• Journal of Fashion Business
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• v.20 no.6
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• pp.111-134
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• 2016

A luxury brand bag is a medium to symbolize brand identity and plays a role in enhancing brand value. A typical example is a designer signature bag such as Hermes Kelly Bag, Birkin Bag, and Lady Dior Bag. The purpose of this study is to analyze the design changes and acceptance of identity of luxury brand bags and examine the design characteristics that succeed to the value of a luxury brand bag. The subjects of the study focused on Louis Vuitton, Gucci, and Chanel bags. Photos were collected from www.vogue.co. uk. based on the fashion collections from S/S 2007 to S/S 2016. The study methodology was to analyze the kinds, shapes, colors, materials, and the ornament of subject bags based on previous studies. The results of the study were summarized as follows. For the identity and design changes of each brand, Chanel has tried to combine functionality pursued in the past with constantly changing femininity by making bags in fantastic moods using various materials and free shapes. Gucci has constantly used Ornament elements holding the brand identity of classic bags and trend colors to keep tradition. Louis Vuitton holds fast to its functional shape to protect brand identity through design philosophy that started with a travel luggage and attempts to express modern emotion through Ornament changes. This study confirmed that luxury brands have accepted their unique design characteristics holding brand identity to improve their brand value and attempted to change constructive elements in many different ways for modern reinterpretation.

• Journal of the Korean Society of Clothing and Textiles
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• v.41 no.5
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• pp.783-795
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• 2017

This study measured consumer's recognition, reliability, emotion and images about current eco-marks as well proposed an eco-mark rating scale and mark designs to improve consumer's trust on the fashion product marks. We used a questionnaire survey to collect data from 150 persons about knowledge, interests, and practice on eco fashion products in relation to trustfulness and positive images for three domestic and three international eco-marks. We evaluated and gave eco scores to six fiber-type products (cotton, organic cotton, wool, polyester, biodegradable polyester and nylon) in terms of consumer's use, water & land consumption, waste amount, carbon footprint, and toxicity. We suggested a new 5-level rating scale for eco marks, which quantified the concept of environmental friendliness of fiber products. The design for eco-mark of rating scale showed the total grade with two sub scores of environmental sides and human sides developed with an improved visual understanding for consumers. The design is one through benchmarking the energy-consumption efficiency mark, which is familiar to consumers such as a half circle shape to save environment resources to alarm consumers to environment problems.

• Journal of the Korea Furniture Society
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• v.18 no.2
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• pp.91-99
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• 2007

Modernity which is superficial phenomenon set off the mass scale for mass consumption and provide uniformly artificial environment. But natural destruction, environment pollution, resources exhaustion and so on has been caused by this and now ecology is threatened by destruction and damage beyond the limitation and human beings survival is even threatened. Accordingly furniture development for environment preservation considered environment problem is the urgent real situation. Recent paradigm is the concept of Eco-design which is the green design possible to live together in symbiosis, and new types of alternative furniture are needed in Korea as well. 'Furniture for disassembly' is presented as new method for alternative furniture. Furniture for disassembly can be presented by mainly two directions. The first main characteristic is what is assembled by the use of woodworking joints technique as an assembly structure system without any hardware. The second is what is presented as the structure possible to be assembled by simple manual tools with hardware without any glue. The advantages of furniture for disassembly are environment preservation, space application, transportation efficiency and shapeliness. In manufacture method which is different from present furniture, the application of traditional truss technique which uses various types of custom-made and connection technique in case of assemble structure system without hardware is the typical differences. This assembly method expects not only interest induction about assembly and disassembly of diagram per sub materials but also the development of emotion, the improvement of collaboration, space perception ability and shape sense, the improvement of solid body structure insight and so on, when it use in the furniture for children with the application to many kinds of structure with BANGDOOSANJ (Wedged), JUMUGJANGBU (Dovetail) or NABIEUNJANG (Dovetail Keys) and so on.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.62 no.5
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• pp.696-704
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• 2013

In this paper, we introduce the LED emotional lighting system realized with the aid of both intelligent algorithm and RGB LED combined with White LED. Generally, the illumination is known as a design factor to form the living place that affects human's emotion and action in the light- space as well as the purpose to light up the specific space. The LED emotional lighting system that can express emotional atmosphere as well as control the quantity of light is designed by using both RGB LED to form the emotional mood and W LED to get sufficient amount of light. RBFNNs is used as the intelligent algorithm and the network model designed with the aid of LED control parameters (viz. color coordinates (x and y) related to color temperature, and lux as inputs, RGBW current as output) plays an important role to build up the LED emotional lighting system for obtaining appropriate color space. Unlike conventional RBFNNs, Fuzzy C-Means(FCM) clustering method is used to obtain the fitness values of the receptive function, and the connection weights of the consequence part of networks are expressed by polynomial functions. Also, the parameters of RBFNN model are optimized by using PSO(Particle Swarm Optimization). The proposed LED emotional lighting can save the energy by using the LED light source and improve the ability to work as well as to learn by making an adequate mood under diverse surrounding conditions.

