• Title/Summary/Keyword: Sadness Emotion

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Emotion Recognition by CCD Color Image

  • Joo, Young-Hoon;Lee, Sang-Yoon;Oh, Jae-Heung;Sim, Kwee-Bo
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.138.2-138
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    • 2001
  • This paper proposes the technique for recognizing the human´s emotion by using the CCD color image. To do this, we first acquire the color image from the CCD camera. And then propose the method for recognizing the expressing to be represented the structural correlation of man´s feature points(eyebrows, eye, nose, mouse), In the proposed method. Human´s emotion is divided into four emotion(surprise, anger, happiness, sadness). Finally, we have proven the effectiveness of the proposed method through the experimentation.

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Development of Protocol for Standardized Emotion Induction in Children (아동 정서 유발 프로토콜 개발)

  • Jang, Eun-Hye;Yang, Gyung-Hye;Lee, Jeong-Mi;Chung, Myung-Ae;Sohn, Jin-Hun
    • Science of Emotion and Sensibility
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    • v.12 no.4
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    • pp.381-392
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    • 2009
  • The aim of this study was to develop a research protocol that provides standardized conditioning stimuli in effectively evoking emotion-specific responses in children. The protocol targets five specific emotions(i.e., happiness, sadness, anger, distress, and boredom) by introducing study participants to a combination of music, color, stories, and dolls. This research protocol also includes a self-report emotion assessment scale specially developed for this study to verify the types of emotion induced. Evaluation of the method entailed triangulation of the results from the subjects' self-reported emotional state corresponding to each conditioned stimulus as well as behavioral observations conducted by researchers. Findings suggest that this new protocol effectively evokes five emotions in correspondence to the way it was intended for appropriate emotion induction. Additionally, results showed that female children than male children are more likely to feel boredom; and school-aged children were more likely to react to sadness than pre-school children.

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An Analysis of Clothing Symbolism on Mood and Emotion Described in Charles Dickens' Novels (Charles Dickens 소설에 나타난 복식 상징성 연구 -기분 및 감정을 중심을-)

  • 이유경;김진구
    • The Research Journal of the Costume Culture
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    • v.2 no.1
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    • pp.39-53
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    • 1994
  • This paper analyzes clothing symbolism of mood and emotion described in master pieces of Charles dickens(2812∼1870), who is a well-known writer of England, and thus tries to clarify symbolic characteristics of clothing woven into all human lives.. The result show that clothing symbolizes in various ways such mood and emotion as bless, wrath, friendliness, respect, surprise, excitement, embarrassment, uneasiness, sadness, melancholy, anxiety, hostility, unpleasantness, deliveration, shyness, blessing, gratitude, despair, shame, sympathy, boasting, etc.

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Psychophysiological Reactivity to Affective Visual Stimulation of Negative Emotional Valence: Comparative Analysis of Autonomic and Frontal EEG Responses to the IAPS and the KAPS

  • Sohn, Jin-Hun;Estate M. Sokhadze;Lee, Kyung-Hwa
    • Science of Emotion and Sensibility
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    • v.3 no.2
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    • pp.29-40
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    • 2000
  • Autonomic and EEG responses were analyzed in 32 college students exposed to visual stimulation with Korean Affective Picture System (KAPS) and 36 students exposed to the International Affective Picture System (IAPS). Cardiac, electrodermal, and electrocortical measures were recorded during 30 sec of viewing affective pictures. The slides intended to elicit basic emotions (fear, anger, surprise, disgust, and sadness) were presented to subjects via Kodak slide-projector. The aim of the study was to differentiate autonomic and EEG responses associated with the same negative valence emotions elicited by KAPS and IAPS stimulation and to identify the influence of cultural relevance on physiological reactivity. The analysis of obtained results revealed significant differences in physiological responsiveness to emotionally negative valence slides from KAPS and IAPS. The typical response profile for all emotions elicited by the KAPS included HR acceleration (except surprise), and increase of electrodermal activity, slow and fast alpha blocking and fast beta power increase in EEG, which was not associated with significant asymmetry (except fast alpha in sadness). Stimulation with the IAPS evoked HR deceleration, specific electrodermal responses with relatively high tonic electrodermal activation, alpha-blocking and fast beta increase, and was accompanied also by theta power increase and marked frontal asymmetry (e.g., fast beta, theta asymmetries in sadness, fast alpha in fear). Physiological responses to fear and anger-eliciting slides from the IAPS were significantly less profound and were accompanied by autonomic and EEG changes more typical for attention rather than negative affect. Higher cardiovascular and electrodermal reactivity to fear emotion observed in the KAPS, e.g., as compared to data with the IAPS as stimuli, can be explained by cultural relevance and higher effectiveness of the KAPS in producing certain emotions such as fear in Koreans.

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The Congruent Effects of Gesture and Facial Expression of Virtual Character on Emotional Perception: What Facial Expression is Significant? (가상 캐릭터의 몸짓과 얼굴표정의 일치가 감성지각에 미치는 영향: 어떤 얼굴표정이 중요한가?)

  • Ryu, Jeeheon;Yu, Seungbeom
    • The Journal of the Korea Contents Association
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    • v.16 no.5
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    • pp.21-34
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    • 2016
  • In the design and develop a virtual character, it is important to correctly deliver target emotions generated by the combination of facial expression and gesture. The purpose of this study is to examine the effect of congruent/incongruent between gesture and facial expression on target emotion. In this study four emotions, joy, sadness, fear, and anger, are applied. The results of study showed that sadness emotion were incorrectly perceived. Moreover, it was perceived as anger instead of sadness. Sadness can be easily confused when facial expression and gestures were simultaneously presented. However, in the other emotional status, the intended emotional expressions were correctly perceived. The overall evaluation of virtual character's emotional expression was significantly low when joy gesture was combined with sad facial expression. The results of this study suggested that emotional gesture is more influential correctly to deliver target emotions to users. This study suggested that social cues like gender or age of virtual character should be further studied.

