• Title/Summary/Keyword: express emotion

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Study on the development for social DMB app service (소셜 DMB 서비스 앱 개발에 관한 연구)

  • Won, Chung-ho
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.7 no.2
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    • pp.69-81
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    • 2014
  • SBS has developed "Social DMB App" and now the service through Android market, where the viewers can produce and share their emotion related in program using twitter while watching real-time DMB broadcasting program at the same time. Previously, it is difficult to combine TV and social media because of the difference of family shared medium and individual service. But, DMB, individual mobile broadcast service, can offer new interest to the viewer by integrating social media service and broadcast. The service base was provided to the viewer where they can use original contents of broadcasters by constructing social circle and they are able to express and share their emotion through social DMB app. In this paper, introduce of development technical for social DMB app service include of configuration app servic, link of DMB broadcasting and facebook.

A study on the similarities between folk painting and illustration(Concentrating on functions and roles, molding specificity) (민화와 일러스트레이션의 유사성 연구(기능과 역할, 조형특성을 중심으로))

  • 유동관
    • Archives of design research
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    • v.15 no.4
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    • pp.111-120
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    • 2002
  • Folk paintings influence the lifestyle of the general public, and is visible practical communication presenting emotion, feelings and phenomenon through various functions and aesthetic molding specificity. Illustration as a medium for conveying information in modern society is time communication forming time circumstance based on a creative image, becoming an importance in the means of molding an active information society. Folk paintings and illustration express the subject of various kinds of stories of surroundings of daily lives ironically, humorously and symbolically, convey it in an accurate and detailed way in the various use of color and shape representation, and have a similar specificity as the general public's art influencing the society, culture, and environment, the general public's emotion and feelings of that time. The current research is to suggest the possibility and direction of Korean image representation in illustration by analyzing folk painting and illustration characters based on social, cultural function and role and molding specificity.

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1960's Acting Method of Experimental Theater (1960년대의 실험극 연기 메소드 연구)

  • Park, Ho-Young
    • The Journal of the Korea Contents Association
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    • v.9 no.11
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    • pp.184-191
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    • 2009
  • Ideas regarding acting among new theater groups In the 1960s can be summarized in two major trends. The first trend was characterized with the pursuit of identity in a play. The second trend was characterized with the pursuit of creating a play that strongly and passionately explores internal human reality. In their pursuit of the goal of the second trend, they shockingly and strongly destroyed anything by rising in revolt against the existing spatial language. They believed that acting beyond acting as pursued by Stanislavski is not to implant a new type of human, but to develop the self hidden within the actor or to remove the actor's mask. Based on such recognition, the first thing that actors have to do is to remove or break free from the shell or skin that surrounds them. Accordingly, they sought a method that helped them act while taking off their shell or mask during acting and finally got the answer from "improvisation." One thing with improvisation is its way of stimulating the unconscious world of the actors in order to allow them to strongly express the hidden instinctive emotion from deep within them.

An Action Unit co-occurrence constraint 3DCNN based Action Unit recognition approach

  • Jia, Xibin;Li, Weiting;Wang, Yuechen;Hong, SungChan;Su, Xing
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.3
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    • pp.924-942
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    • 2020
  • The facial expression is diverse and various among persons due to the impact of the psychology factor. Whilst the facial action is comparatively steady because of the fixedness of the anatomic structure. Therefore, to improve performance of the action unit recognition will facilitate the facial expression recognition and provide profound basis for the mental state analysis, etc. However, it still a challenge job and recognition accuracy rate is limited, because the muscle movements around the face are tiny and the facial actions are not obvious accordingly. Taking account of the moving of muscles impact each other when person express their emotion, we propose to make full use of co-occurrence relationship among action units (AUs) in this paper. Considering the dynamic characteristic of AUs as well, we adopt the 3D Convolutional Neural Network(3DCNN) as base framework and proposed to recognize multiple action units around brows, nose and mouth specially contributing in the emotion expression with putting their co-occurrence relationships as constrain. The experiments have been conducted on a typical public dataset CASME and its variant CASME2 dataset. The experiment results show that our proposed AU co-occurrence constraint 3DCNN based AU recognition approach outperforms current approaches and demonstrate the effectiveness of taking use of AUs relationship in AU recognition.

