• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 2003.05a
• /
• pp.1-4
• /
• 2003

본 연구는 경편성물의 특성에 영향을 미치는 중요한 구조변수인 조직, 편환의 계폐여부, 가이드바의 상호 움직임 방향에 따른 소리특성과 생리적 반응 사이의 관계를 파악함으로써 총합적 감성소재 설계를 위한 기초 자료를 제공하고자 하였다. 직물소리발생장치를 이용하여 7가지의 경편성물에 대한 마찰음을 녹음한 후, 이를 마찰음이 유발하는 생리반응을 측정하여 slow alpha파, fast beta파, ECG R-R, RESP, HF/LF, SCL, PV등을 분석하였다. 조직에 따라서는 LPT, Loundness(Z), Roughness(Z)와 Fluctuation strength(Z) 가장 큰 Sharkskin에서 fast beta파, ECG R-R, RESP는 증가하였으며 slow alpha파, PV, HF/LF는 감소하였다. 편환의 개폐여부에서는 폐환보다는 개환에서 Loudness(Z), Sharpness(Z), Fluctuation strength(Z)가 증가하였으며 RESP는 증가하고 HF/LF는 감소하여 개환이 더 불쾌한 감성을 유발하였다. 가이드바의 상호 움직임 방향은 counter보다는 parallel에서 slow alpha의 변화량이 감소하고 fast beta의 변화량이 증가하여 counter보다는 parallel이 더 불쾌한 감성을 유발하는 것으로 보인다. 또한 편성물의 음향특성 중 ΔL, Δf 와 Roughness(Z), Fluctuation Strength(Z)가 생리반응을 예측하는 중요한 요인으로써 나타났다.

• Journal of Biomedical Engineering Research
• /
• v.16 no.1
• /
• pp.101-106
• /
• 1995

In this paper, the patient monitor consisting of ECG/Respiration Amplification, Front end CPU, Main CPU, Main Controller, Video Amplifier, Display Controller, Waveform Generator, Bus & Power Supply, 8097 Processor was developed. This patient monitor measures the patient's states in the hospital such as elecctro-cardiography, respiration, blood pressurae and temperature. The control and processing methods based on micro-processor employ the flexibility, extensibility over other conventional system. The followings are incorporated in this system. First, ECG/RESP measures the respiration by impedence pneumography. Second, FECPU utilizes an Intel 8031 microcontroller. Third, Controller function originate from a LSI CRT controller.

• ETRI Journal
• /
• v.45 no.1
• /
• pp.105-118
• /
• 2023

We tested the feasibility of automated discrimination of patients with panic disorder (PD) from healthy controls (HCs) based on multimodal physiological responses using machine learning. Electrocardiogram (ECG), electrodermal activity (EDA), respiration (RESP), and peripheral temperature (PT) of the participants were measured during three experimental phases: rest, stress, and recovery. Eleven physiological features were extracted from each phase and used as input data. Logistic regression (LoR), k-nearest neighbor (KNN), support vector machine (SVM), random forest (RF), and multilayer perceptron (MLP) algorithms were implemented with nested cross-validation. Linear regression analysis showed that ECG and PT features obtained in the stress and recovery phases were significant predictors of PD. We achieved the highest accuracy (75.61%) with MLP using all 33 features. With the exception of MLP, applying the significant predictors led to a higher accuracy than using 24 ECG features. These results suggest that combining multimodal physiological signals measured during various states of autonomic arousal has the potential to differentiate patients with PD from HCs.

• Science of Emotion and Sensibility
• /
• v.20 no.3
• /
• pp.169-180
• /
• 2017

Individuals with high trait anxiety try to suppress their anger expression, thus there are limits in measuring their anger using subjective behavioral evaluation. In order to overcome this limitation, this study attempted to identify the difference in the autonomic nervous system responses induced by anger in individuals with high trait anxiety. Participants were divided into two groups, anxiety and control groups. Electrocardiogram (ECG), respiration (RESP), electrodermal activity (EDA), and skin temperature (SKT) were measured while participants were presented with an anger-inducing stimulus. Heart rate (HR), standard deviation of NN interval (SDNN), root mean square of successive difference (RMSSD), low frequency (LF), high frequency (HF), LF/HF ratio, respiration rate (RR), skin conductance level (SCL), and maximum skin temperature (maxSKT) were calculated before and after presenting the stimulus. Anxiety group reported greater anger by the anger-inducing stimulus compared to the control group. Anxiety group also showed significant increase in SDNN and LF, and decrease in HF, LF/HF ratio, and RR. These results suggest that the autonomic nervous system responses may be used as objective indicators of anger experiences in individuals with high trait anxiety.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 1999.11a
• /
• pp.211-215
• /
• 1999

