• Journal of Mechanical Science and Technology
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• 제19권2호
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• pp.578-588
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• 2005

Face robots capable of expressing their emotional status, can be adopted as an efficient tool for friendly communication between the human and the machine. In this paper, we present a face robot actuated with artificial muscle based on dielectric elastomer. By exploiting the properties of dielectric elastomer, it is possible to actuate the covering skin, eyes as well as provide human-like expressivity without employing complicated mechanisms. The robot is driven by seven actuator modules such eye, eyebrow, eyelid, brow, cheek, jaw and neck module corresponding to movements of facial muscles. Although they are only part of the whole set of facial motions, our approach is sufficient to generate six fundamental facial expressions such as surprise, fear, angry, disgust, sadness, and happiness. In the robot, each module communicates with the others via CAN communication protocol and according to the desired emotional expressions, the facial motions are generated by combining the motions of each actuator module. A prototype of the robot has been developed and several experiments have been conducted to validate its feasibility.

• 정보처리학회논문지B
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• 제10B권6호
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• pp.579-586
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• 2003

감정요소를 사용한 정보검색시스템은 감정에 기반한 정보검색을 수행하기 위하여 감정시소러스를 구성하였으며 이를 사용한 감정요소추출기를 구현하였다. 감정요소추출기는 기본 5가지 감정 요소를 해당 문서에서 추출하여 문서를 벡터화시킨다. 벡터화시킨 문서들은 k-nearest neighbor, 단순 베이지안 및 상관계수기법을 사용한 2단계 투표방식을 통해 학습하고 분류하였다. 실험결과 분류 방식과 K-means를 이용한 클러스터링에서 감정요소에 기반한 방식이 더 우수하다는 결과와 5,000 단어 미만의 문서 검색에 감정기반 검색이 유리하다는 것을 보였다.

• 상하수도학회지
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• 제27권1호
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• pp.59-67
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• 2013

The odor occurring in the sewage system induces the displeasure, the disgust such as the headache, the vomit, etc. and increases the spiritual stress and disturbs the pleasant life of residents. These odors occur mainly in the area of combined sewage system treatment, being created in the personal sewage treatment plant such as septic tank and are incoming to sewage pipes and emitted to the outside through the manhole and the receiver, etc.; and this causes odors to the people. The Hydrogen Sulfide, the Methyl Mercaptan, the Ammonia, etc. are materials causing the odor, the more serious issue of odor is occurring since the septic tank of degradation process is being applied. The primary cause of odor is the decomposition of human feces in the septic tanks and sewage disposal facilities. The purpose of this study is reduction of hydrogen sulfide using air supplying and SOB(Sulfur-Oxidizing Bacteria). As a result of this study of the air supply system and the SOB media equipment by air supply, in case the air is injected to SOB media compared to the injection of air only, the removal efficiency the hydrogen sulfide was average 3.4 times higher.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 1997년도 한국감성과학회 연차학술대회논문집
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• pp.224-227
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• 1997

The International Affective Picture System (IAPS) developed by Lang and colleagues[1] is a world-widely adopted tool in studices relating a variety of physiological indices to subjective emotions induced by the presentation of standardized pictures of which subjective ratings are well established in the three dimensions of pleasure, arousal and dominance. In the present stuey we investigated whether distinctive EEG characteristics for six discrete emotions can be discernible using 12 IAPS pictures that scored highest subjective ratings for one of the 6 categorical emotions, i. e., happiness, sadness, fear, anger, disgust, and surprise (Two slides for each emotion). These pictures as visual stimuli were randomly given to 38 right-handed college students (20-26 years old) with 30 sec of exposure time and 30sec of inter-stimulus interval for each picture while EEG signals were recorded from F3, F4, O1, and O2 referenced to linked ears. The FFT technoque were used to analyze the acquired EEG data. There were significant differences in RP value changes of EEG bands, most prominent in theta, between positive positive and negative emotions, and partial also among negative emotions. This result is in agreement with previous studies[2, 3]. However, it requires further studied to decided whether IAPS could be a useful tool for catigorical approaches to emotion in addition to its traditional uwe, namely dimensional to emotion.

• 한국IT서비스학회지
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• 제16권4호
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• pp.149-160
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• 2017

Sentiment analysis is the process of determining whether a piece of document, text or conversation is positive, negative, neural or other emotion. Sentiment analysis has been applied for several real-world applications, such as chatbot. In the last five years, the practical use of the chatbot has been prevailing in many field of industry. In the chatbot applications, to recognize the user emotion, sentiment analysis must be performed in advance in order to understand the intent of speakers. The specific emotion is more than describing positive or negative sentences. In light of this context, we propose deep learning models for conducting multi-class sentiment analysis for identifying speaker's emotion which is categorized to be joy, fear, guilt, sad, shame, disgust, and anger. Thus, we develop convolutional neural network (CNN), long short term memory (LSTM), and multi-layer neural network models, as deep neural networks models, for detecting emotion in a sentence. In addition, word embedding process was also applied in our research. In our experiments, we have found that long short term memory (LSTM) model performs best compared to convolutional neural networks and multi-layer neural networks. Moreover, we also show the practical applicability of the deep learning models to the sentiment analysis for chatbot.

