• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2001.11a
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• pp.91-95
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• 2001

In this study, we estimated the behavior of the diversity of physiological responses under varied physical environmental factors by measuring variations of heart rate variability (HRV), an index of activity of cardiac autonomic control. Seven healthy young male adults consented and participated in the study. The environmental conditions consisted of thermal, lighting, and acoustic conditions. Two components of HRV were measured. one was the low frequency (LF) component of HRV, which provided a quantitative index of the sympathetic and parasympathetic (vagal) activities controlling the heart rate (HR). The other component measured was the high frequency (HF) component, which provided an index of the vagal tone. The percent contribution of physical environmental factors to the variations in HRV indices were calculated by ANOVA. The contribution of physical environmental factors to the variations in HR was higher than the contribution of HF and LF. However, the contribution of these factors was lower than the contribution related with individual difference in all indices. This result showed that the individual diversity of physiological responses is not a negligible quantity.

• Korean Journal of Oriental Medicine
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• v.3 no.1
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• pp.119-151
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• 1997

Conclusions for the relationship between a conceptional model of stress theory and its examination based on the Oriental medicine; 1. It was considered that a general conception of stress is included into the meaning of Ki in the Oriental medicine. 2. The response-based model to stress could be comparable to a conception of Ki-pathogens interchange In the Onental medicine. 3. The stimulus-based model may be explained as a modern conception of immoderation feeling related with an internal etiological factor, specially injury of seven emotions, among three groups of etiological factors for disease. 4. The feedback conception based on the interaction model could explain the principal of reversible emotion therapy in the nine Ki. 5. In the Oriental medicine, a study to clarify a emotional etiologic factor and its pathophysiologlcal mechanism has been continued for long time before establishment of stress theory.

• The Journal of Pediatrics of Korean Medicine
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• v.21 no.2
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• pp.121-132
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• 2007

Objectives The purpose of this study is to determine oriental medical concept of emotional intelligence, and to develop the ways of treatment. Methods We investigated the literature of the oriental and western medicine about an emotional intelligence. Results Regarding an emotional intelligence from the oriental medicine, it will follow in attributes of five elements(五行), five emotions(五志), seven passions(七情). Due to the five emotions and seven passions will take to control themselves with following the principle of poles at interinhibition, and intergeneration among the five phases. There is a possibility of trying to apply in reflection control of emotion(partIV). Five emotions(五志), depression theories(鬱症), and a control of theories of seven passions(七情調節) will be applied an emotional stability and an emotional control. Conclusions This study showed that oriental medicine has more merits better than western medicine about emotional intelligence, because oriental medicine consider that the body and mental is an inseparable relation. The further study is necessary with the concept formulation and for a historical investigation about an emotional intelligence.

• Journal of Oriental Neuropsychiatry
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• v.25 no.1
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• pp.109-122
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• 2014

Objectives: The aim of this study is to investigate the core emotion assessment instrument based on the Chiljeong. Methods: We searched for a literature review of oriental medicine and established the operational definition. Based on the existing psychological scale measurement, we selected the items and analyzed the reliability through a two-step preliminary study. Results: 1) Through the analysis of reliability after the two-step preliminary study (first: 170 items, n=63, second: 152 items, n=42), we had excellent internal consistency (Cronbach's alpha > 0.70) as well as good test-retest reliability (>0.70). Thus, we demonstrated that this scale had reliability. 2) Analyzing the correlation of each emotion, we had a comparatively strong positive-correlation (>0.6), except for Hui, and found a particularly high correlation of Sa, U and Bi. Conclusions: We developed the final 141 items of the core emotion assessment instrument through the two-time preliminary study. In the future, the main study on the clinical and non clinical groups of various ages should be continued.