Emotion Analysis Using a Bidirectional LSTM for Word Sense Disambiguation (양방향 LSTM을 적용한 단어의미 중의성 해소 감정분석)

  • Ki, Ho-Yeon;Shin, Kyung-shik
    • The Journal of Bigdata
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    • v.5 no.1
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    • pp.197-208
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    • 2020
  • Lexical ambiguity means that a word can be interpreted as two or more meanings, such as homonym and polysemy, and there are many cases of word sense ambiguation in words expressing emotions. In terms of projecting human psychology, these words convey specific and rich contexts, resulting in lexical ambiguity. In this study, we propose an emotional classification model that disambiguate word sense using bidirectional LSTM. It is based on the assumption that if the information of the surrounding context is fully reflected, the problem of lexical ambiguity can be solved and the emotions that the sentence wants to express can be expressed as one. Bidirectional LSTM is an algorithm that is frequently used in the field of natural language processing research requiring contextual information and is also intended to be used in this study to learn context. GloVe embedding is used as the embedding layer of this research model, and the performance of this model was verified compared to the model applied with LSTM and RNN algorithms. Such a framework could contribute to various fields, including marketing, which could connect the emotions of SNS users to their desire for consumption.

The Characteristics of South Korea's New Northern Policy and Cooperation with Eurasia Countries' Initiatives Focused on China, Mongolia and Russia (인간의 불안 심리를 반영한 장신구 디자인 연구)

  • Kim, Sung-Ryun
    • Journal of Digital Convergence
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    • v.17 no.8
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    • pp.367-372
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    • 2019
  • Today we are living in a capitalist society where competition is prevalent and natural phenomenon. We compare ourselves to others in overheated competition, concerning the views of others. We comfort many assessments of other that causes in anxiety and controls our behaviors unconsciously. We hypothesize that such anxiety originate from eyes of others, and studied anxiety in general and anxiety about other's gaze. Specifically, the study of ornament was conducted with emphasis on the eye and intense colors from the anxiety of competition in famous movie "Black Swan". We used color in the art work as a tool to reflect the authors inner phycology, and tried to deliver author's emotion and message simultaneously. Moreover, we tried to share and express the anxiety of modern people through the from of "eye".

Development of Sensibility Vocabulary Classification System for Sensibility Evaluation of Visitors According to Forest Environment

  • Lee, Jeong-Do;Joung, Dawou;Hong, Sung-Jun;Kim, Da-Young;Park, Bum-Jin
    • Journal of People, Plants, and Environment
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    • v.22 no.2
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    • pp.209-217
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    • 2019
  • Generally human sensibility is expressed in a certain language. To discover the sensibility of visitors in relation to the forest environment, it is first necessary to determine their exact meanings. Furthermore, it is necessary to sort these terms according to their meanings based on an appropriate classification system. This study attempted to develop a classification system for forest sensibility vocabulary by extracting Korean words used by forest visitors to express their sensibilities in relation to the forest environment, and established the structure of the system to classify the accumulated vocabulary. For this purpose, we extracted forest sensibility words based on literature review of experiences reported in the past as well as interviews of forest visitors, and categorized the words by meanings using the Standard Korean Language Dictionary maintained by the National Institute of the Korean Language. Next, the classification system for these words was established with reference to the classification system for vocabulary in the Korean language examined in previous studies of Korean language and literature. As a result, 137 forest sensibility words were collected using a documentary survey, and we categorized these words into four types: emotion, sense, evaluation, and existence. Categorizing the collected forest sensibility words based on this Korean language classification system resulted in the extraction of 40 representative sensibility words. This experiment enabled us to determine from where our sensibilities that find expressions in the forest are derived, that is, from sight, hearing, smell, taste, or touch, along with various other aspects of how our human sensibilities are expressed such as whether the subject of a word is person-centered or object-centered. We believe that the results of this study can serve as foundational data about forest sensibility.

Analysis on the Movement Found in an Animation - Focusing on Laban's Effort - (애니메이션 <몬스터 대학교>의 움직임 분석 -라반의 에포트를 중심으로)

  • Sung, Rea
    • Cartoon and Animation Studies
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    • s.40
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    • pp.33-53
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    • 2015
  • The movement of characters is one of the crucial elements to deliver their emotion flowing inside. Though it is the same movement, it may appear or be expressed differently according to the character's personality or emotion or the particular situation. The purpose of this study is to analyze not only the movement found superficially in an animation but also a character's internal emotion and attitude with Laban's movement analysis system, particularly effort, one of its analysis categories, and examine how effectively Laban's movement analysis often employed at the circles of dance can analyze movement in an animation. is about a monster that constantly makes efforts to realize its dream to be a scarer. Functional movement forms the most part, but expressive movement to show how a character thinks or feels also appears harmoniously. Characters' externally shown movement can express their internal emotion properly sometimes, but they also often move expressing their feelings in moderation. Therefore, this study analyzes the movement of characters found in the four scenes of with LMA's effort. According to the findings, at the scene where Michael enters the door leading to the human world following the scarer, the emotional state of Michael envious of the scarer is expressed with the Vision Drive giving the strong feel of dreaming. At the scene of the second game to choose the best scare team, it shows us the Spell Drive with its careful and light movement having clear intention to survive at the game. At the scene where there is a party held for the teams that have survived, it shows the Passion Drive of being eagerly expressing happy and delightful feelings without considering what is around. At the scene where Michael and Sullivan are pursued by people, the Action Drive was used to express movement that was heavy and strong and was getting faster gradually by focusing the feelings of the characters in haste into one place.

