• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1999.11a
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• pp.162-166
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• 1999

30-40대 중년 여성 100명을 대상으로 Brassiere착용 상황, 요구사항을 조사, 분석하고 시판 Brassiere의 착용실험을 통해 착용감을 평가함으로써 Brassiere에 대한 소비자 요구와 착용감 평가차원을 추출하였다. 주관적 착용감 평가실험은 25명이 참여 하였으며, 실험은 온도 28$^{\circ}C$, 습도 65%RH의 인공기후실에서 실시하였다. Brassiere 착용감의 구성차원을 추출하기 위해 평가용어를 이용하여 평정한 값들을 요인분석한 결과, fit성 및 체형보정성, 심미성, 압박감, 동작에 의한 브라의 착용위치 변화의 4가지 요인으로 이루어졌음을 확인하였다. Brassiere 착용감을 예측하기 위해 평가용어를 회귀변수로 하여 회귀분석한 결과, Y=3.262+0.723X$_1$-0.646X$_2$ (Y: 착용감, X$_1$: 가슴과 컵모양이 잘 맞는다, X$_2$: 와이어 부분이 불편하다)로 나타났다. Brassiere 착용감에 대한 소비자의 정성적인 요구사항을 정량적으로 측정하기 위한 제품 디자인 요소중, 와이어와 주소재의 신축성이 착용감에 중요하게 작용하는 것으로 나타났다.

• Science of Emotion and Sensibility
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• v.14 no.2
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• pp.197-206
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• 2011

The purpose of the study was to suggest automatic recognition of the subject's level of arousal into high arousal and low arousal with neural network SOM learning. The automatic recognition in the level of arousal is composed of three stages. First, it is a stage of ECG measurement and analysis. It measures the subject playing a shooting game with ECG and extracts characteristics for SOM learning. Second, it is a stage of SOM learning. It learns input vectors extracting characteristics. Finally, it is a stage of arousal recognition which recognize the subject's level of arousal when new vectors are input after SOM learning is completed. The study expresses recognition results in the level of arousal and the level of arousal in numerical value and graph when SOM learning results in the level of arousal and new vectors are input. Finally, SOM evaluation was analyzed average 86% by comparing emotion evaluation results of the existing research with automatic recognition results of SOM in order. The study could experience automatic recognition with other levels of arousal by each subject with SOM.

• Journal of International Academy of Physical Therapy Research
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• v.5 no.2
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• pp.723-729
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• 2014

The purpose of this study is to understand the relationship between female college students' stress level and premenstrual syndrome so that it can provide baseline data on how to cope with the syndrome. The study subjects are 250 female college students in Gyungbook area. This study chose 199 appropriate subjects and collected data. As per general menstrual phases, this study investigated the age when one had her first period, regularity and duration of period, and amount of bleeding. It used a measurement tool to measure stress level and premenstrual syndrome. Most of the subjects experienced their first period before the age of 13. The menstrual period was irregular with the duration of less than 7 days. 123 subjects had normal amount of bleeding. 121 subjects were experiencing high level of stress over 2.4. The correlation between the level of stress and premenstrual syndrome factors showed significant static correlation for each factor. Especially, the correlation between digestive system and response of autonomic nervous system was .996 and negative emotion and behavioral change was .635, and negative emotion and pain was .614 which were relatively high. The regression analysis of factors of premenstrual syndrome depending on the subjects' stress level indicated that response of autonomic nervous system had the biggest effect in the low stress group while behavioral change, negative emotion, pain, decreased concentration, water congestion, response of autonomic nervous system, and skin change had the biggest effect in the high stress group with statistical significance. Based on the result, it can be said that higher premenstrual stress is closely related to the premenstrual syndrome one experiences for some female college students.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.1
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• pp.32-37
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• 2016

When another person is injured finger in the car door do you know that feeling? Do you feel the emotion reading a novel? How do you feel the emotion of other person? This is due to empathy. Empathy is feel emotion or react emotionally of other person. Empathy is feel together. In this paper, we are going to describe how to measure these empathy. Before you begin, it is not easy to measure human empathy. The reason is that humans have communications system is diverse. Because it is different feel and be expressed sympathy for each person, is required various data analysis. In this paper, we proposed a new method to utilize Head Nodding and a short speech units (1sec : A-ha, Yes, Good etc.).

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.3_4
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• pp.548-559
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• 2002

Value is one of the most useful variable for achieving marketing concept that satisfy consumer needs. The issue related to which value consumers have when they're shopping and which effect this shopping value has on the process of consumer satisfaction formation, would be helpful to understand the post-purchase behavior as well as the process of pre-purchase decision making. Therefore, the objective of this study was to clarify differences in the process of satisfaction formation in relation to the type of shopping value. The study was conducted in three steps. Through the two steps, measurement instruments were developed. At the last step, judgement sampling method were utilized to collect the data and subjects were 614 university students. Factor analysis, cluster analysis, frequencies, t-test, and structural equation model analysis were used to analyze the data. Two groups regarding shopping value were found, which included consumers with hedonic shopping value and consumers with utilitarian shopping value. Overall, the results revealed a similar tendency in the process of satisfaction formation between two groups. But the tendency, which expressive product performance was related to the positive consumption emotion more than instrumental product performance was and instrumental product performance was related to the negative consumption emotion more than expressive product performance was, was clearer in consumers with utilitarian shopping value than in those with hedonic shopping value. In consumers with utilitarian shopping value, expressive product performance has a greater effect on satisfaction than instrumental product performance did, but in consumers with utilitarian shopping value, expressive product performance showed a similar effect on satisfaction with instrumental product performance. Understanding of the post-purchase behavior of the consumers with hedonic shopping value and the consumers with utilitarian shopping value and practical administration of the differences of the two groups would contribute to build useful marketing strategies.