• Journal of Digital Contents Society
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• v.19 no.7
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• pp.1349-1355
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• 2018

Recently, a variety of contents services over the internet are becoming popular, among which MCN(Multi Channel Network) platform services have become popular with the generalization of smart phones. The MCN platform is based on streaming, and various factors are added to improve the service. Among them, augmented reality sticker service using face recognition is widely used. In this paper, we implemented the MCN platform that masks the augmented reality sticker on the face through facial emotion recognition in order to further increase the interest factor. We analyzed seven facial emotions using deep learning technology for facial emotion recognition, and applied the emotional sticker to the face based on it. To implement the proposed MCN platform, emotional stickers were applied to the clients and various servers that can stream the servers were designed.

• Journal of Sasang Constitutional Medicine
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• v.18 no.3
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• pp.1-11
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• 2006

1. Objectives The purpose of this study is to find the kinds & meaninings of Qi in Lee Je-Ma's writings. 2. Methods We analyzed Lee Je-Ma's writings which contain the related contents of Qi's kinds & meanings 3. Results and Conclusions 1) There are distinctive Qi features of $sorrow{\cdot}anger{\cdot}joy{\cdot}pleasure$(哀怒僖樂) which are different from one of seven mode emotions(七情) in ${\ulcorner}$Gyukchigo(格致藁)${\lrcorner}$. 2) When $Water{\cdot}grain's$ Qi(臟氣) is the base of the human's Qi, $Nature{\cdot}emotion's$ Qi(性${\cdot}$情氣) is managing. And $Lung{\cdot}Spleen{\cdot}Liver{\cdot}Kidneys's$ Qi(肺脾肝腎氣) is the representative concept resulted by the complex operation of $Water{\cdot}grain's$ Qi(水穀之氣) and $Nature{\cdot}emotion's$ Qi. Each Qi stands for its protensity as follows ; Lung's Qi for extrorse propensity of Yang(Z), Spleen's Qi for upward propensity of Yang(陽), Liver's Qi for introrse propensity of Eum(陰), Kidneys's Qi for downward propensity of Eum(陰). 3) Jang's Qi is more important than medicine's Qi and medicine's Qi has a limitation about recovering jang's Qi. So that it is very important to take care of one's mind. 4) Controling mind Qi is controling Nature & emotion's Qi. Thus controling mind Qi si the best plan for jang's Qi and controling with medicine's Qi is the next policy. 5) Qi influences all aspect of personality, disease, application of medicines and ordinary symptoms. So that Qi is the kernel of the Sasang Constitutional Medicine.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.43-48
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• 2008

And this study intends to discuss especially the one using emotional filter among various information processing methods. The existing music recommendation service on the web has a weak point that it makes the user feel bored by recommending songs only with similar feeling of the same genre, because music is classified by tune, melody, atmosphere and genre before recommendation. The service using emotion filter, suggested in this study, recommends the song and lyrics appropriate to the current emotional state of the user by abstracting emotional words that could reflect the sensitivity of human and then search the words within lyrics to match in order to overcome the weak point of the existing service. This study starts where the current emotional status for the user is being input. As for the range to choose, there are the seven representatives of emotion which are, love, separation, joy, sorrow-gloom, happiness-lonesome, and anger. As the service receives input of user's emotion, it matches the emotional words appropriate for the emotion input with the lyrics, and ranks the lyrics in the order of priority, so that it recommends the song and it lyrics to the user.

• Dementia and Neurocognitive Disorders
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• v.23 no.3
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• pp.146-160
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• 2024