Case study of Music & Imagery for Woman with Depression (우울한 내담자를 위한 MI(Music & Imagery) 치료사례)

  • Song, In Ryeong
    • Journal of Music and Human Behavior
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    • v.5 no.1
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    • pp.67-90
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    • 2008
  • This case used MI techniques that give an imagery experience to depressed client's mental resource, and that makes in to verbalism. Also those images are supportive level therapy examples that apply to positive variation. MI is simple word of 'Music and Imagery' with one of psychology cure called GIM(Guided Imagery and Music). It makes client can through to the inner world and search, confront, discern and solve with suitable music. Supportive Level MI is only used from safety level music. Introduction of private session can associate specification feeling, subject, word or image. And those images are guide to positive experience. The First session step of MI program is a prelude that makes concrete goal like first interview. The Second step is a transition that can concretely express about client's story. The third step is induction and music listening. And it helps to associate imagery more easily by used tension relaxation. Also it can search and associate about various imagery from the music. The last step is process that process drawing imagery, talking about personal imagery experience in common with therapist that bring the power by expansion the positive experience. Client A case targets rapport forming(empathy, understanding and support), searching positive recourse(child hood, family), client's emotion and positive support. Music must be used simple tone, repetition melody, steady rhythm and organized by harmony music of what therapist and client's preference. The client used defense mechanism and couldn't control emotion by depression in 1 & 2 sessions. But the result was client A could experience about support and understanding after 3 sessions. After session 4 the client had stable, changed to positive emotion from the negative emotion and found her spontaneous. Therefore, at the session 6, the client recognized that she will have step of positive time at the future. About client B, she established rapport forming(empathy, understanding and support) and searching issues and positive recognition(child hood, family), expression and insight(present, future). The music was comfortable, organizational at the session 1 & 2, but after session 3, its development was getting bigger and the main melody changed variation with high and low of tune. Also it used the classic and romantic music. The client avoids bad personal relations to religious relationship. But at the session 1 & 2, client had supportive experience and empathy because of her favorite, supportive music. After session 3, client B recognized and face to face the present issue. But she had avoidance and face to face of ambivalence. The client B had a experience about emotion change according depression and face to face client's issues After session 4. At the session 5 & 6, client tried to have will power of healthy life and fairly attitude, train mental power and solution attitude in the future. On this wise, MI program had actuality and clients' issues solution more than GIM program. MI can solute the issue by client's based issue without approach to unconsciousness like GIM. Especially it can use variety music and listening time is shorter than GIM and structuralize. Also can express client's emotion very well. So it can use corrective and complement MI program to children, adolescent and adult.

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Trend Analysis of Affective Computing Technology for Diagnosis and Therapy of Autistic Spectrum Disorder (자폐스펙트럼장애 진단 및 치료를 위한 감성 컴퓨팅 기술 동향 분석)

  • Yoon, Hyun-Joong;Chung, Seong-Youb
    • Science of Emotion and Sensibility
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    • v.13 no.3
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    • pp.429-440
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    • 2010
  • It is known that as many as 1 in 91 children are diagnosed with an autistic spectrum disorder, and the incidence rate of the autistic spectrum disorder is much higher than that of cancer in Korea. It is necessary to develop a novel technology to sense their emotional status and give proper psychological diagnosis and therapy, since the children with autistic spectrum disorder usually do not express their own emotional status. This article presents the state-of-the-arts on the affective computing technologies that include recognition of emotional status through bio-sensing and virtual affective agent modeling, and then proposes a novel system architecture for diagnosis and therapy of autistic spectrum disorder. The diagnosis and therapy system of autistic spectrum disorder is composed of bio-sensing module, virtual environment module with affective agents, and haptic interface module. The architecture proposed in this paper will enhance the objectivity to diagnose autism spectrum disorders, and enable continuous treatment in daily life.

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