It is well known that a long-term exposure to a loud noise environment affects performance, since it distracts attention, and also is able to evoke stress accompanied by negative emotional states. The purpose of this study was to analyze dynamics of subjective and physiological variables during long-lasting (30 min) exposure to intensive white noise (85 dB[A]). Physiological signals on 23 college students were recorded by BIOPAC, Grass Neurodata systems and AcqKnowledge 3.5 software. Autonomic variables, namely skin conductance level (SCL), non-specific SCR number (N-SCR), inter-beat intervals in ECG (RR intervals), heart rate variability index (HF/LF ratio of HRV), respiration rate (RESP), and skin temperature (SKT) were analyzed on 5 min epoch basis. Psychological assessment (subjective rating of stress level) was also repeated on every 5 min basis. Regression and correlation analyses were employed to trace the time course of the dynamics of the subjective and autonomic physiological variables and their relationship. Results showed that intense noise evokes subjective stress with associated autonomic nervous system responses. However, it was shown that physiological variables endure specific changes in the process of exposure to loud white noise. Discussed are probable psychophysiological mechanisms mediating reactivity to long-term auditory stimulation of high intensity.

• Science of Emotion and Sensibility
• /
• v.10 no.2
• /
• pp.273-280
• /
• 2007

The study is to examine the psychophysiological responses evoked by negative emotions(fear and disgust) in children. 47 children(11-13 years old, 23 boys) participated in the study. While the children were experiencing fear or disgust emotion induced by audio-visual film clips, ECG, EDA, PPG and SKT are measured. Emotion assessment scale was used to confirm that emotions elicited by the film clips were significantly noticeable, which was measured self-report. The results turned out to be 100% and 89.4% of appropriate for fear and disgust emotions, respectively. Emotional intensity the children had experienced was rated as 4.05, 4.07 on 1-5 scale based on effectiveness of measurement of fear and disgust emotion. ANS reponses by fear and disgust were significantly between the resting state and emotional state induced. The result obtained from the fear emotion showed significant increases in SCL, NSCR, HR, RSA, RESP and HF. There was a significant difference in SCL and NSCR between the two emotions.

• Journal of the Ergonomics Society of Korea
• /
• v.30 no.6
• /
• pp.705-713
• /
• 2011

Objective: The aim of this study is to compare results of emotion recognition by several algorithms which classify three different emotional states(happiness, neutral, and surprise) using physiological features. Background: Recent emotion recognition studies have tried to detect human emotion by using physiological signals. It is important for emotion recognition to apply on human-computer interaction system for emotion detection. Method: 217 students participated in this experiment. While three kinds of emotional stimuli were presented to participants, ANS responses(EDA, SKT, ECG, RESP, and PPG) as physiological signals were measured in twice first one for 60 seconds as the baseline and 60 to 90 seconds during emotional states. The obtained signals from the session of the baseline and of the emotional states were equally analyzed for 30 seconds. Participants rated their own feelings to emotional stimuli on emotional assessment scale after presentation of emotional stimuli. The emotion classification was analyzed by Linear Discriminant Analysis(LDA, SPSS 15.0), Support Vector Machine (SVM), and Multilayer perceptron(MLP) using difference value which subtracts baseline from emotional state. Results: The emotional stimuli had 96% validity and 5.8 point efficiency on average. There were significant differences of ANS responses among three emotions by statistical analysis. The result of LDA showed that an accuracy of classification in three different emotions was 83.4%. And an accuracy of three emotions classification by SVM was 75.5% and 55.6% by MLP. Conclusion: This study confirmed that the three emotions can be better classified by LDA using various physiological features than SVM and MLP. Further study may need to get this result to get more stability and reliability, as comparing with the accuracy of emotions classification by using other algorithms. Application: This could help get better chances to recognize various human emotions by using physiological signals as well as be applied on human-computer interaction system for recognizing human emotions.

• Science of Emotion and Sensibility
• /
• v.10 no.3
• /
• pp.463-470
• /
• 2007

There have been many studies on patients who suffer from anxiety disorders. However, there is been not enough attention on the difference in the level of between the two populations with and without anxiety disorders. This study was performed to investigate the difference in the ANS responses induced by fear in children. Experimental procedures were as follow: All subjects were in upper grade levels in elementary school. ANX(anxiety) scales of PIC(Personality Inventory for Children) were used to measure fear anxiety. Audio-visual clips were used as stimulus to provoke fear emotion. Baseline of physiological signals, ECG, PPG, EDA, and SKT, were measured for 30 seconds before the fear stimulus. Physiological signals were then recorded for 2 minutes while fear is evoked. Psychological and physiological responses were analyzed. All the children reacted to the fear stimulus with high intensity of fear. Physiological responses showed that SKT, SCR, NSCR, HR, RSA, RESP, HF were increased, while R-R was significantly decreased, respectively, during the period of fear induction. Analysis of the level of anxiety and the physiological responses produced by the experience of fear revealed a statistically significant positive correlation in SKT, HR, and RSA. In other words, the higher the level of anxiety, the higher the levels of SKT, HR, and RSA when children experienced fear in conclusion, it is confirmed through this research that physiological responses to fear is associated with the level of anxiety each individual.