• The Research Journal of the Costume Culture
• /
• v.30 no.6
• /
• pp.898-918
• /
• 2022

Contemporary fashion research has paid increasing attention to the sublimity in the context of postmodernism. Sublimity is considered essential in contemporary fashion design as it arouses complex emotions which verbal expression cannot describe. Therefore, contemporary fashion designs need to be interpreted in terms of the sublimity. Through a detailed review of literature, the present study discusses Kantian and Lyotardian sublimity as main theories representing conventional and cotemporary concepts of sublimity. This paper selected five Korean fashion designers who won the prize of Samsung Design Fund from 2006 to 2019 and actively introduce their works every year. Images were collected to analyze their designs introduced from 2018 S/S to 2019F/W at their website. In addition, formative and color characteristics were analyzed to identify the changing features of s sublimity. Major findings of analyses are as follows. First, all designers' collections reflected both male and female sublimity with the respect to its formative characteristics. Color characteristics of sublimity indicated that Jeong, Wook Jun's collections represented features of male sublimity and other designers works showed elements of female sublimity. Essentially, the typical contemporary concept of the sublimity was found in the designs of Seo, Hye In. Consequently, female sublimity is more inclusive than male sublimity, while being opened to otherness.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.22 no.8
• /
• pp.978-989
• /
• 1998

The purpose of this study is enrich the expressivity in fashion illustrations by looking into the expression of humor which is seen in the fashion illustration. In addition, this study is expected to provide a theoretical basis to the people whose works are concern with Fashion design. It is the fashion illustration that expresses the specific concept that accords with the purpose of drawing. And we need to create our own techniques freely and to develop them into higher ones. In this view, we can say that the humor in the fashion illustrations shows us the new world of expression. And we can also say that it fills the roles of social functions to purify human emotions with helping the communication between people in our highly developed society. Finally, the expression of humor in fashion illustrations can be described as followings. First, they are relate with the superiority, disparity, psychic release in the theory of humor's origin. Second, the image of humor can be induced by changing the figure of human body. Third, it can be encouraged by contrasting the different fashion images. Forth, we can use well-known icons that cause the humor does not only give us laugh but also reflect the era, society enlarge the range of expression in fashion illustrations.

• International Journal of Costume and Fashion
• /
• v.12 no.1
• /
• pp.49-63
• /
• 2012

The objectives of this study were to investigate appearance management behaviors and hairstyle preferences in accordance with personality types and self-image, and to examine the characteristics that influence simultaneously the appearance management behaviors. A survey was used for as for this research. The personality properties of introversion and extroversion were further divided, based on the aspects of emotions, thoughts, behaviors, and interpersonal psychological functions. The subjects were 383 girls in their first year of high school in Seoul. The extrovert type showed a higher level of management for clothing, hair and face than the introvert type. The emotional extrovert type and the interpersonal extrovert type showed the highest level of clothing management, the active extrovert type showed the highest level of face management, and the interpersonal introvert type showed a very low level of hail management. The high school girls who had a higher social and mature self-image showed a higher level of clothing, hair and face management. Introverted girls preferred a mid-length straight hairstyle more than extroverted girls. The higher the social and mature self-images girls had, the more they preferred a long wave hairstyle. The higher the cute image they had, the more they preferred wave hairstyle. The entire appearance management behavior was affected significantly by extroversion, mature image, and allowance, simultaneously.

• Korean Institute of Interior Design Journal
• /
• v.25 no.1
• /
• pp.81-92
• /
• 2016

Within green facades, the greening side of the wall is first recognized by people, leaving a visually lasting impression. As facades play a crucial factor in forming street image, their design can be considered most important. In modern days, 'patterns,' one of the popular elements of design, has developed into becoming a method of expressing architects' emotions or images as well as ways of seeking satisfaction. As opposed to recent overseas movement where patterned green facades have been widely utilized, the domestic trend still remains in outdoor green facades without patterns. This study, focusing on overseas patterned green facades, classifies the facade pattern's expressive methods into two greater parts, and four categories. Furthermore, among the elements and properties from Biophilic pattern guidelines, we specifically focus on 'Repetition Pattern,' which corresponds to 'Complexity & Order.' Biophilic design has the notion of pursuing an environment that aids modern people's comfort and well being. Providing information on patterned green facades that have largely gained popularity, this study also presents its aesthetic directions that may be applicable domestically in the future.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.8 no.2
• /
• pp.105-110
• /
• 2008

Human being recognizes emotion fusing information of the other speech signal, expression, gesture and bio-signal. Computer needs technologies that being recognized as human do using combined information. In this paper, we recognized five emotions (normal, happiness, anger, surprise, sadness) through speech signal and facial image, and we propose to method that fusing into emotion for emotion recognition result is applying to multimodal method. Speech signal and facial image does emotion recognition using Principal Component Analysis (PCA) method. And multimodal is fusing into emotion result applying fuzzy membership function. With our experiments, our average emotion recognition rate was 63% by using speech signals, and was 53.4% by using facial images. That is, we know that speech signal offers a better emotion recognition rate than the facial image. We proposed decision fusion method using S-type membership function to heighten the emotion recognition rate. Result of emotion recognition through proposed method, average recognized rate is 70.4%. We could know that decision fusion method offers a better emotion recognition rate than the facial image or speech signal.

