• 제목/요약/키워드: Sadness Emotion

검색결과 152건 처리시간 0.027초

지각된 감정이 여대생들의 음식 선호에 미치는 영향 (Effects of Mood on the Food Preference of Female University Students)

  • 이은영;조미숙
    • 한국식생활문화학회지
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    • 제23권6호
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    • pp.713-719
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    • 2008
  • The purpose of this study was to investigate the food preference and attitude according to six emotions in female university students. Also, it was studied whether the desire to food consumption was changed by each mood. The selfreported questionnaire was used to 285 female university students. There were the significant differences in food preference according to emotions. Pizza & pasta, ice cream and cake were preferred during happiness and amusement. In sadness and anger, alcohol was the most preferred food item. There was the preference of beverage, Jjigae & Baikban, ice cream and snack during relaxation. Chocolate showed the highest preference during depression. The taste and flavor was the main preference attributes during all emotions. The self-assessed food intake during happiness, amusement, anger and relaxation was increased but it was decreased during sadness and depression (p<0.001).

The Effects of Color Hue-Tone on Recognizing Emotions of Characters in the Film, Les Misérables

  • Kim, Yu-Jin
    • 감성과학
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    • 제18권1호
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    • pp.67-78
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    • 2015
  • This study investigated whether people experience a correspondence between color hue-tone and the main characters' emotions in the 2012 British musical drama film, Les $Mis\grave{e}rables$ through three practical experiments. Six screen images, which represent the characters' different emotions (Parrot's six primary types including love, joy, surprise, anger, sadness, and fear) were selected. For each screen image, participants were asked to judge the degree of the character's dominant emotions evoked from 17 varied screen images, which consisted of original chromatic and achromatized images as well as 15 color-filtered images (5 hues X 3 tones of the IRI color system). These tasks revealed that a chromatic color scheme is more effective to deliver the characters' positive emotions (i.e. love and joy) than an achromatic one. In addition, they proved that the hue and tone dimensions partially influence the relationships between the character emotions and colors.

고시조에 표현된 한국인의 소리인식 조사에 관한 연구 (The Korean's Sound Recognition Impressed in Ancient Sijo)

  • 이태강;장길수
    • 한국소음진동공학회논문집
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    • 제15권6호
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    • pp.724-730
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    • 2005
  • Literary works contain various human emotion and historical, cultural background. It is very significant to understand sound recognition and receptions represented in many literary works. This study aims to investigate the sound impression on ancient Korean Sijo( Korean Verse) involved various traditional korean emotion, which were expressed in different situations. Firstly we selected the appropriate Sijo to express sounds, and then classified the sound, analyzed the meaning of recognition to the sound. The number of 297 sounds were classified into 13 categories, and 20 emotional meanings. Especially, 'internal sadness' characterized the korean rooted emotion were more expressed than other meanings and this meaning were symbolized by the sound of wild geese and cuckoos.

RECOGNIZING SIX EMOTIONAL STATES USING SPEECH SIGNALS

  • Kang, Bong-Seok;Han, Chul-Hee;Youn, Dae-Hee;Lee, Chungyong
    • 한국감성과학회:학술대회논문집
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    • 한국감성과학회 2000년도 춘계 학술대회 및 국제 감성공학 심포지움 논문집 Proceeding of the 2000 Spring Conference of KOSES and International Sensibility Ergonomics Symposium
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    • pp.366-369
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    • 2000
  • This paper examines three algorithms to recognize speaker's emotion using the speech signals. Target emotions are happiness, sadness, anger, fear, boredom and neutral state. MLB(Maximum-Likeligood Bayes), NN(Nearest Neighbor) and HMM (Hidden Markov Model) algorithms are used as the pattern matching techniques. In all cases, pitch and energy are used as the features. The feature vectors for MLB and NN are composed of pitch mean, pitch standard deviation, energy mean, energy standard deviation, etc. For HMM, vectors of delta pitch with delta-delta pitch and delta energy with delta-delta energy are used. We recorded a corpus of emotional speech data and performed the subjective evaluation for the data. The subjective recognition result was 56% and was compared with the classifiers' recognition rates. MLB, NN, and HMM classifiers achieved recognition rates of 68.9%, 69.3% and 89.1% respectively, for the speaker dependent, and context-independent classification.

