• Korean Journal of Human Ecology
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• v.12 no.4
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• pp.559-570
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• 2003

The focus of this research was concerned with studying lower body type for Korean adult males. To understand the features of men's lower body required to organize an optimal sizing system for men's tight-fit slacks, information from the measuring values based on research on the physical standard of the nation(l997) were summarized; in addition, a factor analysis and a cluster analysis among multivariate analyses were performed. In terms of the need for appropriate fit in motorcycle wear, basic lower body parts applying to each item had to be taken into consideration to enhance sizing suitability. In the case of the length of the lower limbs, the inclusion of protectors plays an important role in affecting sizing. The factors related to the lower body were defined as follows: Factor 1 was the vertical dimension of the lower body, Factor 2 was the horizontal dimension of waist and hip, Factor 3 was the horizontal dimension of the lower limbs, Factor 4 was the length of hips, and Factor 5 was the ankle height. The lower body part was also divided into 3 clusters. Cluster 1 referred to the smallest stature and skeleton structure among the 3 body types. Cluster 2 represented the biggest stature, with a thin lower limbs body type. Cluster 3 represented a medium stature but with a large skeleton structure of lower limbs, a muscular type. In conclusion, Cluster 2 appeared most in the 20s age groups, but Cluster 3 appeared most in each of the 30s, 40's, and 50's age groups.

• Journal of the Korea Fashion and Costume Design Association
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• v.13 no.1
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• pp.37-46
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• 2011

To design a beautiful hood fitting an unspecific individual, focusing on body parts such as the head, neck and shoulder requires body size and type information, which applied by physical factors like size, types, and movements, etc. These parts consist of complicated types and structures. Accurate information should be a priority due to great individual differences and low correlation with other body parts. However, there is not a lot of detailed physical information nor design methods for hood design. Therefore, the purpose of this study is to select a study sample "hood" which is a recently emerging fashion item and to expand the necessary physical information for pattern design and draw body size of wearing part on Hood like head, cerbical portion and shoulder. Extract factors to consist on types and after divided into several types, a study comparing each type's physical characteristics was conducted. In order to do that, body measurement data have been collected by statistical treatment and analyzed reference with statistical treatment. The results of the study are predicted to be important data to develop various hood designs for the recent fashion trend. Factor analysis was conducted through main composition analysis about direct measured item on human body and index items. The results of factor analysis, composed factors of body type in this research object were extracted in total of 3 factors. To categorize the head, neck and shoulders of women in their early 20s women and determine their characteristics, variances with factor analysis became operative for Cluster analysis. With these clusters, women in their early 20s were categorized into three types. The results of this study are considered to affect largely for higher physical suitability on unspecified individuals when allowed absence of reference and the fact that body size only limited to item 'head circumstance' in terms of making hat and hood in the case of recent Korea. For the future, an experimental study of hood production should be conducted by using basic data from this study.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.413-415
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• 2022

Since human joints can be used as useful information for analyzing human behavior as a component of the human body, many studies have been conducted on human action recognition using joint information. However, it is a very complex problem to recognize human action that changes every moment using only each independent joint information. Therefore, an additional information extraction method to be used for learning and an algorithm that considers the current state based on the past state are needed. In this paper, we propose a human action recognition technique considering the positional relationship of connected joints and the change of the position of each joint over time. Using the pre-trained joint extraction model, position information of each joint is obtained, and bone information is extracted using the difference vector between the connected joints. In addition, a simplified neural network is constructed according to the two types of inputs, and spatio-temporal features are extracted by adding LSTM. As a result of the experiment using a dataset consisting of 9 behaviors, it was confirmed that when the action recognition accuracy was measured considering the temporal and spatial relationship features of each joint, it showed superior performance compared to the result using only single joint information.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.67-71
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• 2019

With continued technology innovation in the fields of computer graphics (CG) and virtual reality (VR), digital animated avatars (or virtual humans) are evolving into ones that are more interactive at a suitable location such as museum, airport, and shopping mall. Specially, the form of the avatar (or the virtual human) realistically need to be expressed in a way that matches the users' physical space. In recent many researches, the form of virtual human has been expressed as mixed-reality human (MRH)-the virtual human combines with the physicality as the real part. In this paper, we propose to carry out a study comparing various MRH on co-presence and emotional response in two-typed virtual humans depending on how many actual parts are included: (1) (Level 1) small parts in the virtual human combined virtual components (e.g., the head only) and (2) (Level 2) large parts in the virtual human with the physicality as the real part such as head, arms, and upper body). We report on the implemented results of our virtual humans and experimental results on co-presence and emotional response.