• The Journal of the Korea Contents Association
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• v.7 no.1
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• pp.207-214
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• 2007

Symbol mark started with expressing the symbolic form through the long history of human beings, in order to transmit self or group's life and thoughts, and since the Industrial Revolution, symbol mark has beer used for the business activities of enterprise, along with the acquirement of term 'CI'. The symbol mark design of A.E.G, designed by Peter Behrens in 1907 is the onset of symbol mark in the CI concept, and the concept of CI and symbol mark was introduced to our nation in the early of 1970s. Since then, until now, CI has reflected the phase of the times as a key factor of CI, while repeating numerous changes, and recently, it is a state that the expression methods of symbol mark have been varied with the popularization of trend, appealing to emotion in the whole society and culture. Accordingly, this thesis examines the corporate symbol mark through the portfolio of representative CI specializes companies from the introduction period of CI to the present, and analyze the features of the time in order to present the basis of the direction of symbol mark design for the creation of future corporate images.

• Journal of Korea Multimedia Society
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• v.16 no.11
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• pp.1325-1337
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• 2013

Music affects sensitivity and emotion of human, emotional power of the music has been applied to various fields. Especially, to visualize as well as listen to music is able to create various atmosphere. In this paper, we proposed sensitivity control system for interaction with people to merge music and lighting. Because existing FT(Fourier Transform) has not information about the time, to analyze information of changed signal according to the time is difficult. In order to solve such a problem, we use STFT(Short Time Fourier Transform) method to analyze music signal. and also, we classified music for three genre and compared the frequency characteristics according to genre, and control the color, brightness of LED light based on the frequency components within analysis range. Unlike existing LED lighting control study using music, we had color control of emotional lighting and brightness control using variation amount of music signal in this paper. Proposed lighting control system will be able to utilize various industry fields as well as emotional lighting.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.9
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• pp.906-910
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• 2008

As the mobile environment becomes widely used, there is a growth on the concern about recognizing and sharing user context. Sharing context makes the interaction between human more plentiful as well as helps to keep a good social relationship. Recently, it has been applied to some messengers or mobile applications with sharing simple contexts, but it is still required to recognize and share more complex and diverse contexts. In this paper, we propose a context-aware messenger that collects various sensory information, recognizes representative user contexts such as emotion, stress, and activity by using dynamic Bayesian networks, and visualizes them. It includes a modular model that is effective to recognize various contexts and displays them in the form of icons. We have verified the proposed method with the scenario evaluation and usability test.

• The Korean Journal of Applied Statistics
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• v.31 no.5
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• pp.539-554
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• 2018

Effective interaction between user and device is considered an important ability of IoT devices. For some applications, it is necessary to recognize human facial expressions in real time and make accurate judgments in order to respond to situations correctly. Therefore, many researches on facial image analysis have been preceded in order to construct a more accurate and faster recognition system. In this study, we constructed an automatic recognition system for facial expressions through two steps - a facial recognition step and a classification step. We compared various models with different sets of data with pixel information, landmark coordinates, Euclidean distances among landmark points, and arctangent angles. We found a fast and efficient prediction model with only 30 principal components of face landmark information. We applied several prediction models, that included linear discriminant analysis (LDA), random forests, support vector machine (SVM), and bagging; consequently, an SVM model gives the best result. The LDA model gives the second best prediction accuracy but it can fit and predict data faster than SVM and other methods. Finally, we compared our method to Microsoft Azure Emotion API and Convolution Neural Network (CNN). Our method gives a very competitive result.

• Journal of the Korea Society of Computer and Information
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• v.17 no.11
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• pp.133-140
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• 2012

In this paper, we propose a music recommendation method considering users' tags by collaborative tagging in a social music site. Since collaborative tagging allows a user to add keywords chosen by himself to web resources, it provides users' preference about the web resources concretely. In particular, emotional tags which represent human's emotion contain users' musical preference more directly than factual tags which represent facts such as musical genre and artists. Therefore, to classify the tags into the emotional tags and the factual tags and to assign weighted values to the emotional tags, a tag ontology called UniTag is developed. After preprocessing the tags, the weighted tags are used to create user profiles, and the music recommendation algorithm is executed based on the profiles. To evaluate the proposed method, a conventional playcount-based recommendation, an unweighted tag-based recommendation, and an weighted tag-based recommendation are executed. Our experimental results show that the weighted tag-based recommendation outperforms other two approaches in terms of precision.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1293-1301
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• 2017

Recent changes in social structure, such as nuclear family and personalization, are leading to personal and social problems, which may cause various problems due to negative emotional amplification. The absence of a family member who gives a sense of psychological stability in the past can be considered as a representative cause of the emotional difficulties of modern people. This personal and social problem is solved through the empathic interaction of the companion robot communication with users in daily life. In this study, we developed sophisticated empathic interaction design through prototyping of emotional robots. As a result, it was confirmed that the face interaction greatly affects the emotional interaction of the emotional robot and the interaction of the robot improves the emotional sense of the robot. This study has the theoretical and practical significance in that the emotional robot is made more sophisticated interaction and the guideline of the sympathetic interaction design is presented based on the experimental results.