• Title/Summary/Keyword: Anger Expression

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A Case of Cerebral Infarction Patient Complaining Post-Stroke Aggression Accompanying Anxiety Treated with Combined Korean Medical Treatment (뇌졸중 후 불안을 동반한 공격성을 호소하는 뇌경색 환자에 대한 복합 한의치험 1례)

  • Dabin Lee;Seon-Uk Jeon;Geun Young Kim;Ki-Ho Cho;Sang-Kwan Moon;Woo-Sang Jung;Seungwon Kwon;Han-Kyul Lee
    • The Journal of the Society of Stroke on Korean Medicine
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    • v.24 no.1
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    • pp.67-76
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    • 2023
  • Post-stroke aggression refers to aggressive behaviors and languages which are occurred after stroke. In stroke patients, over 15% suffer from the anger and the symptom lowers the quality of life of the patients, family, and caregivers. After diagnosing post-stroke aggression, selective serotonin re-uptake inhibitor(SSRI) and beta-blocker, beta adrenergic agonist treatment usually underwent to treat the anger and anxiety of the patient. In the present case, a 81-year-old female patient with post-stroke aggression underwent Korean medical treatment by Jodeungsan and Ukgansan for 49 days. The effect of the treatment was assessed with State-Trait Anger Expression Inventory(STAXI) per a week, roaming time per a week and roaming frequency per a week. After the treatment, STAXI score, roaming time, and roaming frequecy decreased, and the patient could successfully cease to take beta-blocker, which she started to take for treating her aggression, without any side-effects. This case report suggests that Ukgansan might be an effective option with post-stroke aggression patients taking medication including beta-blocker.

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Weighted Soft Voting Classification for Emotion Recognition from Facial Expressions on Image Sequences (이미지 시퀀스 얼굴표정 기반 감정인식을 위한 가중 소프트 투표 분류 방법)

  • Kim, Kyeong Tae;Choi, Jae Young
    • Journal of Korea Multimedia Society
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    • v.20 no.8
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    • pp.1175-1186
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    • 2017
  • Human emotion recognition is one of the promising applications in the era of artificial super intelligence. Thus far, facial expression traits are considered to be the most widely used information cues for realizing automated emotion recognition. This paper proposes a novel facial expression recognition (FER) method that works well for recognizing emotion from image sequences. To this end, we develop the so-called weighted soft voting classification (WSVC) algorithm. In the proposed WSVC, a number of classifiers are first constructed using different and multiple feature representations. In next, multiple classifiers are used for generating the recognition result (namely, soft voting) of each face image within a face sequence, yielding multiple soft voting outputs. Finally, these soft voting outputs are combined through using a weighted combination to decide the emotion class (e.g., anger) of a given face sequence. The weights for combination are effectively determined by measuring the quality of each face image, namely "peak expression intensity" and "frontal-pose degree". To test the proposed WSVC, CK+ FER database was used to perform extensive and comparative experimentations. The feasibility of our WSVC algorithm has been successfully demonstrated by comparing recently developed FER algorithms.

Development and Evaluation of the Marital Equality Education Program for Women Farmers and their Husband (농촌 부부평등교육 프로그램 개발 및 효과검증)

  • 최규련
    • Journal of Families and Better Life
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    • v.20 no.3
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    • pp.73-85
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    • 2002
  • The purpose of this study was to develop and evaluate the Marital Equality Education Program for women farmers and their husband. Based on the empirical research result of 980 women farmers as basic study for developing this program, marital equality theory, system theory, strong family perspective, stress coping theory, anger control theory, modified Couple Communication Program, marriage enrichment methods, 7 session program was developed. The contents of every session were Reviewing Marriage Relationships, Coping Role Stress, Marital Equality, Self Expression & Speaking, Understanding Spouse & Listening, Anger Control& Resolving Conflict, and Enhancing Marital Relations. The effectiveness of this program was evaluated by pretest, post test, and follow-up 1 month later through 35 rural couples(women farmers and their husband) and it was analyzed by paired t-test and qualitative evaluation was also investigated. The major results were as follows : This program was effective in improving their self-esteem, marital satisfaction, coping role stress & conflicts, and husband's egalitarian role attitude & practice. The results suggested the program had also Positive impacts on the marital equality and relationships. Future research and practical implications were added.

