• Title/Summary/Keyword: Emotional States

검색결과 234건 처리시간 0.024초

Analytical model of EEG by statistical mechanics of neocortical interaction

  • Park, J.M.;M.C. Whang;B.H. Bae;Kim, S.Y.;Kim, C.J.
    • 대한인간공학회:학술대회논문집
    • /
    • 대한인간공학회 1997년도 춘계학술대회논문집
    • /
    • pp.165-175
    • /
    • 1997
  • Brain potential is described by using Euler Lagrange equation derived from Lagrangian based on SMNI(Statistical Mechanics of Neocortical Interaction). It is assumed that excitatory neuron firing is amplitude-modulated dominantly by the sum of two modes of frequency ${\omega}and 2 {\omega}$ . Time series of this neuron firing is numerically calculated. $I_{L}$related to low frequency distribution of power spectrum, $I_{H}$high frequency, and S(standard deviation) are introduced for the effective extraction of the dynamic property in this simulated brain potential. $I_{L}$,$I_{H}$, and S are obtained from EEG of 4 persons in rest state and are compared with thoretical results. It is of importance in various fields related to human well-being such as comfort-pursued industrial design, psychology, medicine to characterize human emotional states by EEG analysis. The pleasant and unpleasant sensation among various emotional states would be demonstrated to be determined in terms of ${\epsilon}$ and ${\gamma}$ parameters estimated by the simulated $I_{L}$-$I_{H}$-S relations.

  • PDF

Wavelet변환을 이용한 시각자극에 의해 유발되는 뇌파의 분석에 관한 연구 (A Study or the Analysis of EEG Evoked by Visual Stimulation using Wavelet Transformation.)

  • 김정환;황민철;임재중
    • 대한의용생체공학회:학술대회논문집
    • /
    • 대한의용생체공학회 1997년도 추계학술대회
    • /
    • pp.455-458
    • /
    • 1997
  • We are exposed to the various external stimuli input from the environment, which cause emotional changes based on the characteristics of the stimuli. Unfortunately, there are no quantitative results on relationship between human sensibility and the characteristics of physiological signals. The objective of this study was to quantify EEG signals evoked by visual stimulation based on the assumption that the analysis of the variability on the characteristics of the EEG waveform may provide the significant information regarding changes in psychological states of the subject. Seven university students were participated in this study. The experiment was devised with eleven experimental conditions, which are control and ten different types of visual stimulation based on IAPS (International Affective Picture Systems). Wavelet transformation was employed to analyze the EEG signals. Most positive and negative emotional response were compared in pairs. The results showed that the reconstructed signals at the decomposition level revealed the different energy value on the EEG signals. Also, general patterns of EEG signals in rest state compare with positive and negative stimulus were found. This study could be extended to establish an algorithm which distinguishes psychophysiological states of the subjects exposed to the visual stimulation.

  • PDF

인간 시각 감성에 의한 뇌파의 Wavelet 특성 (The Characteristic of Wavelet in EEG Signals relataed to Human Visual Sensibility)

  • 김정환;황민철;김진호
    • 대한인간공학회:학술대회논문집
    • /
    • 대한인간공학회 1997년도 추계학술대회논문집
    • /
    • pp.477-481
    • /
    • 1997
  • We are exposed to the various external stimuli input from the environment, which cause emotional changes based on the characteristics of the stimuli. Unfortunately, there are noquantitative results on relationship between human sensibility and the characteristics of physiological signals. The objective of this study was to quantify EEG signals evoked by visual stimulation based on the assumption that the analysis of the variability on the characteristics of the EEG waveform may provide the significant information regarding changes in psychological states of the subject. Seven university students were participated in this study. The experiment was devised with eleven experimental conditions, which are control and ten different types of visual stimulation based on IAPS(International Affective Picture Systems). Seven subjects were used to obtain EEGs while introducing visual stimulation. Wavelet transformation was employed to analyze the EEG signals. Most Positive and negative emotional response were pairely compared. The results showed that the reconstructed signals at the decomposition level revealed the different energy value on the EEG signals. Also, general patterns of EEG signals in rest state compare with negative and positive stimulus were found. This study could be extended to estabish an algorithm which distinguishes psychophysiological states of the subjects exposed to the visual stimulation.

