• Journal of the Korea Society of Computer and Information
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• 제19권8호
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• pp.35-44
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• 2014

This paper proposes a 3D pointing interface that is designed for the efficient application of a hand mouse. The proposed method uses depth images to secure high-quality results even in response to changes in lighting and environmental conditions and uses the normal vector of the palm of the hand to perform 3D pointing. First, the hand region is detected and tracked using the existing conventional method; based on the information thus obtained, the region of the palm is predicted and the region of interest is obtained. Once the region of interest has been identified, this region is approximated by the plane equation and the normal vector is extracted. Next, to ensure stable control, interpolation is performed using the extracted normal vector and the intersection point is detected. For stability and efficiency, the dynamic weight using the sigmoid function is applied to the above detected intersection point, and finally, this is converted into the 2D coordinate system. This paper explains the methods of detecting the region of interest and the direction vector and proposes a method of interpolating and applying the dynamic weight in order to stabilize control. Lastly, qualitative and quantitative analyses are performed on the proposed 3D pointing method to verify its ability to deliver stable control.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
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• pp.153-156
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• 2005

Skin region detection in images is an important process in many computer vision applications targeting humans such as hand gesture recognition and face identification. It usually starts at a pixel-level, and involves a pre-process of color spae transformation followed by a classification process. A color space transformation is assumed to increase separability between skin classes and other classes, to increase similarity among different skin tones, and to bring a robust performance under varying imaging conditions, without any complicated analysis. In this paper, we examine if the color space transformation actually brings those benefits to the problem of skin region detection on a set of human hand images with different postures, backgrounds, people, and illuminations. Our experimental results indicate that color space transfomation affects the skin detection performance. Although the performance depends on camera and surround conditions, normalized [R, G, B] color space may be a good choice in general.

• The Journal of the Korea Contents Association
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• 제5권4호
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• pp.85-93
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• 2005

In this paper, we propose recognition system which tracks the unmarked hand of a person performing sign language in complex background. First of all, we measure entropy for the difference image between continuous frames. Using a color information that is similar to a skin color in candidate region which has high value, we extract hand region only from background image. On the extracted hand region, we detect a contour and recognize sign language by applying improved centroidal profile method. In the experimental results for 6 kinds of sing language movement, unlike existing methods, we can stably recognize sign language in complex background and illumination changes without marker. Also, it shows the recognition rate with more than 95% for person and $90\sim100%$ for each movement at 15 frames/second.

• The Journal of the Korea institute of electronic communication sciences
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• 제8권6호
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• pp.805-814
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• 2013

This paper proposes a robust hand segmentation method using view-invariant characteristic of a wrist-mounted camera, and deals with a hand shape recognition system based on segmented hand information. We actively utilize the advantage of the proposed camera device that provides view-invariant images physically, and segment hand region using a Bayesian rule based on adaptive histograms. We construct HSV histograms from RGB histograms, and update HSV histograms using hand region information from a current image. We also propose a user adaptation method by which hand models gradually approach user-dependent models from user-independent models as the user uses the system. The proposed method was evaluated using 16 Korean manual alphabet, and we obtained increases of 27.91% in recognition success rate.

• Journal of the Korea Society of Computer and Information
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• 제17권6호
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• pp.49-55
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• 2012

Pacman is one of the world-famous and have been chosen game in the game room at the arcade. In this paper, pacman game gives you the ability to perform by simple hand movement alone. First, we obtain binary RGB image to extract skin color, and convert into binary image YCbCr by minus the luminance in this image. Next, we extract the hand region by the product of an binary RGB image and binary YCbCr image. Finally, the hand region, we obtain the center of gravity by the minimum bounding rectangle and the center of the hand pixel area, and we used to obtain the center of the hand area with an average of two center of gravity. In other words, we presented the game of motion that can take the place of arrow key by using the center coordinates of hand. In addition, these experiments showed the average movement and error rate, and cause of the error type was also investigated.

• Journal of the Korean Operations Research and Management Science Society
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• 제21권2호
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• pp.35-47
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• 1996

The tolerance approach to the sensitivity analysis in linear programming considers simultaneous and independent variations in the coefficients of the objective function or of the right-hand side terms and gives a region in which the coefficients and terms can be changed and still keeps the current optimal basis B for the original problem as an optimal basis for the perturbed problem. In this paper we describe a procedure that expands the region S obtained by the tolerance approach into a larger region R, so that more variations in the objective function coefficients or the right-hand side terms are permissible.

