• 제목/요약/키워드: Emotional State

검색결과 595건 처리시간 0.023초

A Study on Sensitivity Analysis by Fuzzy Inference Rules Using Color and Location Information

  • Kim, Kwang-Baek;Woo, Young-Woon
    • Journal of information and communication convergence engineering
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    • 제7권3호
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    • pp.268-274
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    • 2009
  • Human beings can represent state of mind such as psychological state, personality or emotional trouble by the pictures painted on one's own initiative. But in general, it is hard to understand a consulter's unconscious state through one's objective and intentional descriptions only. So one's psychological state and emotional trouble can be understood and cured by color and location information of objects drawn in one's picture. By this reason, a consultant can help and settle a consulter's growth stages of life and emotional trouble through treatment by pictures. In this paper, we proposed a method to find out state of sensitivity by analysis of color and location information represented in a picture and fuzzy inference rules. We applied the proposed method to the states of sensitivity from color information proposed by Alschuler and Hattwick and the psychological states from location information proposed by Grunwald. In the experimental results by the two applications, we verified the proposed sensitivity analysis method is efficient.

정서유발 자극에 따른 사상인(四象人)의 심박변이도 변화 연구 (Changes of HRV according to Emotional Stimulus in Sasang Constitutional Groups)

  • 이경로;신동윤;김영원;이자형;송정모;김락형
    • 동의신경정신과학회지
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    • 제18권2호
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    • pp.25-34
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    • 2007
  • Objective : This study was done to investigate the differences of HRV(Heart Rate Variability) change as the response to the emotional stimulus in each Sasang constitutions. Method : We investigated 44 healthy volunteers consisted of 10 Soyangin, 14 Soeumin and 20 Taeumin. After diagnosing the Sasang constitution by specialist of Sasang medicine, we measured the baseline emotional state(100 sec) before the stimulus, the changing emotional state(100 sec) while fearful film was being played. And we rechecked the emotional state(100 sec) while taking a rest. At last, volunteers checked the questionnaire for emotional response. We analysed ECG data with HRV-time domain and frequency domain analysis. Results : (1) There were no significant difference in Mean-RR , SDNN between each groups. (2) LF of Taeumin group significantly increased by the emotional stimulation compared with other groups. (3) There was no significant difference in TP, HF, normalized LF, normalized HF, but the variation of each period in Taeumin group was bigger than those of other groups. (4) Soeumin group reported that they felt significant disgust-emotion in the questionnaire compared with other groups. Conclusion : Taeumin group showed significant emotional changes on HRV by fear stimulus film.

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Design of Model to Recognize Emotional States in a Speech

  • Kim Yi-Gon;Bae Young-Chul
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제6권1호
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    • pp.27-32
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    • 2006
  • Verbal communication is the most commonly used mean of communication. A spoken word carries a lot of informations about speakers and their emotional states. In this paper we designed a model to recognize emotional states in a speech, a first phase of two phases in developing a toy machine that recognizes emotional states in a speech. We conducted an experiment to extract and analyse the emotional state of a speaker in relation with speech. To analyse the signal output we referred to three characteristics of sound as vector inputs and they are the followings: frequency, intensity, and period of tones. Also we made use of eight basic emotional parameters: surprise, anger, sadness, expectancy, acceptance, joy, hate, and fear which were portrayed by five selected students. In order to facilitate the differentiation of each spectrum features, we used the wavelet transform analysis. We applied ANFIS (Adaptive Neuro Fuzzy Inference System) in designing an emotion recognition model from a speech. In our findings, inference error was about 10%. The result of our experiment reveals that about 85% of the model applied is effective and reliable.

Functional Connectivity with Regions Related to Emotional Regulation is Altered in Emotional Laborers

  • Seokyeong Min;Tae Hun Cho;Soo Hyun Park;Sanghoon Han
    • 감성과학
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    • 제25권4호
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    • pp.63-76
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    • 2022
  • Emotional labor, characterized by a dysfunctional type of emotional regulation called surface acting, has detrimental psychological consequences on employees, including depression and social anxiety. Because such disorders exhibit psychological characteristics manifested through brain activation, previous studies have succeeded in distinguishing individuals with depression and social anxiety from healthy controls using their functional connectivity characteristics. However, it has not been established whether the functional connectivity characteristics associated with emotional labor are distinguishable. Thus, we obtained resting-state fMRI data from participants in the emotion labor (EL) group and control (CTRL) group, and we subjected their whole-brain functional connectivity matrices to a linear support vector machine classifier. Our analysis revealed that the EL and CTRL groups could be successfully distinguished on the basis of individuals' connectivity patterns, and confidence in the classification was correlated with the scores on the depression and social anxiety scales. These results are expected to provide insight on the neurobiological characteristics of emotional labor and enable the sorting of employees undergoing adverse emotional labor utilizing neurobiological observations.