  • PDF

Real-world multimodal lifelog dataset for human behavior study

  • Chung, Seungeun;Jeong, Chi Yoon;Lim, Jeong Mook;Lim, Jiyoun;Noh, Kyoung Ju;Kim, Gague;Jeong, Hyuntae
    • ETRI Journal
    • /
    • 제44권3호
    • /
    • pp.426-437
    • /
    • 2022
  • To understand the multilateral characteristics of human behavior and physiological markers related to physical, emotional, and environmental states, extensive lifelog data collection in a real-world environment is essential. Here, we propose a data collection method using multimodal mobile sensing and present a long-term dataset from 22 subjects and 616 days of experimental sessions. The dataset contains over 10 000 hours of data, including physiological, data such as photoplethysmography, electrodermal activity, and skin temperature in addition to the multivariate behavioral data. Furthermore, it consists of 10 372 user labels with emotional states and 590 days of sleep quality data. To demonstrate feasibility, human activity recognition was applied on the sensor data using a convolutional neural network-based deep learning model with 92.78% recognition accuracy. From the activity recognition result, we extracted the daily behavior pattern and discovered five representative models by applying spectral clustering. This demonstrates that the dataset contributed toward understanding human behavior using multimodal data accumulated throughout daily lives under natural conditions.

프로이트와 데리다의 애도이론 -"나는 애도한다 따라서 나는 존재한다." (Freud's and Derrida's Theories of Mourning: "I Mourn Therefore I Am")

  • 왕철
    • 영어영문학
    • /
    • 제58권4호
    • /
    • pp.783-807
    • /
    • 2012
  • This study compares and contrasts Freud's "work of mourning" which mostly appears in his memorable essay "Mourning and Melancholia" and Derrida's theory of mourning which appears in various works such as MEMOIRES for Paul de Man, The Work of Mourning, and others. Freud maintains that the mourner begins to sever emotional ties to the lost object through a labor of memory and eventually completes the work of mourning. It is a "testing of reality" that motivates the mourner to begin to relinquish emotional attachment to the lost object. Derrida, however, challenges Freudian work of mourning by saying that true mourning lies in "respecting the Otherness of the Other." Derrida suggests that Freud's "normal work of mourning" is "unjust betrayal" of the lost object because it "kills" and "devours" the other and thereby makes it part of the self. So he proposes that work of mourning has "to fail in order to succeed": "success fails" and "failure succeeds." There is an enormous, even epistemological, chasm between Freud who states that mourning, "however painful it may be, comes to a spontaneous end" and Derrida who states that "mourning is interminable. Inconsolable. Irreconcilable." and "I mourn Therefore I am." The former is the voice of "testing of reality" and common sense whereas the latter is that of utopian ethical vision. Yet neither seems to get the upper hand and they are kind of forced to maintain an ongoing dialogue with each other, for true mourning seems to lie somewhere in between.

Correlation of animal-based parameters with environment-based parameters in an on-farm welfare assessment of growing pigs