• Journal of Internet of Things and Convergence
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• v.9 no.6
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• pp.37-44
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• 2023

As a primary technology of Industry 4.0, human-robot collaboration (HRC) requires additional measures to ensure worker safety. Previous studies on avoiding collisions between collaborative robots and workers mainly detect collisions based on sensors and cameras attached to the robot. This method requires complex algorithms to continuously track robots, people, and objects and has the disadvantage of not being able to respond quickly to changes in the work environment. The present study was conducted to implement a web-based platform that manages collaborative robots by recognizing the emotions of workers - specifically their perception of danger - in the collaborative process. To this end, we developed a web-based application that collects and stores emotion-related brain waves via a wearable device; a deep-learning model that extracts and classifies the characteristics of neutral, positive, and negative emotions; and an Internet-of-things (IoT) interface program that controls motor operation according to classified emotions. We conducted a comparative analysis of our system's performance using a public open dataset and a dataset collected through actual measurement, achieving validation accuracies of 96.8% and 70.7%, respectively.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.521-534
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• 2016

This study examined the neurophysiological mechanisms of exercise deprivation by investigating differences in emotion changes and EEG prefrontal asymmetry in relation with exercise. Twenty male undergraduate university students in the 23-27 age range, amateur marathon runners, were selected as the participants (n=20) and divided into one of two experimental conditions at random: (1) exercise deprivation group (n=10), and (2) non-exercise deprivation group (n=10). PANAS-X measurement and EEG measurement from F3 and F4 scalp sites were performed at pre-test, 3 days after exercise deprivation, and 5 days after exercise deprivation. Results revealed that participants of EDG significantly decreased a positive effect after exercise deprivation on EEG and self-reported measures, and showed an increased negative effect after exercise deprivation on self-reported measures. In contrast, participants of NEDG significantly increased positive feelings after exercise and showed a decreased negative effect after exercise on EEG and self-reported measures. Our results showed that exercise deprivation increasing negative emotion after exercise deprivation. The findings of this study suggest that EEG frontal brain asymmetry can be used as diagnosing method for exercise deprivation.

• Science of Emotion and Sensibility
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• v.21 no.4
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• pp.43-54
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• 2018

The aim of this study is to determine the effect of motion sickness on pupil rhythm. Sixteen volunteers of both genders (8 male, 8 female, mean age $25.67{\pm}2.43$ years) experienced VR contents in both 2D and HMD versions for 15 minutes, and their pupillary rhythms were compared. The irregular pattern of the pupillary rhythms, as demonstrated by increasing mean pupil diameter (mPD) and standard deviation of the pupil diameter (sPD), revealed motion sickness after experiencing HMD condition. The pupillary response is strongly related to the cognitive load, and the motion sickness can be interpreted as a change in the cognitive load caused by the increasing volume of visual information that must be processed and the conflict or inconsistency between different sensory modalities. The method proposed in this study could be a non-contact measurement method for the monitoring of motion sickness using a web-camera rather than previous sensor-based methods.

• Journal of Broadcast Engineering
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• v.25 no.6
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• pp.973-979
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• 2020

This study aims to objectively and quantitatively determine the social emotion of empathy by collecting pupillary response. 52 subjects (26 men and 26 women) voluntarily participated in the experiment. After the measurement of the reference of 30 seconds, the experiment was divided into the task of imitation and spontaneously self-expression. The two subjects were interacted through facial expressions, and the pupil images were recorded. The pupil data was processed through binarization and circular edge detection algorithm, and outlier detection and removal technique was used to reject eye-blinking. The pupil size according to the empathy was confirmed for statistical significance with test of normality and independent sample t-test. Statistical analysis results, the pupil size was significantly different between empathy (M ± SD = 0.050 ± 1.817)) and non-empathy (M ± SD = 1.659 ± 1.514) condition (t(92) = -4.629, p = 0.000). The rule of empathy according to the pupil size was defined through discriminant analysis, and the rule was verified (Estimation accuracy: 75%) new 12 subjects (6 men and 6 women, mean age ± SD = 22.84 ± 1.57 years). The method proposed in this study is non-contact camera technology and is expected to be utilized in various virtual reality with smart glasses.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.6
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• pp.519-525
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• 2023

The human brain constantly emits electrical impulses, which is called brain waves, and brain waves can be defined as the electrical activity of the brain generated by the flow of ions generated by the biochemical interaction of brain cells. There is a study that emotion is one of the factors that can cause stress. Brain waves are the most used in the study of emotions. This paper is a study on whether emotions affect stress, and showed two images of fear and joy to four experimenters and divided them into three stages before, during, and after watching. As a measurement tool, brain waves at the positions of Fp1 and Fp2 were measured using the NeuroBrain System, a system that can automate brain wave measurement, analysis, brain wave reinforcement, and suppression training with remote control. After obtaining the brain wave data for each emotion, the average value was calculated and the study was conducted. As for the frequency related to stress, the values of Alpha and SMR, Low Beta, and High Beta were analyzed. Brainwave analysis affects stress depending on the emotional state, and "fear" emotions cause anxiety by raising Beta levels, resulting in higher Mind Stress levels, while "joy" emotions lower Beta levels, resulting in a significant drop in Mind Stress.