Background and Purpose: The emotions of people at various stages of dementia need to be effectively utilized for prevention, early intervention, and care planning. With technology available for understanding and addressing the emotional needs of people, this study aims to develop speech emotion recognition (SER) technology to classify emotions for people at high risk of dementia. Methods: Speech samples from people at high risk of dementia were categorized into distinct emotions via human auditory assessment, the outcomes of which were annotated for guided deep-learning method. The architecture incorporated convolutional neural network, long short-term memory, attention layers, and Wav2Vec2, a novel feature extractor to develop automated speech-emotion recognition. Results: Twenty-seven kinds of Emotions were found in the speech of the participants. These emotions were grouped into 6 detailed emotions: happiness, interest, sadness, frustration, anger, and neutrality, and further into 3 basic emotions: positive, negative, and neutral. To improve algorithmic performance, multiple learning approaches were applied using different data sources-voice and text-and varying the number of emotions. Ultimately, a 2-stage algorithm-initial text-based classification followed by voice-based analysis-achieved the highest accuracy, reaching 70%. Conclusions: The diverse emotions identified in this study were attributed to the characteristics of the participants and the method of data collection. The speech of people at high risk of dementia to companion robots also explains the relatively low performance of the SER algorithm. Accordingly, this study suggests the systematic and comprehensive construction of a dataset from people with dementia.

• Journal of Oriental Neuropsychiatry
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• v.31 no.4
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• pp.249-258
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• 2020

Objectives: S-HTP is a projective test of cognitive activity. The purpose of this study was to examine the response characteristics in the S-HTP test as they related to seven emotions and cognitive processes. Methods: 153 students underwent S-HTP testing. 10 students were excluded and a total of 143 students' data was used for the study. 143 students were classified into four groups by SCAT. A survey was conducted on seven emotions and cognitive processes painting the Whole picture, house, tree, and person, and after receiving IRB review exemption, the chi-square test was conducted to check homogeneity of the groups by gender and age. Finally, frequency analysis by constitution for each item was conducted. Results: The reaction characteristics of S-HTP, focusing on the seven emotions and cognitive processes detailed by Korean Medicine, are as follows: 1. The primary sentiment while drawing during S-HTP was 'Joy (hui)' followed by 'Thought (sah)'. 2. The sentiments while painting during the S-HTP test, and the emotions of looking at the picture after the S-HTP test, increased in 'Joy (hui)' and decreased in 'Thought (sah)'. 3. 'Thought (Sah)' was the highest scored process while drawing S-HTP, followed by 'jee (智)'. However, 'ryeo (慮)' was similar to 'jee (智)' in an unclassifiable constitution. Conclusions: The primary characteristics of the S-HTP test response are 'Joy (hui)' and 'Thought (sah)' in emotion, and 'sah (思)' and 'jee (智)' in cognitive processes. Therefore, it is necessary to verify this during the S-HTP test.

• Journal of the Ergonomics Society of Korea
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• v.34 no.2
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• pp.191-198
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• 2015

Objective: As a cue for desired mood, we attempted to identify types of sitting postures when people are involved in various tasks during their working hours. Background: Physical behaviors in reaction to user contexts were studied, such as automated posture analysis for detecting a subject's emotion. Sitting postures have high feasibility and can be detected robustly with a sensing chair, especially when it comes to an office. Method: First, we attached seven sensors, including six pressure sensors and one distance sensor, to an office chair. In Part 1, we recorded participants' postures while they took part in four different tasks. From the seven sensors, we gathered five sets of data related to the head, the lumbar, the hip, thigh pressure and the distance between the backrest and the body. We classified them into four postures: leaning forward, upright, upright with the lumbar supporting, and leaning backward. In part 2, we requested the subjects to take suitable poses for the each of the four task types. In this way, we compared the matches between postures and tasks in a natural setting to those in a controlled situation. Results: We derived four types of sitting postures that were mapped onto the different tasks. The comparison yielded no statistical significance between Parts 1 and 2. In addition, there was a significant association between the task types and the posture types. Conclusion: The users' sitting postures were related to different types of tasks. This study demonstrates how human emotion can interact with lighting, as mediated through physical behavior. Application: We developed a posture-based lighting system that manipulates the quality of office lighting and is operated by changes in one's posture. Facilitated by this system, color temperatures ranging between 3,000K and 7,000K and illuminations ranging between 300lx and 700lx were modulated.