as a tool for development and implementation of the simulation. Three kinds of mobile agents are designed for implementation of managing and querying data of pedestrian. Finally, simulation result of JR 10,000 passengers’ movement is developed and implemented as a case study.

• Journal of The Korean Digital Architecture Interior Association
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• v.9 no.3
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• pp.95-102
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• 2009

An architectural space can be considered a life form that interconnects a number of architectural elements such as the humans who live in it. It is difficult to understand and evaluate the complexity of the interrelation between each element, but there have been various attempts to understand and evaluate this architectural space. The Space Syntax that emerged in 1980s has been studied and used more frequently than other methods. Space Syntax is the space analysis tool that analyzes the physical structure of space and represents it as a graph. Space syntax enables its various applications in space analysis by quantifying each spatial property of a whole structure, analyzing it systemically and objectively based on mathematical logic, and representing the results as a quantitative value. Integration of Space Syntax, a widely used index, reflects human behavior in spatial configuration. Meanwhile, there have been various studies in the field of architectural environmental psychology about the relationships between space and human behavior by applying behavioral science to architectural plan. One of the most widely used one is spatial behavior simulation which uses models and simulates the behavioral characteristics to anticipate practical situations and investigate the behavior related spatial problems. In this study, which focuses on the accessibility of the space syntax model, the usefulness of space will be analyzed through the simulation of human behavior that moves through each space. Furthermore, the validity of index will be verified by displaying several examples and compared with integration in space syntax, which represents the usefulness of space.

• Information Systems Review
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• v.11 no.1
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• pp.181-196
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• 2009

New domains in the analysis of the behavior of moving objects, particularly within human social settings, are generating research interest due to significant advances in the accuracy and production cost of global positioning system (GPS) devices. However, although potential applications have been described in multiple research areas, practical and viable business implementations of GPS technology remain challenging. This paper combines the potential of GPS capabilities with the analytical power of OLAP and data visualization to examine data on the movements of visitors in a zoological garden. Based on this example, the benefits and limitations of the application of GPS technology to the analysis of human spatial behavior are discussed.

• Korean Institute of Interior Design Journal
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• v.22 no.5
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• pp.143-151
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• 2013

As we recognize the space, humans will experience a process to synthesize elements of cognitive various methods, come to understand the environment. It is intended that on humans to recognize the space, it is intended to act directly under study how to recognize. Humans can know that the determining action based on the values and physical condition, based on the space in which they have been recognized, there are differences in the behavior of the human as a result. Social and arrangement of components - physical region that is cultural difficulties constitute experience specific areas therein. Space for human activities and human, can know that it is not a memory of human behavior, to have a closer relationship with human perception. That is, the description will be aware of the space via the perceptual phenomenon of man due to physical elements performed in the space, what acts about what happens. Through an understanding of the potential for this, and emotion space production consisting only of physical visual element future, and use act of the area to be expressed from his recognition, through the expansion of the perceptual elements, diverse experience richer and more it is a case where deemed necessary access space configuration capable of a broad depth study of this portion is happening, in order to constitute a space, a new interpretation for human behavior is progressing.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.12
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• pp.13-20
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• 2019

The purpose of this study was to investigate the effects of visual properties on the human movement behavior experimentally and empirically using spatial analysis technique based on ecological perception theory. For the survey of choosing behaviors of heading direction in built environments, the experiment was conducted in which the subjects were made to choose moving directions in some spaces using the virtual environment simulation tool, and then comparative analysis was conducted on the interrelation between the experiment results and various visual properties in existing spatial analysis techniques based on ecological perception theory. As a result, the occlusivity of the isovist theory was found to be the most significant index in the human choice of heading direction, and the longest radial also showed somewhat significant effect on it.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.3
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• pp.1595-1613
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• 2017

The IR camera and laser-based IR projector provide an effective solution for real-time collection of moving targets in RGB-D videos. Different from the traditional RGB videos, the captured depth videos are not affected by the illumination variation. In this paper, we propose a novel feature extraction framework to describe human activities based on the above optical video capturing method, namely spatial-temporal texture features for 3D human activity recognition. Spatial-temporal texture feature with depth information is insensitive to illumination and occlusions, and efficient for fine-motion description. The framework of our proposed algorithm begins with video acquisition based on laser projection, video preprocessing with visual background extraction and obtains spatial-temporal key images. Then, the texture features encoded from key images are used to generate discriminative features for human activity information. The experimental results based on the different databases and practical scenarios demonstrate the effectiveness of our proposed algorithm for the large-scale data sets.

• Journal of Environmental Science International
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• v.15 no.12
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• pp.1087-1091
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• 2006

This paper describes the current spatial patterns of the net primary productivity (NPP) of the terrestrial vegetation and carbon emission (C) in the world due to the burning of fossil fuels in order to clarify the amount of expansion of human activity. The C/NPP value varies spatially from almost zero to several tens of thousand times the local NPP. C/NPP is higher under the condition of extensive human activities due to a high human population density or when the local NPP is extremely low in severe climatic zones. In contrast, the low C/NPP areas are distributed mainly in sparsely populated districts, loading to a low impact of human activity. Although the area where C/NPP is less than 10% accounts for about 70% of the entire land area, one-third of these areas cannot contribute to carbon absorption because of low NPP with a shortage of climatic resources. Since more than half of the areas of the remaining areas are agricultural land and forest ecosystems with high NPP, the possible afforestation area was evaluated to be maximum of $30{\times}10^{6}\;km^{2}$; here only sequestrate carbons that correspond to 2% of the global total NPP are present. These analyses revealed that presently most of the areas where the NPP is high are those exclusively used by humans and that it is difficult for large-scale forest plantations to absorb a substantial amount of the carbon emitted annually by humans.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.4
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• pp.613-624
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• 2015

This study examined: 1) the effect of store density on perceived crowding 2) the difference of perceived price benefit of sale by store density 3) the effect of perceived price benefit and store density on perceived crowding and 4) the effect of perceived crowding and price benefit on shopping behaviors. Store density and perceived crowding were categorized into social and spatial dimensions. Data were collected with 6 (high, medium, and low social and spatial densities) * 2 (sale and no-sale) between-subjects experimental designs. A total of 395 responses were analyzed. The results revealed that social density affected social crowding, but spatial density had no effect on perceived crowding. Price benefit of sale was not different by store density. The sale itself did not affect perceived crowding. Under the social density situation, perceived price benefit reduced spatial crowding and social crowding showed a positive effect on purchase behavior while spatial crowding had a negative effect. However, the most important effect on purchase behavior was price benefit. The study implies that social density (not spatial density) is important for consumer behavior and retail strategies.

• The Journal of Korea Robotics Society
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• v.14 no.4
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• pp.251-257
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• 2019

This paper presents the kinematic modeling of the human forearm rotation constructed with a spatial four-bar linkage. Especially, a circumduction of the distal ulna is modeled for a minimal displacement of the position of the hand during the forearm rotation from the supination to the pronation. To establish its model, four joint types of the four-bar linkage are, firstly, assigned with the reasonable grounds, and then the spatial linkage having the URUU (Universal-Revolute-Universal-Universal) joint type is proposed. Kinematic analysis is conducted to show the behavior of the distal radio-ulna as well as to evaluate the angular displacements of all the joints. From the simulation result, it is, finally, revealed that the URUU spatial linkage can be substituted for the URUR (Universal-Revolute-Universal-Revolute) spatial linkage by a kinematic constraint.