• Proceedings of the Korean Institute of Interior Design Conference
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• 2004.11a
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• pp.55-60
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• 2004

This paper aims to provide a multi-dimensional integrative model that can give a comprehensive account for human space experience. Human space experience is too complicated phenomenon, so space designer need to understand about mechanism of space cognition. From psychological point of view, I analyze the mechanism that is based on emotional reaction. This model consist of three dimensions: sensory, reflexive, and reflective dimension. Assuming this model, we have attempt the typological analysis to the space by studying human space experience. Finally, the outcome provides how space designer use this effect for application of human experience.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.6 no.1
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• pp.39-46
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• 2006

We propose an global color model based method for tracking motions of multiple human using a networked multiple-camera system in intelligent space as a human-robot coexistent system. An intelligent space is a space where many intelligent devices, such as computers and sensors(color CCD cameras for example), are distributed. Human beings can be a part of intelligent space as well. One of the main goals of intelligent space is to assist humans and to do different services for them. In order to be capable of doing that, intelligent space must be able to do different human related tasks. One of them is to identify and track multiple objects seamlessly. In the environment where many camera modules are distributed on network, it is important to identify object in order to track it, because different cameras may be needed as object moves throughout the space and intelligent space should determine the appropriate one. This paper describes appearance based unknown object tracking with the distributed vision system in intelligent space. First, we discuss how object color information is obtained and how the color appearance based model is constructed from this data. Then, we discuss the global color model based on the local color information. The process of learning within global model and the experimental results are also presented.

• Journal of the Korean Society of Industry Convergence
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• v.22 no.1
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• pp.39-45
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• 2019

We propose an active color model based method for tracking motions of multiple human using a networked multiple-camera system in IoT space as a human-robot coexistent system. An IoT space is a space where many intelligent devices, such as computers and sensors(color CCD cameras for example), are distributed. Human beings can be a part of IoT space as well. One of the main goals of IoT space is to assist humans and to do different services for them. In order to be capable of doing that, IoT space must be able to do different human related tasks. One of them is to identify and track multiple objects seamlessly. In the environment where many camera modules are distributed on network, it is important to identify object in order to track it, because different cameras may be needed as object moves throughout the space and IoT space should determine the appropriate one. This paper describes appearance based unknown object tracking with the distributed vision system in IoT space. First, we discuss how object color information is obtained and how the color appearance based model is constructed from this data. Then, we discuss the global color model based on the local color information. The process of learning within global model and the experimental results are also presented.

• Biomedical Science Letters
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• v.10 no.2
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• pp.129-135
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• 2004

The study was carried out through measuring the temperature and humidity of the indoor/outdoor space and the distribution of interior thermal condition, and investigating the effect of loess materials on human body. The purpose of this study is to analyze the change of dry bulb temperature and relative humidity and correlation of thermal reaction of human body with ASHRAE (American Society of Heating, Refrigerating and Air-conditioning) comfort chart in the loess interior space. In the view point of biomedical sciences, loess interior space provides optimum thermal conditions for human thermal sensation.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.12
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• pp.984-990
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• 2005

The aim of this paper is to investigate a control framework for mobile robots, operating in shared environment with humans. The Intelligent Space (iSpace) can sense the whole space and evaluate the situations in the space by distributing sensors. The mobile agents serve the inhabitants in the space utilizes the evaluated information by iSpace. The iSpace evaluates the situations in the space and learns the walking behavior of the inhabitants. The human intelligence manifests in the space as a behavior, as a response to the situation in the space. The iSpace learns the behavior and applies to mobile agent motion planning and control. This paper introduces the application of fuzzy-neural network to describe the obstacle avoidance behavior teamed from humans. Simulation results are introduced to demonstrate the efficiency of this method.

