• Journal of The Association for Neo Medicine
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• v.1 no.2
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• pp.39-55
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• 1996

The theory of seven emotions is a unique theory in oriental medicine which describes the mutual relationship between body and mind of human. Although, the term 'Seven emotions' was not clearly indicated in ${\ulcorner}$The Yellow Emperor's Internal Classic(黃帝內經)${\lrcorner}$, it is appeared in ${\ulcorner}$A Treatise on the Three Catagories of Cause of Diseases(三因方)${\lrcorner}$ written by Chen Yan(陳言) in South-Song Dynasty. It seemed that Chen Yan explained seven emotions as the internal etiologic factor according to the classification of seven emotions of ${\ulcorner}$Ye-Gi(禮記)${\lrcorner}$ under the academic influence during Song Dynasy which emphasized more on the standard of right and wrong rather than individual emotion. Meditation or consideration modulates the function of spleen and stomach and the metabolism of blood and body fluid and it also controls the various emotions and maintains the equilibrium of human body. Human emotions are influenced by the changes of nature and deeply related to time and space including social-environmental factors. The function and strength of seven emotions: joy, anger, anxiety, worry, grief, apprehension and fright are determined by the external stimulation as the causes of illness.

• Journal of Oriental Neuropsychiatry
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• v.23 no.3
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• pp.33-46
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• 2012

Objectives : Emotion is composed by several basic feelings. This basic feeling is called Chiljung in Oriental Medicine. This study examines the positive and negative affects related to Chiljung. Methods : A total of 199 students of Dongshin university oriental medicine were tested by Questionnaire for Sasang Constitution ClassificationII(QSCCII) and Positive Affect and Negative Affect Schedule(PANAS). This study is used 156 students' data, excluding 43 students' data. Of the enrolled 156 students, four groups were classified by QSCCII. The positive and negative properties of Chiljung were determined by PANAS. These data were analyzed by frequency, Pearson's chi-square test, Crosstabulation Analysis with SPSS windows 15.0. Results : 1. Joy(喜) and Anger(怒) has directly-opposed emotional properties. 2. Thought(思) difficult to tell the difference between positive and negative, but it is distinct from Anxiety(憂) and Sorrow(悲) 3. Anxiety(憂) and Sorrow(悲) are superior in negative emotional properties. 4. Fear(恐) and Fright(驚) are superior in negative emotional properties, and Fright(驚) is superior over Fear(恐) in positive emotional properties. Conclusions : This study may serve as the foundation in identifying the psychological traits of Chiljung.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.3
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• pp.381-386
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• 2015

In recent, many researches have been studying sensitivity and psychology of human being on color and the necessity of psychology therapy by color. Among them, a picture of children can be a tool to represent their emotion. Information of colors and direction on a child's picture often represent his internal psychological states unconsciously and is different from the brightness of a color. In this paper, we propose a method to extract domain colors by color classification and subdivision the classes of brightness using fuzzy inference. In addition, it is shown that our method is used for analysing the psychology status of children through their pictures.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.9
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• pp.1099-1111
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• 2011

This study identified the types of consumer review information about apparel products based on consumer satisfaction/dissatisfaction with the availability/non-availability of consumer review information for online stores. Data were collected from 318 females aged 20s' to 30s', who had significant experience in reading consumer reviews posted on online stores. Consumer satisfaction/dissatisfaction with availability or non-availability of review information on online stores is different for information in regards to apparel product attributes, product benefits, and store attributes. According to the concept of quality elements suggested by the Kano model, two types of consumer review information were determined: Must-have information (product attribute information about size, fabric, color and design of the apparel product; benefit information about washing & care and comport of the apparel product; store attribute information about responsiveness, disclosure, delivery and after service of the store) and attracting information (attribute information about price comparison; benefit information about coordination with other items, fashionability, price discounts, value for price, reaction from others, emotion experienced during transaction, symbolic features for status, health functionality, and eco-friendly feature; store attribute information about return/refund, damage compensation and reputation/credibility of online store and interactive and dynamic nature of reviews among customers). There were significant differences between the high and low involvement groups in their perceptions of consumer review information.

• Fashion & Textile Research Journal
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• v.1 no.3
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• pp.246-251
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• 1999

Headdress which adorns the head has been used not only as a type of dress but also as a vehicle to express the human's mentality and a tool to convey ideas. This study first examines the type of headdress observed in the world folk costumes and investigates their geographical distribution and aims to examine how the types of headdress are inter-related to the peoples' natural environments, way of life and cultural background such as religion and aesthetic, ethical standards. Headdress used as important elements of many peoples' folk costumes can be categorized into scarf-type, hat-type and adornment-type. Veil-type, the one of scarf-types, was developed in Southwestern Asia and Arabic Africa influenced by natural and religious factors. This type is more simplified in Turkey and Eastern Europe and only covers head and neck in the former and only head in the latter while also being called 'headkerchief-type'. Hat-type is observed in many different parts of the world. Adornment-type has been used to symbolized one's noble social status and authority in societies dominated by shamanistic cultural background; it was also used in Far East out of the motivation to fulfil one's aesthetic desire. Headdress though it was originally made from the idential purpose of wearing, has developed into the various types affected by each people's natural environments, emotion and ways of life.