A Study on Emotional Recognition and Expressive Behavior of Children Aged Four in Institutional Care Through a Role Play Program Using Dolls (인형매체 역할놀이 프로그램에서 나타나는 4세 시설보호유아의 정서인식 및 표현행동 탐색)

  • Yang, Sim-Young
    • Korean Journal of Child Studies
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    • v.33 no.1
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    • pp.93-109
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    • 2012
  • The purpose of this study is to explore how children aged four, in institutional care, perceive and express basic emotions, such as happiness, sadness, anger, surprise, through a role play program using dolls. This study selected two children who were both aged four years old and are currently in child institutional care. The children were observed during six role play trials using dolls and were questioned after the trials. The results were : 1) The children aged four in institutional care best perceived and expressed the emotion of happiness. 2) The children aged four in institutional care were able to positively change their feelings of sadness and expressive behavior through the intimate relationships they formed with the researcher. 3) The children aged four in institutional care expressed the emotion of anger throughout the entire role play using dolls and were positively changed the instructions and coaching given by the researcher. 4) The children aged four in institutional care had the most difficulty in expressing the emotion of surprise. The results of this study could be used as basic data for creating a program intended to help children aged four in institutional care develop their emotions.

F-ratio of Speaker Variability in Emotional Speech

  • Yi, So-Pae
    • Speech Sciences
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    • v.15 no.1
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    • pp.63-72
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    • 2008
  • Various acoustic features were extracted and analyzed to estimate the inter- and intra-speaker variability of emotional speech. Tokens of vowel /a/ from sentences spoken with different modes of emotion (sadness, neutral, happiness, fear and anger) were analyzed. All of the acoustic features (fundamental frequency, spectral slope, HNR, H1-A1 and formant frequency) indicated greater contribution to inter- than intra-speaker variability across all emotions. Each acoustic feature of speech signal showed a different degree of contribution to speaker discrimination in different emotional modes. Sadness and neutral indicated greater speaker discrimination than other emotional modes (happiness, fear, anger in descending order of F-ratio). In other words, the speaker specificity was better represented in sadness and neutral than in happiness, fear and anger with any of the acoustic features.

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The Literature Physiology of Gosijo by White Hair Motif

  • Park, Inkwa
    • International Journal of Advanced Culture Technology
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    • v.6 no.4
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    • pp.195-204
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    • 2018
  • This study is to explore the function of white hair motif in Gosijo. And to use the results in literature therapy programs. The white hair motif in the Gosijo of the study ignites the sadness. And every time we read this work repeatedly, the sadness is amplified. This amplification of sadness plays a role in healing the human body. This white hair motif of Gosijo covers the death motif and become energy to support life. In the future, if we study the literary physiological functions of Gosijo in the future, it seems that literature will give us a more healing life.

Speech Emotion Recognition Based on GMM Using FFT and MFB Spectral Entropy (FFT와 MFB Spectral Entropy를 이용한 GMM 기반의 감정인식)

  • Lee, Woo-Seok;Roh, Yong-Wan;Hong, Hwang-Seok
    • Proceedings of the KIEE Conference
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    • 2008.04a
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    • pp.99-100
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    • 2008
  • This paper proposes a Gaussian Mixture Model (GMM) - based speech emotion recognition methods using four feature parameters; 1) Fast Fourier Transform(FFT) spectral entropy, 2) delta FFT spectral entropy, 3) Mel-frequency Filter Bank (MFB) spectral entropy, and 4) delta MFB spectral entropy. In addition, we use four emotions in a speech database including anger, sadness, happiness, and neutrality. We perform speech emotion recognition experiments using each pre-defined emotion and gender. The experimental results show that the proposed emotion recognition using FFT spectral-based entropy and MFB spectral-based entropy performs better than existing emotion recognition based on GMM using energy, Zero Crossing Rate (ZCR), Linear Prediction Coefficient (LPC), and pitch parameters. In experimental Results, we attained a maximum recognition rate of 75.1% when we used MFB spectral entropy and delta MFB spectral entropy.

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Speech Emotion Recognition using Feature Selection and Fusion Method (특징 선택과 융합 방법을 이용한 음성 감정 인식)

  • Kim, Weon-Goo
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.8
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    • pp.1265-1271
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    • 2017
  • In this paper, the speech parameter fusion method is studied to improve the performance of the conventional emotion recognition system. For this purpose, the combination of the parameters that show the best performance by combining the cepstrum parameters and the various pitch parameters used in the conventional emotion recognition system are selected. Various pitch parameters were generated using numerical and statistical methods using pitch of speech. Performance evaluation was performed on the emotion recognition system using Gaussian mixture model(GMM) to select the pitch parameters that showed the best performance in combination with cepstrum parameters. As a parameter selection method, sequential feature selection method was used. In the experiment to distinguish the four emotions of normal, joy, sadness and angry, fifteen of the total 56 pitch parameters were selected and showed the best recognition performance when fused with cepstrum and delta cepstrum coefficients. This is a 48.9% reduction in the error of emotion recognition system using only pitch parameters.