Kinetic Analysis of Gam-ki in the Korean Traditional Dance during Expressing Different Emotions (한국무용 감기 동작 시 표현하고자 하는 감정에 따른 운동역학적 차이)

  • Cho, Nam-Gyu;Oh, Seong-Geun
    • Korean Journal of Applied Biomechanics
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    • v.25 no.2
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    • pp.207-218
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    • 2015
  • Objective : The purpose of this study was to investigate the characteristics of Gam-ki (double-arm winding) depending on the emotion being expressed. Gam-ki is one of the basic movements of Korean traditional dance. Method : We selected three Korean traditional dancers who belong to National Dance Company of Korea. They were asked to express four different emotions (anger, joy, sadness, and neutral) while performing Gam-ki. We analyzed elapsed time and time ratio, size of movement, ground reaction forces and ground impulses. Results : During Gam-ki the elapsed time for each phase as well as for one cycle was longest when "sadness" was expressed then followed by "neutral" and then "angry" and "joy." Except for the ankle in/eversion, the ROMs of the lower limb joints seem not to be an emotion-characteristic factor. The ROMs of the upper limb joints were largest when "anger" was expressed. Neck rotation is associated with expressing negative emotions ("angry" and "sadness"). For medial-lateral GRF "angry"> "joy" > "neutral" > "sadness" was in order. Therefore, it can be regarded as a factor indicating the activity of the emotion.

Representation Strategy for Participatory Spectatorship in Silence (<도가니>의 참여적인 관객성을 위한 재현전략)

  • Ghe, Woon-Gyoung
    • The Journal of the Korea Contents Association
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    • v.14 no.9
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    • pp.85-92
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    • 2014
  • This study analyzes what kind of representation strategies make popularity in Silence. As audiences come together in cyber public sphere, 'participatory spectatorship' is made. Its sources are classical narrative mode and collective memories which are the devices to goad audience to anger. Silence reveals self-reflexivity because fact-based film has effect on allowing the audience to be aware of the reality constantly. However, the devices which maximize audience's anger aroused ethical controversy. Silence's unethical expression is the strategy for representing the popularity and the methodology for social ethics.

Clinical Effects of Korean Medical Treatment on Depressive Disorder using Depression and Anxiety Scales (우울, 불안 척도를 통해 살펴본 우울증 환자에 대한 한의학적 치료 효과에 대한 연구)

  • An, Yunyoung;Kim, Lakhyung;Yoo, Jongho
    • Journal of Oriental Neuropsychiatry
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    • v.33 no.3
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    • pp.317-327
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    • 2022
  • Objectives: To examine clinical effects of Korean medical treatment on depressive disorder. Methods: Medical records of 102 patients diagnosed with depressive disorder who were treated with Korean medical treatment (herbal-medication, acupuncture, Korean psychotherapy) for at least 12 weeks and measured psychological scales (Beck Depression Inventory-II (BDI-II), State-Trait Anxiety Inventory (STAI), Beck Anxiety Inventory (BAI), and State-Trait Anger Expression Inventory (STAXI)) every 4 weeks were analyzed. Results: After 12 weeks of treatment, BDI-II, STAI-X-1/2, BAI, and STAXI-S/T all decreased statistically significantly. STAI-X-1 and BAI were significantly decreased throughout the treatment interval (comparisons every 4 weeks). The other four scales decreased significantly from 0 to 4 weeks and from 8 to 12 weeks. Conclusions: Treatment for depressive disorder with Korean Medicine was effective not only in improving overall symptoms of depressed patients, but also in improving accompanying anxiety, anger, and physical symptoms. In addition, since all scores were gradually decreased, continuous treatment would be important.