GA-optimized Support Vector Regression for an Improved Emotional State Estimation Model

  • Ahn, Hyunchul;Kim, Seongjin;Kim, Jae Kyeong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권6호
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    • pp.2056-2069
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    • 2014
  • In order to implement interactive and personalized Web services properly, it is necessary to understand the tangible and intangible responses of the users and to recognize their emotional states. Recently, some studies have attempted to build emotional state estimation models based on facial expressions. Most of these studies have applied multiple regression analysis (MRA), artificial neural network (ANN), and support vector regression (SVR) as the prediction algorithm, but the prediction accuracies have been relatively low. In order to improve the prediction performance of the emotion prediction model, we propose a novel SVR model that is optimized using a genetic algorithm (GA). Our proposed algorithm-GASVR-is designed to optimize the kernel parameters and the feature subsets of SVRs in order to predict the levels of two aspects-valence and arousal-of the emotions of the users. In order to validate the usefulness of GASVR, we collected a real-world data set of facial responses and emotional states via a survey. We applied GASVR and other algorithms including MRA, ANN, and conventional SVR to the data set. Finally, we found that GASVR outperformed all of the comparative algorithms in the prediction of the valence and arousal levels.

뇌파를 통한 감정 상태 인식에 관한 연구 (Recognition of the emotional state through the EEG)

  • 지훈;이충헌;박문규;안영준;이동훈
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2015년도 춘계학술대회
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    • pp.958-961
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    • 2015
  • 감정 표현은 보편적이고 감정 상태는 우리 생활 모든 분야에 영향을 미치는 매우 중요한 인자이다. 현재까지, 감정이 유발된 상황 하에서 획득된 뇌파를 분석하고 그 결과들을 토대로 해당 감정 상태를 정의하려는 노력은 주로 심리학자들에 의해서 많이 이루어져왔다. 하지만 최근에 이러한 감정과 관련된 정보는 정신활동을 지배하는 뇌가 활성화될 때 발생하는 뇌파를 통해서도 파악이 가능하다는 연구결과들이 발표되었다. 따라서 본 연구에서는 뇌파를 이용해서 인간이 흔히 느낄 수 있는 감정들을 비교 분석 하고자 하였다. 특정 감정에 대한 뇌파 변화를 얻기 위해 평안, 기쁨, 슬픔, 스트레스 등 감정에 변화를 줄 수 있는 영상과 음악을 피험자에게 가해지는 자극들로 활용하고 측정한 뇌파 신호를 FFT 변환 후 델타파, 세타파, 알파파, 베타파, 감마파 각각 파워스펙트럼을 분석하여 성능을 검증 한 결과 다른 감각들을 통해 느끼는 감정 유발에 대한 뇌파 변화의 정도를 제시하고자 하였다.

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Harmony Search 알고리즘 기반 HMM 구조 최적화에 의한 얼굴 정서 인식 시스템 개발 (Development of Facial Emotion Recognition System Based on Optimization of HMM Structure by using Harmony Search Algorithm)

  • 고광은;심귀보
    • 한국지능시스템학회논문지
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    • 제21권3호
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    • pp.395-400
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    • 2011
  • 본 논문에서는 얼굴 표정에서 나타나는 동적인 정서상태 변화를 고려한 얼굴 영상 기반 정서 인식 연구를 제안한다. 본 연구는 얼굴 영상 기반 정서적 특징 검출 및 분석 단계와 정서 상태 분류/인식 단계로 구분할 수 있다. 세부 연구의 구성 중 첫 번째는 Facial Action Units (FAUs)과 결합한 Active Shape Model (ASM)을 이용하여 정서 특징 영역 검출 및 분석기법의 제안이며, 두 번째는 시간에 따른 정서 상태의 동적 변화를 고려한 정확한 인식을 위하여 Hidden Markov Model(HMM) 형태의 Dynamic Bayesian Network를 사용한 정서 상태 분류 및 인식기법의 제안이다. 또한, 최적의 정서적 상태 분류를 위한 HMM의 파라미터 학습 시 Harmony Search (HS) 알고리즘을 이용한 휴리스틱 최적화 과정을 적용하였으며, 이를 통하여 동적 얼굴 영상 변화를 기반으로 하는 정서 상태 인식 시스템을 구성하고 그 성능의 향상을 도모하였다.