• SUVANNABHUMI
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• 제8권1호
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• pp.17-53
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• 2016

Debates continue to multiply on the definition and rationale of Southeast Asia as a region and on the utility of the multidisciplinary field of area studies. However, we have now entered a post-colonialist, post-Orientalist, post-structuralist stage of reflection and re-orientation in the era of globalization, and a strong tendency on the part of insiders to pose these issues in terms of an insider-outsider dichotomy. On the one hand, the study of Southeast Asia for researchers from outside the region has become fragmented. This is for very obvious reasons: the strengthening and re-energizing of academic disciplines, the increasing popularity of other non-regional multidisciplinary studies, and the entry of globalization studies into our field of vision. On the other hand, how has the local Southeast Asian academy addressed these major issues of change in conceptualizing the region from an insider perspective? In filling in and giving substance to an outsider, primarily Euro-American-Australian-centric definition and vision of Southeast Asia, some local academics have recently been inclined to construct Southeast Asia in terms of the Association of Southeast Asian Nations (ASEAN): a nation-state-based, institutional definition of what a region comprises. Others continue to operate at a localized level exploring small-scale communities and territories, while a modest number focus on sub-regional issues (the Malay-Indonesian world or the Mekong sub-region are examples). However, further reflections suggest that the Euro-American-Australian hegemony is a thing of the past and the ground has shifted to a much greater emphasis on academic activity within the region. Southeast Asia-based academics are also finding it much more important to network within the region and to capture, understand, and analyze what Chinese, Japanese, and Korean scholars are saying about Southeast Asia, its present circumstances and trajectories, and their increasingly close involvement with the region within a greater Asia-Pacific rim. The paper argues that the insider-outsider dichotomy requires considerable qualification. It is a neat way of dramatizing the aftermath of colonialism and Orientalism and of reasserting local priorities, agendas, and interests. But there might be a way forward in resolving at least some of these apparently opposed positions with recourse to the concepts of culture and identity in order to address Southeast Asian diversities, movements, encounters, hybridization, and hierarchies.

• Journal of the Korean Society of Mechanical Technology
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• 제20권6호
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• pp.872-878
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• 2018

Steam tables including superheated, saturated and compressed region were simultaneously modeled using the neural networks. Pressure and temperature were used as two inputs for superheated and compressed region. On the other hand Pressure and dryness fraction were two inputs for saturated region. The outputs were specific volume, specific enthalpy and specific entropy. The neural network model were compared with the linear interpolation model in terms of the percentage relative errors. The criterion of judgement was selected with the percentage relative error of 1%. In conclusion the neural networks showed better results than the interpolation method for all data of superheated and compressed region and specific volume of saturated region, but similar for specific enthalpy and entropy of saturated region.

• The International Journal of Costume Culture
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• 제13권1호
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• pp.1-4
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• 2010

The hand printed cottons of India are historically world-renowned for their rich fast colours, elaborate designs, and matchless quality. Until the discovery of synthetic dyestuffs in the latter part of the nineteenth century, the unsurpassed master dyers of cotton were the craftsmen of India-birthplace of cultivated cotton. The Indian printers and dyers monopolised this arcane art of permeating cotton cloth with richly hued, colour-fast designs, and the fruits of their labour proved hugely influential in international trade and the development of modern textile technologies. This paper focuses on a lesser-known body of hand printed cottons, traditionally produced in rural Rajasthan for everyday use by the local pastoral communities. Drawing on extensive research carried out with the region's Chhipa community of hereditary cloth printers, the complex and multiple applications of mordant, dye and resist are illustrated. Often taking months to complete, the enduring popularity of these labour-intensive hand printed cottons is then discussed, particularly in the light of the hugesocial importance borne by cloth in Rajasthan. Cloth and clothing are widely recognised as indicators of social status, gender, rank, and individual and group affiliations. In addition, cloth and clothing have been established as indicators of social, economic, political and technological change. The paper concludes by drawing attention to the recent influx of machine-printed polyester textiles, often replicating the designs or colours of the traditional locally produced cottons. Thus women of the region, whilst using these modern synthetic textiles as part of newer ways of expressing their identity, also visibly retain the values associated with hand printed cottons and traditional dress codes.

• Journal of Korea Multimedia Society
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• 제13권7호
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• pp.1000-1015
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• 2010

In this paper, we propose a novel algorithm for hand gesture recognition. The hand detection method is based on human skin color, and we use the boundary energy information to locate the hand region accurately, then the moment method will be employed to locate the hand palm center. Hand gesture recognition can be separated into 2 step: firstly, the hand posture recognition: we employ the parallel NNs to deal with problem of hand posture recognition, pattern of a hand posture can be extracted by utilize the fitting ellipses method, which separates the detected hand region by 12 ellipses and calculates the white pixels rate in ellipse line. the pattern will be input to the NNs with 12 input nodes, the NNs contains 4 output nodes, each output node out a value within 0~1, the posture is then represented by composed of the 4 output codes. Secondly, the hand gesture tracking and recognition: we employed the Kalman filter to predict the position information of gesture to create the position sequence, distance relationship between positions will be used to confirm the gesture. The simulation have been performed on Windows XP to evaluate the efficiency of the algorithm, for recognizing the hand posture, we used 300 training images to train the recognizing machine and used 200 images to test the machine, the correct number is up to 194. And for testing the hand tracking recognition part, we make 1200 times gesture (each gesture 400 times), the total correct number is 1002 times. These results shows that the proposed gesture recognition algorithm can achieve an endurable job for detecting the hand and its' gesture.