• Journal of Korean Elementary Science Education
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• v.23 no.3
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• pp.238-250
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• 2004

For effective conceptual teaching (or teaming) of physics, it needs to know more information about students＇ ideas related to specific topics. The purpose of this study was to investigate 6th grade students＇ various ideas about the actions of force, especially＇ the situation where force is being acted＇, and＇ the situation where force is not being acted＇, through the analysis of their ＇Typically-Perceived-Situation (TPS)＇. The TPSs of 152 6th grade students were collected with a drawing-and-explanation type questionnaire, and their TPSs about the action of force were categorized by the background, the subject, the object, the action, and the result of action, etc. It was found that most of students＇ ideas about ＇force is being acted＇ were related to the situation where the impact by or on human body caused to the change of position in familiar everyday life scene. Thus their ideas were strong related to human body, including sensual factors such as ＇pain＇. And it also was found that most of students＇ ideas about ＇force is not being acted＇ were in a strong relation to familiar everyday life situations there is no change of position because force was not given by a human body, or energy was not supplied. Most students thought that force is similar to energy which should be supplied from outside or generated by itself. These results suggest that the teaching strategies focused on familiar everyday life background including sensual factors and human body need to be explored in conceptual loaming of physics.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.35 no.7
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• pp.785-790
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• 2011

The goal of this study is to estimate the force acting on the knee joint in the human body by using the Hilltype muscle model based on a musculoskeletal model of the human lower extremity in the sagittal plane. For estimating the force applied, the human leg is modeled using multi-body modeling. This leg model comprises biarticular muscles acting on two joints of the upper and lower limbs, and the muscles include some of the major muscles such as the hamstring. In order to analyze the uncertainty of the applied forces acting on the knee joint, statistical distributions of human body, leg part, parameters are required and to obtain the parameter's statistical characteristic of the part sample survey method is employed. Finally, by using the sensitivity information of the parameters, the force acting on the knee joint can be estimated.

• Journal of Institute of Control, Robotics and Systems
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• v.5 no.8
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• pp.961-968
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• 1999

In this paper we handle a system that transform sensor data to sensor information. Sensor informations from redundant accelerometers are manipulated to represent the configuration of objects carrying sensors. Basic sensor unit of the proposed systme is composed of 3 accelerometers that are aligned along x-y-z coordination axes of motion. To refine the sensor information, at first the sensor data are fused by geometrical optimization to reduce the variance of sensor information. To overcome the error caused from inexact alignment of each sensor to the coordination system, we propose a calibration technique that identifies the transformation between the coordinate axes and real sensor axes. The calibration technique make the sensor information approach real value. Also, we propose a technique that decomposes the accelerometer data into motion acceleration component and gravity acceleration component so that we can get more exact configuration of objects than in the case of raw sensor data. A set of experimental results are given to show the usefulness of the proposed method as well as the experiments in which the proposed techniques are applied to human body motion capture.

• Journal of KIISE:Computing Practices and Letters
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• v.7 no.3
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• pp.248-259
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• 2001

This paper proposes a human action recognition scheme to recognize nonverbal human communications automatically. Based on the principle that a human body action can be defined as a combination of multiple articulation movements, we use the method of inferencing stochastic grammars to understand each human actions. We measure and quantize each human action in 3D world-coordinate, and make two sets of 4-chain-code for xy and zy projection plane. Based on the fact that the neighboring information among articulations is an essential element to distinguish actions, we designed a new stochastic inference procedure to apply the neighboring information of hands. Our proposed scheme shows better recognition rate than that of other general stochastic inference procedures. ures.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.4
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• pp.2042-2059
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• 2019

Digital shadow puppet has traditionally relied on expensive motion capture equipments and complex design. In this paper, a low-cost driven technique is presented, that captures human pose estimation data with simple camera from real scenarios, and use them to drive virtual Chinese shadow play in a 2.5D scene. We propose a special method for extracting human pose data for driving virtual Chinese shadow play, which is called 2.5D human pose estimation. Firstly, we use the 3D human pose estimation method to obtain the initial data. In the process of the following transformation, we treat the depth feature as an implicit feature, and map body joints to the range of constraints. We call the obtain pose data as 2.5D pose data. However, the 2.5D pose data can not better control the shadow puppet directly, due to the difference in motion pattern and composition structure between real pose and shadow puppet. To this end, the 2.5D pose data transformation is carried out in the implicit pose mapping space based on self-network and the final 2.5D pose expression data is produced for animating shadow puppets. Experimental results have demonstrated the effectiveness of our new method.

• Journal of Korea Multimedia Society
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• v.21 no.12
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• pp.1473-1480
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• 2018

The extraction and recognition of human motion characteristics need to combine biometrics to determine and judge human behavior in the movement and distinguish individual identities. The so-called biometric technology, the specific operation is the use of the body's inherent biological characteristics of individual identity authentication, the most noteworthy feature is the invariance and uniqueness. In the past, the behavior recognition technology based on the single characteristic was too restrictive, in this paper, we proposed a mixed feature which combined global silhouette feature and local optical flow feature, and this combined representation was used for human action recognition. And we will use the KTH database to train and test the recognition system. Experiments have been very desirable results.