• 한국콘텐츠학회논문지
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• 제14권9호
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• pp.476-483
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• 2014

본 논문은 국내 표정 연구에 적합한 얼굴 표정 이미지를 제작하는 것에 목적을 두었다. 이를 위해서 1980년대 태생의 한국인의 표준 형상에 FACS-Action Unit을 결합하여, KSFI(Korean Standard Facial Image) AU set를 제작하였다. KSFI의 객관성을 확보하기 위해 6가지 기본 감성(슬픔, 행복, 혐오, 공포, 화남, 놀람) 이미지를 제작하여, 감성 별 인식 정확률과 얼굴 요소의 감성인식 기여도를 평가하였다. 실험 결과, 정확률이 높은 행복, 놀람, 슬픔, 분노의 이미지의 경우 주로 눈과 입의 얼굴 요소를 통해 감성을 판단하였다. 이러한 연구 결과를 통해 본 연구에서는 표정 이미지의 AU 변경할 수 있는 KSFI 콘텐츠를 제안하였다. 향후 KSFI가 감성 인식률 향상에 기여할 수 있는 학습 콘텐츠로서의 역할을 할 수 있을 것으로 사료된다.

• 한국의류학회지
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• 제29권11호
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• pp.1444-1453
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• 2005

In this study, I tried to analyze the characteristics of modem punk fashion by applying characteristics of modem cultural phenomena. The method of this study is the qualitative study: I analyzed collections from 1996 to 2003 by suggesting an analysis frame based on bibliological studies and applying internet photo materials to the analysis frame. As a result, modem punk fashion has the following characteristics. First, it tends to promote things that are entirely different from the previous expression methods by using the overlapping of texts combined with things that are heterogeneous. Second, the scope of its decoration has been expanded with the aid of the expression method, in which the objects that had not been used as decoration previously have been transformed into media. Third, the appearance of non-mainstream group who has suggested the anti-mainstream thought that violates the uniformed beauty of punk group has expanded the scope of classes that accept the punk fashion. Lastly, clothes, wigs and accessories have been commercialized through the permanent modification that used to signify resistance and disgust such as the expression methods of image replicas using tattoo, piercing, and transformation of hair. In doing so, punk fashion has been generalized and popularized. Such modem punk fashion reflects the change of society such as social transformation that is occupied by images thanks to its complexity and pluralism and the development of public media.

• 한국정보과학회논문지:소프트웨어및응용
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• 제27권8호
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• pp.827-833
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• 2000

본 논문에서는 인간의 중요한 감정표현 수단인 얼굴표정을 분석하는 방법을 제시하였다. 제안된 방법에서는 기준얼굴과 그의 혼합 비율의 관점에서 얼굴표정을 분석한다. 기준얼굴은 인간의 대표적인 얼굴표정인 놀람, 두려움, 분노, 혐오, 행복, 슬픔, 그리고 무표정으로 설정하였다. 얼굴 모델의 생성을 위해 일반 얼굴 모델이 얼굴영상으로 정합하는 방법을 사용하였다. 기준얼굴의 혼합 비율을 구하기 위해 유전자 알고리즘과 Simulated Annealing 방법을 사용하였고 탐색된 얼굴표정 정보를 이용한 얼굴표정 생성 실험을 통해 제안된 방법의 유용성을 입증하였다.

• Nutrition Research and Practice
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• 제15권1호
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• pp.122-135
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• 2021

BACKGROUND/OBJECTIVES: The purpose of this study was to measure consumer acceptance of edible insect foods (EIFs) while applying the extended theory of planned behavior (ETPB). Insects as food have attracted interest as potential possible sources of nutrition for the future. This study investigated consumers' perception toward insect food and future purchase behaviors. SUBJECTS/METHODS: A survey was conducted among citizens of Korea. About two thirds of respondents had tried an EIF previously, and the mean value for food neophobia was 3.1 on a 5-point Likert scale. Respondents were divided into 2 groups of those experienced with EIFs and those not and by level of food neophobia. An independent t-test, multiple regression and descriptive analyses were conducted on the data. RESULTS: The primary reason for not eating EIFs was that their insect form induced disgust. Comparisons of ETPB attributes by experience with EIFs showed significant differences between groups for food neophobia, subjective norm, attitude, and behavioral intention. In addition, significant differences were found for subjective norm, perceived behavioral control, attitude, and behavioral intention between 2 neophobia groups. Finally, the results of measuring the relationships between ETPB attributes and behavioral intention showed only subjective norm and attitude affected behavioral intention. CONCLUSIONS: These results suggest that enhanced subjective norms producing a publicly accepted EIFs environment would help encourage the purchase of EIFs. The results of this study can help the development of EIF products for future food markets.

• Journal of Multimedia Information System
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• 제9권2호
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• pp.137-144
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• 2022

This research aims to identify the relationship between visual perception and emotion by the types of fear responses elicited from warning images on cigarette packages as well as the effectiveness of the size of such images through questionnaires and eye-tracking experiments with twenty university students from the colleges based in Busan. The research distinguished and analyzed the warning images as rational appeals and emotional appeals by the degree of fear and disgust and the result concurred with the research conclusions of Maynard that people would naturally avoid eye contact when presented with a warning image on cigarette packages. Also, eye avoidance was highly identified with larger (75%) warning images. While the previous research mostly adopted the self-rated validation method, this research tried to make the methodology more objective by adopting both questionnaires and eye-tracking experiments. Through this research, authors contribute to finding effective warning images on cigarette packages in a way to increase public awareness of the dangers of smoking and discourage smoking. Further research is recommended to explore the effectiveness of using explicit images on cigarette packages by the types of smokers such as heavy smokers, normal smokers, and non-smokers.