• Journal of Digital Convergence
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• v.13 no.8
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• pp.457-463
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• 2015

The image distortion field has been studied and applied variously in the fields of engineering and art. This research is to express artistic sense by using the engineering technology on image distortion. In order to do this, the paper first examines the aesthetic interpretations on artistic expressions of image distortion. Then, it explains that image distortion using magnetic force can be an artistic expression method and includes user immersion elements. In addition, it demonstrates that image distortion can be used as an artistic emotional expression based on interaction. This research will contribute to the production and development of creative emotional contents through the convergence of scientific technology and art.

• Journal of Digital Contents Society
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• v.15 no.6
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• pp.751-761
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• 2014

Color deficient people do not have sufficient discernment for the colors with low saturation and brightness and at the same time express their negative emotions regarding emotion distortion. The purpose of recovering the distortion of the vision which is the basis for emotion is to increase positive emotions rather than negative ones that those with color vision deficiency feel when they experience digital culture contents. Contrast increases saturation and brightness by differing the direction of their conversion and by doing so, delivers emotion distortion such as dynamic vs. static and vivid vs. somber that the original images intend to convey to those with color vision deficiency by reducing such a contrast. In this respect, this study proposes a contrast-based color conversion method to convert saturation and brightness in the zone of color conversion and identifies if this method can reduce emotion distortion by using color conversion simulation and user test.

• Science of Emotion and Sensibility
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• v.16 no.4
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• pp.557-566
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• 2013

This study is to investigate the color emotion associations of the color vision defectives, considering that the colors do have an effect on human emotional conditions. To realize this investigation, firstly we selected 100 normal persons (group C)and other 34 color vision defectives(group A), dividing the last group into two small groups as protanomaly group(group P) with 8 persons and deuteranomaly group(group D) with 16 persons. All participants have been offered to select one color from ten colors for each of three positive emotions such as 'favorite', 'happy' and 'friendly' and of three negative emotions like 'sad', 'disliked' and 'awkward'. And they selected another one color for each active and passive emotions. For 'favorite color' the group C selected 'blue' and 'red' while the group A chose 'blue'. For 'happy color' the two groups selected 'yellow'. For 'friendly color' the group C chose 'green', but the group A selected 'blue'. For 'sad color' the group C preferred 'blue', but the group A chose 'purple'. For 'disliked color' all groups selected 'bluish green'. For 'awkward color' the two groups preferred 'bluish green'. For 'active color' all groups selected 'red'. And for 'passive color' the group C chose 'bluish green', but the group A selected 'blue'. Depending on the type of color vision deficiency(group P and group D) some more differences were revealed relatively. These results should be applied to develop some intelligent color conversion technology for enhancing the usability of culture contents for color vision defectives.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2003.05a
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• pp.128-133
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• 2003

본 연구에서는 심전도 신호의 전처리 과정에서 원신호의 왜곡을 최소화하여 기저선을 제거 할 수 있는 웨이브렛 모함수를 결정하기 위하여, European S-T T database의 심전도 신호에 다양한 웨이브렛 모함수를 적용하여 기저선을 제거하였으며 제거효율을 평가하기 위하여 SNR과 RSE를 계산하였다. 실험결과 가장 우수했던 웨이브렛 모함수는 db8(diff: 27.12), coif5(diff: 25.32), sym7(diff: 25.13)이었으며, diff(meanSNR-meanRSE)의 값이 23미만으로는 심전도의 진단 파라미터까지 왜곡시키므로 사용할 수 없다는 것을 알 수 있었다.

• Science of Emotion and Sensibility
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• v.20 no.3
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• pp.71-88
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• 2017

This paper compared self-validation and regulatory focus between consumers who felt happy vs. sad prior to decision and explored the effects of self-validation on regulatory focus and information distortion. The results of empirical analysis are as follows. First, consumers who felt happy beforehand revealed larger self-validation and stronger promotion focus than those who felt sad in advance. Second, compared to sadness, just-felt happiness was found to have partially positive impact on promotion focus by means of self-validation and exercise entirely positive impact on information distortion through mediation of self-validation. This study has made theoretic contributions by identifying the differences in the extent of self-validation and promotion focus between happiness and sadness as ambient emotion felt prior to the impending decision making as well as by investigating the effects of self-validation upon information distortion.