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뇌파를 이용한 4가지 감정 분류에 관한 연구 (A Study on Classification of Four Emotions using EEG)

  • 강동기;김동준;김흥환;고한우
    • 한국감성과학회:학술대회논문집
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    • 한국감성과학회 2001년도 추계학술대회 논문집
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    • pp.87-90
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    • 2001
  • 본 연구에서는 감성 평가 시스템에 가장 적합한 파라미터를 찾기 위하여 3가지 뇌파 파라미터를 이용하여 감정 분류 실험을 하였다. 뇌파 파라미터는 선형예측기계수(linear predictor coefficients)와 FFT 스펙트럼 및 AR 스펙트럼의 밴드별 상호상관계수(cross-correlation coefficients)를 이용하였으며, 감정은 relaxation, joy, sadness, irritation으로 설정하였다. 뇌파 데이터는 대학의 연극동아리 학생 4명을 대상으로 수집하였으며, 전극 위치는 Fp1, Fp2, F3, F4, T3, T4, P3, P4, O1, O2를 사용하였다. 수집된 뇌파 데이터는 전처리를 거친 후 특징 파라미터를 추출하고 패턴 분류기로 사용된 신경회로망(neural network)에 입력하여 감정 분류를 하였다. 감정 분류실험 결과 선형예측기계수를 이용하는 것이 다른 2가지 보다 좋은 성능을 나타내었다.

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

  • 김민규;이희승;박정우;조수훈;정명진
    • 한국HCI학회:학술대회논문집
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    • 한국HCI학회 2008년도 학술대회 1부
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    • pp.547-552
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    • 2008
  • 앞으로 로봇은 더욱 사람과 가까워 질 것이고, 따라서 사람과 로봇간의 상호작용도 활발해질 것이다. 이 때 직관적인 소통수단이 필수적이기 때문에, 로봇이 표정을 통해 감정을 표현할 수 있도록 하는 연구가 활발히 진행되어왔다. 기존에는 얼굴 표정을 주로 이용하였는데, 사람처럼 감정의 강도를 표현하기 위해서는 얼굴 외의 다른 방법도 필요하다. 로봇이 감정의 강도를 표현하기 위해서는 팔의 제스처, 움직임, 소리, 색깔 등을 이용할 수 있다. 본 논문에서는 LED 를 이용할 수 있도록 색과 깜빡임에 대해 연구하였다. 색깔과 감정의 관계에 대해서는 기존에 연구가 많이 되어 있지만, 실제로 로봇에 구현하기에는 정량적 자료가 부족하여 어려움이 있다. 본 논문에서는 6 가지 기본 감정(화남, 슬픔, 혐오, 놀람, 기쁨, 공포)을 효과적으로 나타낼 수 있는 색과 깜빡임 주기를 결정하고, 아바타를 이용하여 감정의 강도를 설문조사 하였다. 결과적으로, 슬픔, 혐오, 화남의 경우 색깔과 깜빡임을 통해 감정의 강도를 높일 수 있었다. 공포, 기쁨, 놀람의 경우 색깔과 깜빡임이 감정 인식에 큰 영향을 미치지 못했는데, 이는 그 감정에 해당하는 색깔이나 깜빡임을 수정해서 개선할 수 있을 것이다.

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Literary Therapeutic Mechanism Analysis in which the Rated Sijo is Encoded as a Battery of Life

  • Park, In-Kwa
    • International Journal of Advanced Culture Technology
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    • 제4권4호
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    • pp.45-50
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    • 2016
  • This is a humanistic study to trace phenomena logically the comprehensive therapeutic mechanism of the human body which is coded by the smart emotion of the rated signal conveyed by the Rated Sijo. The Gestalt, which is structured in the form of therapeutic metastasis conveyed by sentences, is intended to embody the principle of human response. So, this researcher explored the metastatic structure toward Gestalt of original human being through the passage of foreground and background by ergonomic and chemical structure. In the meantime, this researcher focused on revealing the structure of the field of existence by the symbol system in which the therapeutic mechanism of the human body is embodied. As a result, the basic framework of Gestalt literary therapy, which contributes to the improvement of the Quality of Life metaphorized as a mechanism of the symbol system by the metastasis of literary therapy or the electrical operation of the human body. As a result, the human body as a conductor through literature has turned out to be an original Gestalt structure pursued by literature. In addition, it was analyzed that the human body would accept signals such as emotions and Rated Emotions planted in the sentence, and synapse them into the human physiological psycho analytical symbol system. Therefore, it has been confirmed possibility that human existent environment and trauma are separated from the whole universe can push fully implement therapeutic techniques toward totalization by a combination of literary devices, especially appropriate electric signal combination of the Rated Sijo.

