• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.320-322
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• 2021

With the development of wireless Internet technology and the expansion of the game market, various forms of games are being developed that are mounted on various platforms, including mobile platforms. In this environment, ensuring the immersion of the game user's perspective will secure the game's competitiveness, so it is necessary to increase the immersion by satisfying each area presented by the Human Computer Interaction (HCI) theory. To this end, this high school implemented downhill games and experimented with kiosks by applying an interface that recognizes the human body's movements as a way to secure freedom and immersion of game users.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.219-222
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• 2004

There are several factors that disturb an Ultra-Wideband (UWB) radio propagation in an indoor environment such as path loss, shadowing and multipath fading. These factors directly affect the quality of the received signal. In this paper, we investigated the influence of the human body shadowing on UWB propagation based on measured wireless channel in an anechoic chamber. The characteristics of the UWB channel including the transmitter and the receiver antenna effects are acquired over the frequency bandwidth of 3${\sim}$11 GHz. The major factors such as the power delay profile (PDP), the angular power distribution (APD), the pulse distortion and the RMS delay spread caused by the human body shadowing are presented.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.42 no.1
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• pp.51-58
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• 2005

we can set laser patterns with 3D information from vision camera after projected to object with laser stripes. They are very useful for 3-Dimensional informations. We researched the laser patterns of human body projected by stripes and found out three featuring patterns and made database of patterns using Fourier descriptors to recognize the patterns of bodies. The HMM method and Fourier descriptors to recognize human body were experimented. We found out HMM method can recognize human body in more efficient rate than the other.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.149-152
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• 2016

In this paper, we propose an algorithm to track human body of input video from a single camera. The proposed method gets the difference image between gray image of input image and one of background image and also the difference image between hue image of input image and one of background image. Then we combine the results, splits foreground and background and detect human body objects. Then each object is numbered and is tracked. The proposed method tracks each object using the intensity and hue histogram of local area in objects. The proposed method is applied to video from a camera and tracked well the hided objects and the overlapped objects.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.11
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• pp.3121-3144
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• 2023

As interest in the metaverse has grown, there has been a demand for avatars that can represent individual users. Consequently, research has been conducted to reduce the time and cost required for the current 3D human modeling process. However, the recent automatic generation of 3D humans has been focused on creating avatars with a realistic human form. Furthermore, the existing methods have limitations in generating avatars with imbalanced or unrealistic body shapes, and their utilization is limited due to the absence of datasets. Therefore, this paper proposes a new framework for automatically transforming and creating stylized 3D avatars. Our research presents a definitional approach and methodology for creating non-realistic character avatars, in contrast to previous studies that focused on creating realistic humans. We define a new shape representation parameter and use a deep learning-based method to extract character body information and perform automatic template mesh transformation, thereby obtaining non-realistic or unbalanced human meshes. We present the resulting outputs visually, conducting user evaluations to demonstrate the effectiveness of our proposed method. Our approach provides an automatic mesh transformation method tailored to the growing demand for avatars of various body types and extends the existing method to the 3D cartoon stylized avatar domain.

• Journal of Electrical Engineering and Technology
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• v.10 no.3
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• pp.1264-1274
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• 2015

Human action recognition received many interest in the computer vision community. Most of the existing methods focus on either construct robust descriptor from the temporal domain, or computational method to exploit the discriminative power of the descriptor. In this paper we explore the idea of using local action attributes to form an action descriptor, where an action is no longer characterized with the motion changes in the temporal domain but the local semantic description of the action. We propose an novel framework where introduces local action attributes to represent an action for the final human action categorization. The local action attributes are defined for each body part which are independent from the global action. The resulting attribute descriptor is used to jointly model human action to achieve robust performance. In addition, we conduct some study on the impact of using body local and global low-level feature for the aforementioned attributes. Experiments on the KTH dataset and the MV-TJU dataset show that our local action attribute based descriptor improve action recognition performance.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.7
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• pp.1084-1088
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• 2002

Currently, the lack of equipments for the medical practice and education made it impossible for the people in medical institution to carry out suitable experiments for observing human bodies .In this paper, the authors embodied three dimensional images and moving pictures for the human skeletal structure, digestive organs, cardiovascular system and their processes over the internet framework. The three dimensional images and moving picture made it possible for the general people as well as the specialists to observe and obtain informations with regard to the human body. Especially, the authors realized a framework for visualizing the human bodies in three dimensional images, via which a detailed and realistic architecture for the human body and its organs can be obtained. The system developed in this paper can be used in the practice and education of the people engaged in medical fields.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.11a
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• pp.352-355
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• 2002

Currently, the lack of equipments for the medical practice and education made it impossible for the people in medical institution to carry out suitable experiments for observing human bodies. In this paper, the authors embodied three dimensional images and moving pictures for the human skeletal structure, digestive organs, cardiovascular system and their processes over the internet framework. The three dimensional images and moving picture made it possible for the general people as well as the specialists to observe and obtain informations with regard to the human body. Especially, the authors realized a framework for visualizing the human bodies in three dimensional images, via which a detailed and realistic architecture for the human body and its organs can be obtained. The system developed in this paper can be used in the practice and education of the people engaged in medical fields.

• Korean Journal of Human Ecology
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• v.16 no.4
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• pp.825-835
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• 2007

The purpose of this research is to examine the relationship between body satisfaction and appearance enhancement behavior of college students. A questionnaire survey was conducted on 234 college students in Cheong-ju area, Korea. Frequency, descriptive analysis, $x^2$ and t-tests were used for data analysis. Male students were generally satisfied with their height but not with their weight, while female students were not satisfied with their height and weight. There were significant gender differences in satisfaction with their skin color: male students were mostly satisfied with their skin color other than female students. The body satisfaction degree of college students depended on gender: the male students showed more satisfaction with their physical condition than the female students. Of the college student's improving-appearance behaviors such as face-lifting by plastic surgery, make-up by cosmetics and skin care, their preferable choice depended on their gender. When purchasing clothes, they considered if the clothes could cover their defects of their body line and improve their physical appearance. The levels of body satisfaction were significantly different according to their appearance enhancement behaviors.

• The Journal of the Korea Contents Association
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• v.10 no.5
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• pp.416-421
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• 2010

The KISTI (Korea Institute of Science and Technology Information) began to produce the Korean human information called Visible Korean and Digital Korean since 2000 because there was no human information in Korea which could represent the physical characteristics of Korean human body. The Visible Korean consists of CT, MR, sectioned and segmented images of Korean human body. We obtained the serially sectioned images by grinding the Korean cadaver in horizontal direction and segmented these images by outlining the inner organs of human. We have produced the sectioned images of Korean male whole body, male head, and female pelvis in2008. The segmentation and 3D reconstruction of these images are now in proceeding. The Digital Korean consists of CT images of about 100 Korean cadavers. These CT images were segmented by individual bone, reconstructed to produce the 3D bone models and the skin surface model was also added. The mechanical properties of individual bones were obtained by measuring the property of individual bone sample. We have distributed these Korean human informations to users in domestic and abroad. About 70 institutes in domestic, and 20 institutes in abroad have used our data in research use and nearly 160 proceedings and articles were published since 2001. We think these human informations have a role of medical information infrastructure that could be used in the field of medical education, biomechanics, virtual reality etc.