• Cartoon and Animation Studies
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• s.5
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• pp.485-489
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• 2001

본 작품은 사실적 표현, 즉 실사에 근거한 분위기의 애니메이션에 관한 관점에서 시작한다. 물론 애니메이션에서는 생략과 과장이 자유로우며 풍자적이고 은유적인 분위기를 연출하는 것이 특징이다. 즉 사실성보다는 허구적이며 과장된 표현으로 왜곡을 가함으로써 관객들에게 극적 효과를 유발한다. 하지만 관객은 사실적이지 않은 허구인 것을 알면서도 자유로운 상상력의 오락적 분위기에 흥미를 갖는다. 아울러 본 작품은 애니메이션의 동인(動因)과 감성과의 관계를 전제로 한 애니메이션의 분석모형 작품이다. 이러한 모델 설계를 통해 대상물의 본질적인 면, 즉 사실성에 근거한 표현정도에 따라 인간의 감성이 달라질 수 있다는 가정 하에 애니메이션에 있어서 프레임 수와 대상물의 단순화 정도에 따라 감성이 어떻게 반응하고 변화하는가를 웹사이트 상에서 조사할 수 있도록 분석모형을 제작하였다. 연구작품을 위해 애니메이션의 동인이라고 할 수 있는 시간, 운동, 공간 중에서 움직임 지각에 영향을 줄 수 있는 타이밍, 즉 속도문제에 대해 프레임 수와 단순화 단계를 애니메이션의 Movement 동인에 대한 조작적 정의에 독립변수로 보았다. 분석모형의 설계는 객관적인 시각에서 대상물의 움직임을 파악할 수 있는 Duration이 짧은 유형의 대상물(말)과 중간정도의 대상물(사람), 그리고 긴 유형의 대상물(거북이)을 표본으로 선정하여 각 대상물마다 4단계의 프레임으로 나누어 좌표상의 Y축에 제작 배열하였다. 한편 단순화 단계는 대상물의 사실성에 선 드로잉에 이르기까지 4단계로 구분${\cdot}$제작하여 X축에 배열하여 각 클립별 감성언어 조사를 인터넷상에서 할 수 있도록 디자인하였다. 한편 각 클립에서 보여지는 표현향식에 대해 느끼는 감성조사는 디자인 관련 감성 형용사 중에서 본 연구에 적합한 감성언어들을 골라 조사 실시하고자 한다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1998.04a
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• pp.147-150
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• 1998

다양한 응용분야에서 디지털 칼라영상은 프린터를 통ㅎ여 출력되어진다. 이러한 출력 장비들의 하드웨어적 특성은 칼라 영상의 색을 왜곡시켜 부정확한 색 재현을 얻게 된다. 본 논문에서는 색채학적 모델에 기반한 다차 비선형변환을 이용하여 주어진 칼라 프린터의 특성을 알아내고 이를 보정하는 방법을 제시한다. 또한, 샘플의 개수를 변화하면서 비선형 변환식을 계산하여 기기의 특성화 모델링 과정에 필요한 적정수준의 샘플 개수를 제시한다. 실험을 통하여 원본의 색과 재현되어진 색의 색차를 구함으로써 제시되어진 방법의 타당성을 검증한다.

• The Journal of the Acoustical Society of Korea
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• v.25 no.6
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• pp.269-276
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• 2006

In this paper, we propose an emotion recognition system that can discriminate human emotional state into neutral or anger from the speech captured by a cellular-phone in real time. In general. the speech through the mobile network contains environment noise and network noise, thus it can causes serious System performance degradation due to the distortion in emotional features of the query speech. In order to minimize the effect of these noise and so improve the system performance, we adopt a simple MA (Moving Average) filter which has relatively simple structure and low computational complexity, to alleviate the distortion in the emotional feature vector. Then a SFS (Sequential Forward Selection) feature optimization method is implemented to further improve and stabilize the system performance. Two pattern recognition method such as k-NN and SVM is compared for emotional state classification. The experimental results indicate that the proposed method provides very stable and successful emotional classification performance such as 86.5%. so that it will be very useful in application areas such as customer call-center.

• Journal of Korea Multimedia Society
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• v.10 no.11
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• pp.1530-1537
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• 2007

In this paper, we implemented a speech emotion recognition system that can distinguish human emotional states from recorded speech captured by a single microphone and classify them into four categories: neutrality, happiness, sadness and anger. In general, a speech recorded with a microphone contains background noises due to the speaker environment and the microphone characteristic, which can result in serious system performance degradation. In order to minimize the effect of these noises and to improve the system performance, a MA(Moving Average) filter with a relatively simple structure and low computational complexity was adopted. Then a SFS(Sequential Forward Selection) feature optimization method was implemented to further improve and stabilize the system performance. For speech emotion classification, a SVM pattern classifier is used. The experimental results indicate the emotional classification performance around 65% in the computer simulation and 62% on the ARM platform.

• The Journal of the Korea Contents Association
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• v.7 no.4
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• pp.83-90
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• 2007

Flow theory has been borrowed from psychology to address positive user experiences with computers and Internet. The flow experience in computer-mediated environment (CME) has been correlated to increased communication, loaming, exploratory behavior and positive affect. A comparative experiment between CME and traditional paper-pencil environment was conducted to verify whether particular environments or interfaces are more conducive to yielding flow among users. The results showed that there were no differences in flow dimensions except 'enjoyment' between CME and paper-pencil environment. But the distorted senses of time among users were significantly different between the media environments.