• Journal of Korea Multimedia Society
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• v.21 no.4
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• pp.478-484
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• 2018

The choice of the motion features influences the result of the human action recognition method directly. Many factors often influence the single feature differently, such as appearance of the human body, environment and video camera. So the accuracy of action recognition is restricted. On the bases of studying the representation and recognition of human actions, and giving fully consideration to the advantages and disadvantages of different features, the Dense Trajectories(DT) algorithm is a very classic algorithm in the field of behavior recognition feature extraction, but there are some defects in the use of optical flow images. In this paper, we will use the improved Dense Trajectories(iDT) algorithm to optimize and extract the optical flow features in the movement of human action, then we will combined with Support Vector Machine methods to identify human behavior, and use the image in the KTH database for training and testing.

• Proceedings of the IEEK Conference
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• 1998.06a
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• pp.929-932
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• 1998

In this paper we propose a method of representing emotional experessions and lip shapes for sign language communication using 3-dimensional model. At first we employ the action units (AU) of facial action coding system(FACS) to display all shapes. Then we define 11 basic lip shapes and sounding times of each components in a syllable in order to synthesize the lip shapes more precisely for korean characters. Experimental results show that the proposed method could be used efficiently for the sign language image communication between different languages.

• Journal of Korea Multimedia Society
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• v.23 no.8
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• pp.977-985
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• 2020

Aiming at the problem of complex feature extraction and low accuracy in human action recognition, this paper proposed a network structure combining batch normalization algorithm with GoogLeNet network model. Applying Batch Normalization idea in the field of image classification to action recognition field, it improved the algorithm by normalizing the network input training sample by mini-batch. For convolutional network, RGB image was the spatial input, and stacked optical flows was the temporal input. Then, it fused the spatio-temporal networks to get the final action recognition result. It trained and evaluated the architecture on the standard video actions benchmarks of UCF101 and HMDB51, which achieved the accuracy of 93.42% and 67.82%. The results show that the improved convolutional neural network has a significant improvement in improving the recognition rate and has obvious advantages in action recognition.

• Journal of Korean Philosophical Society
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• no.120
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• pp.89-119
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• 2018

Among the controversial issues of Habermas/Luhmann-debate, the more important issue today is the achievement of the two scholars after the debate rather than confirming the old antagonistic framework of critical theory versus systems theory. 'Communicative action' and 'discourse' are such issues. Starting from these issues, Habermas established a theory of communicative action, and Luhmann regarded elements of social systems as communications and considered actions as elements of system's self-observation. In particular, Luhmann's work, which regards communication as a primary concept and action as a result of attribution to the actor, was a very productive conversion of sociological tradition. Nevertheless, this conversion lacks a solution of intensified attribution conflicts. I think it is necessary to pay attention to the '$Verst{\ddot{a}}ndigung$' in Habermas' concept of communicative action in order to solve the problem of infinitely repeated attribution conflicts.

• Proceedings of the KIEE Conference
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• 1998.11b
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• pp.543-545
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• 1998

Robotic soccer is multi-agent system playing soccer game under given rule. This system consists of three mobile robots, vision sensor, action decision module, action execution module and communication module. This paper presents new action decision method using multi-layer neural networks.

• Journal of the Korean Institute of Landscape Architecture
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• v.31 no.5
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• pp.73-85
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• 2003

With more and more people paying attention to substantial democracy, participatory democracy is presented as a practical strategy and an index of Korean democracy. In this social and political atmosphere, participation in environmental planning and design is essential. Nonetheless, the true meaning of “participation” is not used properly because many people do not understand it correctly, The concept of social and political participation is “the action or attempt of ordinary members of society for affecting on the result of decision making.” Based on this concept, participation is accomplished through conventional means and as a form of mobilization in environmental planning and desist Most of the theories on public participation in landscape architecture are technical theories. Therefore, this paper proposes that planning and design of landscape architecture be understood as a communicative action that aims to enable stakeholders to reach a consensus through communication. This study offers the framework of theory to understand and practice planning and design of landscape architecture as a communicative action, after reviewing communicative action theory and communicative planning theory. Results suggest that communicative action theory should be accepted in landscape architecture to overcome the shortcomings of instrumental rationality -- the same way planning theory accepted this theory --and to join the culture of experts focusing on the artistic truth and the culture of life of the world. In addition, accepting communicative action theory enables the acquisition of the instrumental effect and social learning effect and the making of social capital. This study also suggested prerequisite for using the method. There should be change in the social institution and in individual action. In addition the method is composed of three steps: creating the atmosphere for communication; communicating, and; reaching a consensus among stakeholders. Finally, raising the possibility of applying the theory presented in this study requires the accumulation of know-how through trial and error.