Risk Situation Recognition Using Facial Expression Recognition of Fear and Surprise Expression (공포와 놀람 표정인식을 이용한 위험상황 인지)

  • Kwak, Nae-Jong;Song, Teuk Seob
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.3
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    • pp.523-528
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    • 2015
  • This paper proposes an algorithm for risk situation recognition using facial expression. The proposed method recognitions the surprise and fear expression among human's various emotional expression for recognizing risk situation. The proposed method firstly extracts the facial region from input, detects eye region and lip region from the extracted face. And then, the method applies Uniform LBP to each region, discriminates facial expression, and recognizes risk situation. The proposed method is evaluated for Cohn-Kanade database image to recognize facial expression. The DB has 6 kinds of facial expressions of human being that are basic facial expressions such as smile, sadness, surprise, anger, disgust, and fear expression. The proposed method produces good results of facial expression and discriminates risk situation well.

Color and Blinking Control to Support Facial Expression of Robot for Emotional Intensity (로봇 감정의 강도를 표현하기 위한 LED 의 색과 깜빡임 제어)

  • Kim, Min-Gyu;Lee, Hui-Sung;Park, Jeong-Woo;Jo, Su-Hun;Chung, Myung-Jin
    • 한국HCI학회:학술대회논문집
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    • 2008.02a
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    • pp.547-552
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    • 2008
  • Human and robot will have closer relation in the future, and we can expect that the interaction between human and robot will be more intense. To take the advantage of people's innate ability of communication, researchers concentrated on the facial expression so far. But for the robot to express emotional intensity, other modalities such as gesture, movement, sound, color are also needed. This paper suggests that the intensity of emotion can be expressed with color and blinking so that it is possible to apply the result to LED. Color and emotion definitely have relation, however, the previous results are difficult to implement due to the lack of quantitative data. In this paper, we determined color and blinking period to express the 6 basic emotions (anger, sadness, disgust, surprise, happiness, fear). It is implemented on avatar and the intensities of emotions are evaluated through survey. We figured out that the color and blinking helped to express the intensity of emotion for sadness, disgust, anger. For fear, happiness, surprise, the color and blinking didn't play an important role; however, we may improve them by adjusting the color or blinking.

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A Study on the Birth and Development Process of Soul Music (소울(Soul)음악의 탄생과 발전과정에 대한 고찰)

  • Gong, Jin-Seok;Cho, Tae-Seon
    • Journal of Digital Convergence
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    • v.15 no.12
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    • pp.455-460
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    • 2017
  • In popular music, soul music is becoming an evaluation criteria in Korea. Blues, a songer music that was singing and lamenting Filed Holler and their suffering in a vast land of black blood and sweat, which became the mother of music to understand our enthusiastic soul music. And the only spiritual haven, church music and important musicians. Especially in the 1960s Americans social background is the most important factor to understand the soul music of birth time. Our country, which has undergone tremendous colonial rule amid numerous foreign invasions, is naturally ashamed of its aging skies. For Black-Americans soul music is an expression and anger expression anger. However, many musicians, who are flooded with floods in our country, are destined to experience the essence of life. 'Soul music' the noble choice of choice music, is known to be the ultimate reminder of the misery of the eternal disaster. As soul music has become a powerful it is understandable that it has become an exaggeration.

Korean Emotional Speech and Facial Expression Database for Emotional Audio-Visual Speech Generation (대화 영상 생성을 위한 한국어 감정음성 및 얼굴 표정 데이터베이스)

  • Baek, Ji-Young;Kim, Sera;Lee, Seok-Pil
    • Journal of Internet Computing and Services
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    • v.23 no.2
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    • pp.71-77
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    • 2022
  • In this paper, a database is collected for extending the speech synthesis model to a model that synthesizes speech according to emotions and generating facial expressions. The database is divided into male and female data, and consists of emotional speech and facial expressions. Two professional actors of different genders speak sentences in Korean. Sentences are divided into four emotions: happiness, sadness, anger, and neutrality. Each actor plays about 3300 sentences per emotion. A total of 26468 sentences collected by filming this are not overlap and contain expression similar to the corresponding emotion. Since building a high-quality database is important for the performance of future research, the database is assessed on emotional category, intensity, and genuineness. In order to find out the accuracy according to the modality of data, the database is divided into audio-video data, audio data, and video data.