  • Hye Jin, Kang;Sangeun, Bae;Hang, Lee
    • Journal of Animal Science and Technology
    • /
    • 제64권3호
    • /
    • pp.539-563
    • /
    • 2022
  • Nine pig farms were evaluated for the welfare quality in Korea using animal- and environment-based parameters (particularly air quality parameters) during the winter of 2013. The Welfare Quality® (WQ®) protocol consists of 12 criteria within four principles. The WQ® protocol classifies farms into four categories ranging from 'excellent' to 'not classified'. Each of these criteria has specific measures for calculating scores. Calculations for the welfare scores were conducted online using the calculation model in the WQ® protocol. Environment-based parameters like microclimate (i.e., temperature, relative humidity, air speed, and particulate matter), bacteria (total airborne bacteria, airborne total coliform, and airborne total Escherichia coli), concentration of gases (carbon dioxide, ammonia, and hydrogen sulfide) were measured to investigate the relationship between animal- and environment-based parameters. Correlations between the results of animal- and environment-based parameters were estimated using spearman correlation coefficient. The overall assessments found that five out of nine farms were 'acceptable', and four farms were 'enhanced'; no farm was 'not classified'. The average score for the four principles across the nine farms, in decreasing order, were 'good feeding' (63.13 points) > 'good housing' (59.26 points) > 'good health' (33.47 points) > 'appropriate behaviors' (25.48 points). In the result of the environment aspect, the relative humidity of farms 2 (93.4%), 3 (100%), and 9 (98%) was much higher than the recommended maximum relative humidity of 80%, and four out of the nine farms had ammonia concentrations greater than 40 ppm. Ammonia had negative correlations with 'positive social behaviors' and positive emotional states: content, enjoying, sociable, playful, lively, happy and it had positive correlations with negative emotional states: aimless, distressed. The concentration of carbon dioxide had negative correlations with positive emotional states; calm, sociable, playful, happy and it had a positive correlation with negative emotional state; aimless. Our results indicate that the control of the environment for growing pigs can help improve their welfare, particularly via good air quality (carbon dioxide, ammonia, hydrogen sulfide).

Adverse Effects on EEGs and Bio-Signals Coupling on Improving Machine Learning-Based Classification Performances

  • SuJin Bak
    • 한국컴퓨터정보학회논문지
    • /
    • 제28권10호
    • /
    • pp.133-153
    • /
    • 2023
  • 본 논문에서 우리는 뇌 신호 측정 기술 중 하나인 뇌전도를 활용한 새로운 접근방식을 제안한다. 전통적으로 연구자들은 감정 상태의 분류성능을 향상시키기 위해 뇌전도 신호와 생체신호를 결합해왔다. 우리의 목표는 뇌전도와 결합된 생체신호의 상호작용 효과를 탐구하고, 뇌전도+생체신호의 조합이 뇌전도 단독사용 또는 임의로 생성된 의사 무작위 신호와 결합한 경우에 비해 감정 상태의 분류 정확도를 향상시킬 수 있는지를 확인한다. 네 가지 특징추출 방법을 사용하여 두 개의 공개 데이터셋에서 얻은 데이터 기반의 뇌전도, 뇌전도+생체신호, 뇌전도+생체신호+무작위신호, 및 뇌전도+무작위신호의 네 가지 조합을 조사했다. 감정 상태 (작업 대 휴식 상태)는 서포트 벡터 머신과 장단기 기억망 분류기를 사용하여 분류했다. 우리의 결과는 가장 높은 정확도를 가진 서포트 벡터 머신과 고속 퓨리에 변환을 사용할 때 뇌전도+생체신호의 평균 오류율이 뇌전도+무작위신호와 뇌전도 단독 신호만을 사용한 경우에 비해 각각 4.7% 및 6.5% 높았음을 보여주었다. 우리는 또한 다양한 무작위 신호를 결합하여 뇌전도+생체신호의 오류율을 철저하게 분석했다. 뇌전도+생체신호+무작위신호의 오류율 패턴은 초기에는 깊은 이중 감소 현상으로 인해 감소하다가 차원의 저주로 인해 증가하는 V자 모양을 나타냈다. 결과적으로, 우리의 연구 결과는 뇌파와 생체신호의 결합이 항상 유망한 분류성능을 보장할 수 없음을 시사한다.