• Korean Institute of Interior Design Journal
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• v.13 no.4
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• pp.127-137
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• 2004

Since 20th century, the exhibition has expanded to more diverse fields and recognized as the medium which can build network among the Art, Human and society. Space design, although developed within mutual interaction and consideration of environment factors, has been treated without those background. Therefore it is straightforward to examine the exhibition space design synthetically not limit it by the analytical elements. Assuming three main mutual interactions, object human, and environment, we have attempt the typological analysis to the museum exhibition space by studying characteristics. While the exhibition space design has been analyzed through two dimensional interpretation, on this study, we structuralize diverse discussion of the exhibition space design by relation-centered and relative analysis. Therefor we examine the characteristic of design expression through typology of both physical and behavioral feature. In the conclusion, the outcome provides insights into the relationships among object, human and environment and useful measurements to designer who outline exhibition space design.

• Korean Institute of Interior Design Journal
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• no.30
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• pp.28-34
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• 2002

We need to think that space is not static but dynamic because it becomes wide and narrow, newly appears and disappears by human's behavior. Generally such movement in a space is a thing of feeling and dynamic about movement. But it is extending the experience of the subject by scientific technique's development and anticipation about the feature. The practical movement is actively introduced into architecture and interior design scope and occurs a trial about this movement. By using four elements -a form, hue, movement, light- kineticism becomes visual arts united with art and science. It recovers the art's sociality and arises participation of spectators. In the environment and art field kineticism is not simple ostentation but a current trial for human's mind and sensitivility. Kineticism is four-dimensional space considered by human's experience and is related to an observer, or experiential subject of space. Now the space except human's mind feature re-illuminates kineticism, that is, the field of the formative arts in the early part of the 20th century and gets to be 'the consensus space'.

• Korean Institute of Interior Design Journal
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• v.20 no.6
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• pp.79-87
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• 2011

Spatial perception and spatial structure that focus on psychological effects produce a real force through the medium of space that can control human actions, even their psychology. The job of understanding the characteristics and effects of architectural spaces that recognize the relationship between architecture and human beings, including the psychological dimension, is an alternative search for quality spaces that can increase the mutual relationship between space and human beings. This paper introduces two propositions called "space" and "psychology" in order to discover a meta-pattern connecting space and the human mind with the aim of systematizing that internal network and establishing a new architectural system concerning space and human beings. This paper also proposes a method of accessing physical spaces that can affect psychological states through a conceptual substitution called "extension," with the aim of discovering the implications inherent in such extensive relationships and proposing a methodology of organizing psychological spaces based on the characteristics of that extensive connection. The means of extensively connecting psychological spaces were classified into the three categories of memory system, sensory system, and motor system, and their corresponding extensive connection characteristics called "simultaneous relativity," "non-mediated immediacy," and "purification process" were also derived. These characteristics accelerate the changes in psychological intensity and function as principles that organize psychological space.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.2_2
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• pp.319-324
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• 2024

In this paper, the Artificial Intelligence Space(AI-Space) for human-robot interface is presented, which can enable human-computer interfacing, networked camera conferencing, industrial monitoring, service and training applications. We present a method for representing, tracking, and objects(human, robot, chair) following by fusing distributed multiple vision systems in AI-Space. The article presents the integration of color distributions into particle filtering. Particle filters provide a robust tracking framework under ambiguous conditions. We propose to track the moving objects(human, robot, chair) by generating hypotheses not in the image plane but on the top-view reconstruction of the scene.

• The Journal of Korea Robotics Society
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• v.2 no.4
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• pp.297-303
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• 2007

In this paper, we discuss a service to give alarm in the case of emergency for the old and the weak by human behavior recognition in Intelligent Space. Our Intelligent Space consists of mobile robots, sensors and agents. And these components are connected to network framework. Agent analyzes data acquired from networked sensors and determines task of robots and a space to provide a service for humans. In our emergency alarm service, human behavior recognition service module analyzes accelerometer data obtained from body-attached human behavior sensing platform, and classifies into four basic human behavior such as walking, running, sitting and falling-down. For the old and the weak, falling-down behavior may bring about dangerous situations. On such an occasion, agent executes emergency alarm service immediately. And then a selected mobile robot approaches fallen person and sends images of the person to guardians. In this paper, we set up a scenario to verify the emergency alarm service in Intelligent Space, and show feasibility of the service from our simulation experiments.