• 제어로봇시스템학회논문지
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• 제19권4호
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• pp.364-371
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• 2013

Emotion Recognition is one of the important part to develop in human-human and human computer interaction. In this paper, we have focused on the performance of multi-class SVM (Support Vector Machine) with Gaussian RFB (Radial Basis function) kernel, which has been used to solve the problem of emotion recognition from physiological signals and to improve the accuracy of emotion recognition. The experimental paradigm for data acquisition, visual-stimuli of IAPS (International Affective Picture System) are used to induce emotional states, such as fear, disgust, joy, and neutral for each subject. The raw signals of acquisited data are splitted in the trial from each session to pre-process the data. The mean value and standard deviation are employed to extract the data for feature extraction and preparing in the next step of classification. The experimental results are proving that the proposed approach of multi-class SVM with Gaussian RBF kernel with OVO (One-Versus-One) method provided the successful performance, accuracies of classification, which has been performed over these four emotions.

• 대한인간공학회지
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• 제17권1호
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• pp.67-77
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• 1998

The objective of this study is to extract information from electroencephalogram(EEG) signals with which we can discriminate mental states. Seven university students were participated in this study. Ten stimuli based on IAPS (International Affective Picture Systems) Were presented at random according to the experimental schedule. 8-channel ($O_1$, $O_2$, $F_3$, $F_4$, $F_7$, $F_8$, $FP_1$, and $FP_2$)EEG signals were recorded at a sampling rate of 204.8 Hz for visual stimuli and analyzed. After random ten sequential stimuli presentation, the subject subjectively assessed the stimulus by scaling from -5 to 5. If the stimulus was the best and the worst, it was scored 5 and -5, respectively. Only maximum and minimum scored-EEG signals within each subject were selected on the basis of subjectively assessment for analysis. EEG signals were transformed into feature objects based on scalar autoregressive model coefficients. They were classified with Discriminant Analysis for each channel. The features produced results with the best classification accuracy of 85.7 % in $O_1$ and $O_2$ for visual stimuli. This study could be extended to establish an algorithm which quantify and classify emotions evoked by visual stimulus using autoregressive models.

• Asian Pacific Journal of Cancer Prevention
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• 제15권20호
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• pp.8577-8579
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• 2014

Osteosarcoma is a common malignant tumor of bone, but mechanisms underlying its development are still unclear. At present, it is believed that the inhibition of normal apoptotic mechanisms is one of the reasons for the development of tumors, so specific stimulation of tumor cell apoptosis can be considered as an important therapeutic method. Livin, as a member of the newly discovered inhibitor of apoptosis proteins (IAPs) family, has specifically high expression in tumor tissues and can inhibit tumor cell apoptosis through multiple ways, which can become a new target for malignant tumor treatment (including osteosarcoma) and might of great significance in the clinical diagnosis of tumors and the screening of anti-tumor agents and carcinoma treatment.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1997년도 추계학술대회
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• pp.455-458
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• 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.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 1998년도 추계학술발표 논문집
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• pp.74-79
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• 1998

본 연구에서는 한국인'의 정서 연구에 적합한 시각자극의 표준화를 위해서 한국정서사진체계(Korean Affects Picture System: KAPS)의 제작을 수행하면서 얻어진 결과를 간략히 보고하고자 한다. 총 210개의 시각자극 사진을 선정하여 슬라이드로 제작하고, 충남대학교 남녀 대학생 442명 (20-25세)을 대상으로 의미변별척도와 기본정서 평정척도를 사용하여 주관적 정서반응을 측정하였다 의미변별척도 평정치의 요인분석 결과 18개의 양극성 형용사는 3개의, 정서차원, 즉 즐거움, 각성도, 지배성 차원으로 구분되었다. 이는 국제정서사진체계 (IAPS)의 시각자극을 사용하여 미국인을 대상으로 수행한 연구 결과 및 한국인을 대상으로 수행한 연구 결과와 잘 일치하고 있다. KAPS에 포함되는 시각자각 수는 연구가 계속됨에 파라 지속적으로 확대되며, 실험방법 및 각자의 사진에 대한 세 차원(즐거움, 각성도, 통제력) 및 비연속 기본 정서(기쁨. 공포, 슬픔, 혐오, 놀람, 분노)에 관한 주관적 평정치를 포함하는 manual을 제작하여 정서연구자들에게 제공한다. 다른 연구자들에 의해서 얻어진 평정치 자료들도 계속해서 추가 보완될 것이다. 이를 통해서, 안으로 우리 나라에서의 정서 연구방법의 표준화 및 인구성과의 공유화를 위한 토대를 만들 수 있을 것으로 기대한다.