『영추(靈樞)·본신(本神)』의 칠정상오장(七情傷五藏)에 대한 고찰(考察) (The Observation on the Five Vicera's Damaged due to Seven Emotion in the 『Lingshu·Benshen』)

  • 방정균
    • 한국의사학회지
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    • 제18권2호
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    • pp.55-62
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    • 2005
  • In "Lingshu Benshen". five vicera are damaged due to changes in emotion having qi flow opposite to five viscera. As a result, it suggests that mental and physical illness could develop. The content of this piece can be explained in relation to five elements but uniformly through qi's flow. The contents can be summarized as follows. 1. The Heart is fire among the five elements and mainly characterized with dispersing. The flow of its qi is characterized facing upward and outward. On the other hand, being afraid or thinking seriously is characterized by making qi to go downward and stop so that the flow of qi is mainly facing toward inward and downward, damaging the heart. 2. The spleen has the conveyance function and spreads qi. On the other hand, worry and emotion inhibit qi function, blocking qi, damaging the spleen. 3. The liver has dispelling and removing functions and the power of sending up. The qi flow goes toward upward and outward. On the other hand, sadness stagnates qi, preventing the flow of liver's qi, damaging the liver. As a result, work is not done accurately. Madness develops with heat accumulated with qi stagnation. When qi is not sending up, mentality is not clear, leading to forgetfulness. 4. The lung has astringent and sending down functions, lowering qi. On the other hand, happy and joyful emotions bring up qi, showing the opposite flow of qi compared with the lung, damaging the lung. 5. The kidney has closing and storing functions, making qi flow to downward and inward. On the other hand, being angry makes qi to go up. Excessive expression of anger damages the kidney. As a result, the yin function of kidney does not work properly, leading to forgetfulness.

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CCD 컬러영상에 의한 감성인식 (Emotion Recognition by CCD Color Image)

  • 이상윤;주영훈;심귀보
    • 한국지능시스템학회논문지
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    • 제12권2호
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    • pp.97-102
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    • 2002
  • 본 논문에서는 CCD 칼라 영상을 이용하여 인간의 감성을 인식할 수 있는 방법을 제안한다. 먼저 CCD 카메라에 의해 획득한 칼라 영상으로부터 피부색 추출 방법을 이용하여 얼굴을 추출한다. 그 다음, 추출된 얼굴 영상으로부터 인간 얼굴의 특징점(눈썹, 눈, 코, 입) 들을 추출하는 방법과 각 특징점들 간의 구조적인 관계로부터 인간의 감성(놀람, 화남, 행복함, 슬픔)을 인식하는 방법을 제안한다. 본 논문에서 제안한 방법은 신경회로망을 이용하여 학습시킴으로써 인간의 감성을 인식한다. 마지막으로, 제안된 방법은 실험을 통해 그 응용 가능성을 확인한다.

얼굴표정과 음성을 이용한 감정인식 (An Emotion Recognition Method using Facial Expression and Speech Signal)

  • 고현주;이대종;전명근
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제31권6호
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    • pp.799-807
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    • 2004
  • 본 논문에서는 사람의 얼굴표정과 음성 속에 담긴 6개의 기본감정(기쁨, 슬픔, 화남, 놀람, 혐오, 공포)에 대한 특징을 추출하고 인식하고자 한다. 이를 위해 얼굴표정을 이용한 감정인식에서는 이산 웨이블렛 기반 다해상도 분석을 이용하여 선형판별분석기법으로 특징을 추출하고 최소 거리 분류 방법을 이용하여 감정을 인식한다. 음성에서의 감정인식은 웨이블렛 필터뱅크를 이용하여 독립적인 감정을 확인한 후 다중의사 결정 기법에 외해 감정인식을 한다. 최종적으로 얼굴 표정에서의 감정인식과 음성에서의 감정인식을 융합하는 단계로 퍼지 소속함수를 이용하며, 각 감정에 대하여 소속도로 표현된 매칭 감은 얼굴에서의 감정과 음성에서의 감정별로 더하고 그중 가장 큰 값을 인식 대상의 감정으로 선정한다.