웨이블렛 변환을 이용한 음성에서의 감정 추출 및 인식 기법 (Emotion Recognition Method from Speech Signal Using the Wavelet Transform)

  • 고현주;이대종;박장환;전명근
    • 한국지능시스템학회논문지
    • /
    • 제14권2호
    • /
    • pp.150-155
    • /
    • 2004
  • 본 논문에서는 사람의 음성속에 내포된 6가지 기본 감정(기쁨, 슬픔, 화남, 놀람, 공포, 혐오)의 특징을 추출하고 인식하고자 한다. 제안한 감정인식 알고리즘은 웨이블렛 필터뱅크를 이용하여 각각의 감정별 코드북을 만들고, 인식단계에서 필터뱅크별 감정을 확인한 후 최종적으로 다중의사결정기법에 의해 감정을 인식하는 구조로 이루어져 있다. 이와 같은 웨이블렛 필터뱅크와 다중의사 결정기법에 기반을 둔 알고리즘의 유용성을 보이기 위해 실험에 사용된 음성은 20명의 화자로부터 6가지의 감정을 대상으로 각각 3번씩 발음한 감정음성을 녹음하여 총 360개의 데이터베이스로 구성하고 실험하였다. 이와 같이 제안한 알고리즘은 기존의 연구에 비해 5% 이상 향상된 인식률을 보였다.

Students' Salivary Cortisol level and Emotional intensity vary by teacher's teaching style in Secondary School Science Class

  • Lee, Jun-Ki
    • 한국과학교육학회지
    • /
    • 제29권7호
    • /
    • pp.783-791
    • /
    • 2009
  • This study was conducted to examine my hypothesis that how teacher's teaching style influences emotional and physiological states of students in the secondary school science classroom. Sixty healthy secondary school students were participated in this study and divided into two groups: manipulation and non-manipulation. Each group underwent different styles of teaching on the scientific hypothesis-generating of com starch experiment. Before and after the class, the strength of emotion was measured using adjective emoticon check lists and they extracted their saliva sample for salivary hormone analysis. Here are the results of this study. First, the intensity of positive emotions in the manipulation group was significantly stronger than the one in the non-manipulation group, whereas the intensity of negative emotions in the non-manipulation group was significantly stronger than the one in the manipulation group. Second, the cortisol level, an indicator of stress, was decreased in the manipulation group whereas it was increased in non-manipulation group. Third, the quality of scientific hypotheses which is generated by students during the class had no connection with types of instructions. Fourth, this study found significantly negative correlation between students' emotional intensity of interest and concentration changes of salivary cortisol. Therefore, the different teaching styles have influence upon students' attitude and interest in science.

감각처리와 감정조절의 관련성에 대한 문헌고찰 (The Relationship Between Sensory Processing and Emotional Regulation : A Literature Review)

  • 홍은경;홍소영
    • 대한감각통합치료학회지
    • /
    • 제14권1호
    • /
    • pp.50-59
    • /
    • 2016
  • 목적 : 본 연구에서는 감정조절에 대한 신경학적 메커니즘을 이해하고, 감정조절과 감각처리의 연관성에 대해 알아보고자 한다. 본론 : 신경학적으로 감정조절은 주로 둘레계의 구조물에 의해 처리되고 특히, 편도의 바닥-바깥쪽 그룹이 주요한 역할을 한다. 바닥-바깥쪽 그룹은 감각의 중계소인 시상과 직 간접적으로 연결되어 감각 정보에 대한 처리를 함께 한다. 이 감각 정보는 눈-안쪽 앞 이마엽과 연결되어 감각처리 및 감정과 관련된 복잡한 행동을 하게 한다. 시상, 편도, 눈-안쪽 앞 이마엽의 연결 회로로 인해 부적절한 감각처리는 감정조절과 행동에 어려움을 발생시킬 수 있다. 자폐스펙트럼장애와 주의력결핍과잉행동장애 아동에서 편도 및 앞 이마엽의 비정상적인 처리에 대한 신경학적 연구가 보고되고 있다. 결론 : 자폐스펙트럼장애와 주의력결핍과잉행동장애 아동은 신경계의 상태가 다르고 이는 감각처리와 감정조절, 행동에서 다양한 양상을 나타낸다. 치료사는 아동의 행동에 영향을 미치는 감각처리와 감정조절에 대한 신경학적 메커니즘을 이해하고, 치료적 적용을 할 필요가 있다.