• Journal of KIISE:Software and Applications
• /
• v.31 no.6
• /
• pp.799-807
• /
• 2004

In this paper, we deal with an emotion recognition method using facial images and speech signal. Six basic human emotions including happiness, sadness, anger, surprise, fear and dislike are investigated. Emotion recognition using the facial expression is performed by using a multi-resolution analysis based on the discrete wavelet transform. And then, the feature vectors are extracted from the linear discriminant analysis method. On the other hand, the emotion recognition from speech signal method has a structure of performing the recognition algorithm independently for each wavelet subband and then the final recognition is obtained from a multi-decision making scheme.

• Korean Journal of Cognitive Science
• /
• v.14 no.4
• /
• pp.33-42
• /
• 2003

This paper presents a new system for facial expression recognition based in dimension model of internal states. The information of facial expression are extracted to the three steps. In the first step, Gabor wavelet representation extracts the edges of face components. In the second step, sparse features of facial expressions are extracted using fuzzy C-means(FCM) clustering algorithm on neutral faces, and in the third step, are extracted using the Dynamic Model(DM) on the expression images. Finally, we show the recognition of facial expression based on the dimension model of internal states using a multi-layer perceptron. The two dimensional structure of emotion shows that it is possible to recognize not only facial expressions related to basic emotions but also expressions of various emotion.

• Korean Journal of Cognitive Science
• /
• v.34 no.3
• /
• pp.227-241
• /
• 2023

This study aimed to examine the influence of emotional information on task switching performance from a cross-cultural perspective. Specifically we investigated whether the impact of affective information differs between Koreans and Caucasian when they perform a switching task using pictures that express positive and negative emotions. In this study, Korean and Caucasian college students were presented with either positive or negative faces and asked to perform either an emotion or a gender judgment task based on the color of the picture frame. The results showed that the switching cost from the gender judgment task to the emotion task was significantly larger than the switching cost from the gender task to the emotion task for both Koreans and Caucasians. This asymmetric switching cost was maintained when the previous and current pictures showed the same emotion but disappeared when two images presented different emotions. Regardless of the participant's cultural background, switching costs were greater for emotional tasks where the emotion was directly related to the task than for gender tasks. However, the effect of emotional switching on switching costs varied by the individual's background. Koreans were less sensitive to whether poser's emotion was changed than Americans. These results demonstrate that emotional information affects cognitive task performance and suggest that the effects of emotion may differ depending on the individual's cultural background.

• Science of Emotion and Sensibility
• /
• v.13 no.1
• /
• pp.251-258
• /
• 2010

'Naturalness' is the important "ness" which is a key factor in image quality assessment. 'Naturalness' is a representive factor depending on the context of the image which arouses different emotions. The Image Quality Circle was split into two steps. The first step is predicting the visual perceptual attribute which are lightness, colourfulness, hue and contrast. The next step is SSE which is dependent to image contents. In this study the image contents are grouped in genres. The images were rendered using four different colour attributes which are lightness, contrast, colourfulness and hue. Using a scale, the score of image quality and SSE was asked to each participant for all rendered images. A seven-point category scale of increasing amount of "ness" is used as a quantitative adjectives sequence. The image quality model was built by combining the SSEs for each scene. The SSEs, where vividness is common, are considered as independent variables to predict the image quality score. Then the vividness model was built using colour attributes as variables to predict the vividness of each scene (genre). Vividness is an important factor of naturalness which the meaning is different for all scenes that links the naturalness and image quality. The vividness meaning was different for each scene (genre). Therefore, the colour attributes that express the vividness would depend on the image content.

• Science of Emotion and Sensibility
• /
• v.17 no.1
• /
• pp.53-62
• /
• 2014

Despite the huge potential of the practical application of emotion recognition technologies, the enhancement of the technologies still remains a challenge mainly due to the difficulty of recognizing emotion. Although not perfect, human emotions can be recognized through human images and sounds. Emotion recognition technologies have been researched by extensive studies that include image-based recognition studies, sound-based studies, and both image and sound-based studies. Studies on emotion recognition through facial expression detection are especially effective as emotions are primarily expressed in human face. However, differences in user environment and their familiarity with the technologies may cause significant disparities and errors. In order to enhance the accuracy of real-time emotion recognition, it is crucial to note a mechanism of understanding and analyzing users' personality traits that contribute to the improvement of emotion recognition. This study focuses on analyzing users' personality traits and its application in the emotion recognition system to reduce errors in emotion recognition through facial expression detection and improve the accuracy of the results. In particular, the study offers a practical solution to users with subtle facial expressions or low degree of emotion expression by providing an enhanced emotion recognition function.