• The Korean Journal of Health Service Management
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• v.8 no.2
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• pp.73-87
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• 2014

The purpose of this study was to investigate the effects of a Action Learning(AL) program in terms of problem solving, communication skills, emotional creativity and innovation behaviors. Design for this was a nonequivalent control group quasi-experimental study. The participants were C-hospital staff nurses in G city (Experimental group=29, Control group=30). The AL program was composed of fourteen sessions in eight weeks. Data were collected and the program was conducted from May. 26 to July. 18, 2008. Data were analyzed with ${\chi}^2$-test, Fisher's exact test, t-test and ANCOVA, and utilized the SPSS win 20.0 program. There were significant increases in problem solving skills, communication skills and emotional creativity in the experimental group compared to the control group. Considering the above results, AL program has proven to be an effective educational program for improving the problem solving, communication skills and emotional creativity of nurses.

• International journal of advanced smart convergence
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• v.4 no.1
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• pp.35-39
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• 2015

This study was presented the small action by the budge sonance function. An estimation of budge sonance function was acquired displacements across all condition with a variation of small action. The budge sonance function was to be indicated to express the flow rate of body motion. Their function was suggested an issue of the action condition by budge sonance. This system was proposed a combination of the body motion and small action. The acquired sonance signal was to render the small action of body motion with budge sonance function. The analysis of budge function was generally realized a variation from displacements on the fast body motion. Budge sonance signal of action that vision condition was acquired to a variation of the $Vi-{\beta}_{AVG}$ with $(-4.954){\pm}(-5.42)$ units, that vestibular condition was acquired to a variation for the $Ve-{\beta}_{AVG}$ with $(-2.288){\pm}0.212$ units, that somatosensory condition was acquired to a variation for the $So-{\beta}_{AVG}$ with $(-0.47){\pm}0.511$ units, that CNS condition was acquired to a variation for the $C-{\beta}_{AVG}$ with $(-0.171){\pm}(-0.012)$ units. Budge sonance function was proposed the small action from axial action on body control. We know a body motion response from axial action was not only variation of budge sonance, but also body motion of fast body motion.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.251-264
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• 2016

The purpose of this study is to compose direction about mUC as a communication channel in the company. Recently, many companies have started to adopt or try to vitalize the use of mUC. This study starts from the viewpoint of communication which is the original purpose of SNS or mUC. The purpose and function of life-world are drawn based on Habermas' theory of communicative action. Firstly, this study will check on a difference in usage over the action and articulation between SNS and mUC. Secondly, this study will examine a difference of effect of life-world between SNS and mUC. Thirdly, to check that there is difference according to the user characteristics. The result is that there are differences about action and articulation but little differences of effect to the life-world between SNS and mUC. Also, there is difference according to the user characteristics. This study could contribute to compose direction when a company adopts or vitalizes mUC.

• Journal of the Korea Society of Computer and Information
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• v.10 no.3 s.35
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• pp.55-64
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• 2005

The avatar can be used as an auxiliary methodology of text and image communications in cyber space. An intelligent communication method can also be utilized to achieve real-time communication, where intelligently coded data (joint angles for arm gestures and action units for facial emotions) are transmitted instead of real or compressed pictures. In this paper. for supporting the action of arm and leg gestures, a method of generating the facial expressions that can represent sender's emotions is provided. The facial expression can be represented by Action Unit(AU), in this paper we suggest the methodology of finding appropriate AUs in avatar models that have various shape and structure. And, to maximize the efficiency of emotional expressions, a comic-style facial model having only eyebrows, eyes, nose, and mouth is employed. Then generation of facial emotion animation with the parameters is also investigated.