근로환경이 주관적 건강상태에 미치는 영향 (Effects of the Working Environment on Subjective Health Status)

  • 이용원
    • 한국산업보건학회지
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    • 제27권3호
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    • pp.210-220
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    • 2017
  • Objectives: This study was conducted to prepare fundamental data and prevention measures on health promotion and occupational disease, and to assess the effects of the working environment on subjective health status and absenteeism among workers using data from the third working environment survey in Korea. Methods: This study's subjects were composed of 29,711 wage workers from the 3rd working environment survey data. The dependent variables were several diseases, subjective health status and absences, and the independent variable was the working environment. The collected data were analyzed by One-Way ANOVA, Pearson's correlation and stepwise multiple analysis using the IBM SPSS(ver. 20.0) statistical package program. Results: The effecting factors for cardiovascular disease were age, working shift and emotional state. The effecting factors for anxiety and depression were years of education, working condition, duties, and emotional state. The effecting factors of insomnia were duty and emotional state. The positive effecting factors for absent days were work standing, working shift, number of night shifts, autonomy, and duties. The positive effecting factors of subjective health status were age, work standing, working years, working shift, appropriateness of working hours, leadership of superiors, duties and emotional state. Conclusions: Based on the above results, the author considers that it is necessary to improve the working environment to reduce absent days, such as by reducing of number of night shifts and giving autonomy regarding duties, and to improve the working environment for subjective health status such as by controlling the appropriateness of working hours and stability of the emotional state. In addition, this study provides fundamental data on health promotion and occupational disease among workers.

Multimodal Attention-Based Fusion Model for Context-Aware Emotion Recognition

  • Vo, Minh-Cong;Lee, Guee-Sang
    • International Journal of Contents
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    • 제18권3호
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    • pp.11-20
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    • 2022
  • Human Emotion Recognition is an exciting topic that has been attracting many researchers for a lengthy time. In recent years, there has been an increasing interest in exploiting contextual information on emotion recognition. Some previous explorations in psychology show that emotional perception is impacted by facial expressions, as well as contextual information from the scene, such as human activities, interactions, and body poses. Those explorations initialize a trend in computer vision in exploring the critical role of contexts, by considering them as modalities to infer predicted emotion along with facial expressions. However, the contextual information has not been fully exploited. The scene emotion created by the surrounding environment, can shape how people perceive emotion. Besides, additive fusion in multimodal training fashion is not practical, because the contributions of each modality are not equal to the final prediction. The purpose of this paper was to contribute to this growing area of research, by exploring the effectiveness of the emotional scene gist in the input image, to infer the emotional state of the primary target. The emotional scene gist includes emotion, emotional feelings, and actions or events that directly trigger emotional reactions in the input image. We also present an attention-based fusion network, to combine multimodal features based on their impacts on the target emotional state. We demonstrate the effectiveness of the method, through a significant improvement on the EMOTIC dataset.

노인의 신체화 증상 영향 요인 분석 (Factors Affecting Physical Symptoms of Elders)

  • 신미경;강지숙
    • 성인간호학회지
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    • 제22권2호
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    • pp.211-220
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    • 2010
  • Purpose: This study was done to identify the relationship of trait anger, health state, physical symptoms. and general characteristics to physical symptoms and to identify factors affecting physical symptoms of elderly in urban areas. Methods: The research design for this study was a descriptive survey design using a convenience sampling. Elders (n=276), who agreed to participate in this study completed a self-reporting questionnaire. The collected data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, and multiple regression. Results: Study participants reported low trait anger (M=18.61), physical symptoms (M=7.15), and moderate health state (M=3.30). The 45.4%of variance in physical symptoms was significantly explained by emotional function health state (${\beta}$=-.284, p=.013), which is one of the sub-domain of the elderly health state, and trait anger (${\beta}$=3.841, p<.001). Conclusion: Findings of this study provide that the most important factors in explaining physical symptoms for the elders in Korea were emotional function health state and trait anger. Based on the findings of this study, further nursing practice and nursing research for the elders with physical symptoms should be focused on emotional support.