• Journal of Physiology & Pathology in Korean Medicine
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• v.20 no.5
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• pp.1102-1110
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• 2006

Sambyun(三變) is standard classification for nine palace. Through sambyun you can define new meaning of 'self' in three perspective ways. First 'self' could mean desire, emotion and memory which are ontological values. second, 'self' could mean id, ego, and superego which are practical values. Third 'self' could mean unconscious, preconscious and conscious which are epistemological values. Samjae(三才) is method that analyze things base on common features. Sa sang is method that analyze things base on difference. They both are device that searching for reason. If you put one's mind in center to observe the universe creativity of great absolute and symmetry distinction of yingyang produces jeung(情), supreme intelligence(神), and soul(魂魄). With these facts identity of the heaven(天), earth(地) and man(人) which is named samjae(三才) generates symbols of independent sasang(四象). And also, sasang generates relations between five element(五行), six energy(六氣). From ten shen(十神) relation comes seven feelings(七情) of man which creates a category of the eight trigrams(八卦) for divination and unification of nine palace(九宮). All these process are united.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.179-184
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• 2021

In our study we performed a sentiments analysis from the images. For this purpose, we used 153 images that contain: people, animals, buildings, landscapes, cakes and objects that we divided into two categories: images that suggesting a positive or a negative emotion. In order to classify the images using the two categories, we created two models. The SAI-G model was created with Google's AutoML Vision service. The SAI-C model was created on the Clarifai platform. The data were labeled in a preprocessing stage, and for the SAI-C model we created the concepts POSITIVE (POZITIV) AND NEGATIVE (NEGATIV). In order to evaluate the performances of the two models, we used a series of evaluation metrics such as: Precision, Recall, ROC (Receiver Operating Characteristic) curve, Precision-Recall curve, Confusion Matrix, Accuracy Score and Average precision. Precision and Recall for the SAI-G model is 0.875, at a confidence threshold of 0.5, while for the SAI-C model we obtained much lower scores, respectively Precision = 0.727 and Recall = 0.571 for the same confidence threshold. The results indicate a lower classification performance of the SAI-C model compared to the SAI-G model. The exception is the value of Precision for the POSITIVE concept, which is 1,000.

• Smart Media Journal
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• v.7 no.4
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• pp.90-98
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• 2018

A Multilinear LDA Method of Tensor Representation for ECG Signal Based Individual Identification Electrocardiogram signals, included in the cardiac electrical activity, are often analyzed and used for various purposes such as heart rate measurement, heartbeat rhythm test, heart abnormality diagnosis, emotion recognition and biometrics. The objective of this paper is to perform individual identification operation based on Multilinear Linear Discriminant Analysis (MLDA) with the tensor feature. The MLDA can solve dimensional aspects of classification problems in high-dimensional tensor, and correlated subspaces can be used to distinguish between different classes. In order to evaluate the performance, we used MPhysionet's MIT-BIH database. The experimental results on this database showed that the individual identification by MLDA outperformed that by PCA and LDA.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.147-149
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• 2021

Recently, the rapid growth of the media market and the expectations of users have been increasing. In this research, tags are extracted through media-derived audio and classified into specific categories using artificial intelligence. This category is a type of emotion including joy, anger, sadness, love, hatred, desire, etc. We use JupyterNotebook to conduct the corresponding study, analyze voice data using the LiBROSA library within JupyterNotebook, and use Neural Network using keras and layer models.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.6
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• pp.884-889
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• 2010

Recently, a music genre classification has been studied. However, experts use different criteria to classify each of these classifications is difficult to derive accurate results. In addition, when the emergence of a new genre of music genre is a newly re-defined. Music as a genre rather than to separate search should be classified as emotional words. In this paper, the feelings of people on the basis of brightness and darkness tries to categorize music. The proposed classification system by applying VCM(Variance Considered Machines) is the contrast of the music. In this paper, we are using three kinds of musical characteristics. Based on surveys made throughout the learning, based on musical attributes(beat, timbre, note) was used to study in the VCM. VCM is classified by the trained compared with the results of the survey were analyzed. Note extraction using the MATLAB, sampled at regular intervals to share music via the FFT frequency analysis by the sector average is defined as representing the element extracted note by quantifying the height of the entire distribution was identified. Cumulative frequency distribution in the entire frequency rage, using the difference in Timbre and were quantified. VCM applied to these three characteristics with the experimental results by comparing the survey results to see the contrast of the music with a probability of 95.4% confirmed that the two separate.