• 감성과학
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• 제1권1호
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• pp.135-143
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• 1998

이 연구에서는 국제 사진 정서체계(International Affective Picture System: IAPS)중에서 가장 강한 부적 정서를 유발하는 6장의 슬라이드를 1분 동안 연속적으로 보여주어 스트레스 상태를 야기한 뒤 1분동안 정서를 유발하는 청각자극인 1/f음악이나 which noise를 들려주거나 또는 아무소리도 들려주지 않는 각 조건에서 뇌파의 상대적 출현량(reltive power)및 호흡률, 심박률, 피부전도수준 등의 자율신경계 반응의 변화를 분석하였다. 스트레스 정서 상태에서 이완상태로의 회복을 촉진시켜줌을 시사한다. 한편, 스트레스정서유발 상태에서 1/f 음악과 white noise이 제시되었을 때의 자율신경계 반응은 현저한 대비를 보여주었다. 그러나 스트레스 정서유발 이전의 기저선 수준과 비교할 때 1/f 음악에 의한 반응수준이 white noise 에 의한 반응수준 보다 기서선 수준에서 훨씬 더 벗어나 있었다. 따라서 이 결과는 부적정서상태에 부가된 정적 유발이 활성화된 자율신경계 반응의 안정상태로의 회복을 촉진한다는 가설을 지지하거나 부정하기에는 불충분하다. 이 연구에서 정서자극 제시 후의 회복단계에서 뇌파 반응과 자율신경계 반응의 시간경과에 따른 변화가 일치하지 않는 이유는 이들 생리신호의 반응속도가 다르기 때문일 수 있다. 이 실험은 시각과 청각의 복합 감각체계를 사용하여, 스트레스 정서상태에 정적정서유발자극이 부가되었을 때 스트레스 뇌파반응에서 이완된 뇌파반응으로의 회복이 촉진됨을 보여준 최초의 연구이다.

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2005년도 춘계학술발표논문집
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• pp.111-114
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• 2005

현재 휴대폰은 대중화되고 있으며, 로봇기술 또한 각광 받고 있다. 그래서 우리는 로봇기술과 휴대폰 기술을 접목한 RCP(Robotic Cellular Phone)를 구현하려 한다. RCP를 구성하기 위해서 휴대폰의 움직임을 구현, 외부환경 및 RCP 자신의 상태인식 기능 그리고 사용자의 감성을 유발할 수 있는 감성유발엔진 및 감성평가모델의 군축이 필요하다. 본 연구에서는 감성평가모델의 개발을 위하여 음악과 진동 자극을 주어 생체신호 HRV와 GSR을 측정하여 정량적인 데이터를 수집, 특정감성을 평가하였다. 감성을 평가함에 있어서 개인의 차이가 발생하기 때문에 개개인의 표준화 (Normalize)가 필요하게 되었다. 표준화를 위하여 IAPS영상을 활용한 결과 우리가 얻고자 하는 감성의 변화에 대한 판단을 할 수 있음으로 감성의 신호 모델을 유추할 수 있었다.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 1998년도 춘계학술발표 논문집
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• pp.44-56
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• 1998

Effects of the music and white noise on recovery of the autonomic and cortical responses evoked by aversive visual stimulation were analyzed in 20 subjects. It was suggested that the music is able to exert modulatory influence on the physiological activity resulted from exposure to unpleasant IAPS based stimuli. Spectral power of DDG, heart rate(HR)respiration rate (RSR) and electrodermal activity(EDA)were recorded and analyzed for each experimental condition. It was observed HR and RSR deceleration, increased EDA and electrocortical activation expressed in decreased alpha power and increase of delta activity ao occipital and frontal areas. Obtained results suggest that audutory stimulation both with pleasant and sad music lead to restoration of pre-stimulation activation levels of most physiological parameters during listenning to music and in post-stimulation period. White noise evoked short-term physiological responses typical for orienting reaction and quite distinct from changes produced by music. Available data to differentiate effeces among pleasant and sad music, due toqualitative similarities of physilolgical patterns, but suppert an assumption that music is capable to facilitate the process of recovery of physilolgical responses elicited by visual stimulation of negative valence, thus positively modulate post-stress state.

• 대한인간공학회:학술대회논문집
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• 대한인간공학회 1997년도 추계학술대회논문집
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• pp.477-481
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• 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.

• 동의생리병리학회지
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• 제21권1호
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• pp.93-97
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• 2007

We previously reported the anti-proliferative effect of Chungjogupae-tang (CJGPT) in human lung carcinoma A549 cells, which was associated with the induction of cyclin-dependent kinase inhibitor p21 in a tumor suppressor p53-independent manner. CJGPT treatment also resulted in the inhibition of prostaglandin E2 release A549 cells by the down-regulation of cyclooxygenase-2. In the present study, we investigated the pathway of the induction of apoptotic cell death by CJGPT in A549 cells. It was found that CJGPT could inhibit the cell viability and induce the apoptotic cell death of A549 cells in a dose-dependent manner as measured by hemocytometer counts, flow cytometry analysis and agarose gel electrophoresis. Apoptosis of A549 cells by CJGPT was associated with a down-regulation of anti-apoptotic Bcl-2 and inhibitor of apoptosis proteins (IAPs) expression. Additionally, DNA fragmentation by CJGPT was connected with the activation of inhibitor of caspase-activated DNase/DNA fragmentation factor 45 (ICAD/DFF45) protein expression.