• International Journal of Computer Science & Network Security
• /
• v.23 no.9
• /
• pp.47-54
• /
• 2023

For Bengali music emotion classification, deep learning models, particularly CNN and RNN are frequently used. But previous researches had the flaws of low accuracy and overfitting problem. In this research, attention-based Conv1D and BiGRU model is designed for music emotion classification and comparative experimentation shows that the proposed model is classifying emotions more accurate. We have proposed a Conv1D and Bi-GRU with the attention-based model for emotion classification of our Bengali music dataset. The model integrates attention-based. Wav preprocessing makes use of MFCCs. To reduce the dimensionality of the feature space, contextual features were extracted from two Conv1D layers. In order to solve the overfitting problems, dropouts are utilized. Two bidirectional GRUs networks are used to update previous and future emotion representation of the output from the Conv1D layers. Two BiGRU layers are conntected to an attention mechanism to give various MFCC feature vectors more attention. Moreover, the attention mechanism has increased the accuracy of the proposed classification model. The vector is finally classified into four emotion classes: Angry, Happy, Relax, Sad; using a dense, fully connected layer with softmax activation. The proposed Conv1D+BiGRU+Attention model is efficient at classifying emotions in the Bengali music dataset than baseline methods. For our Bengali music dataset, the performance of our proposed model is 95%.

• Proceedings of the Korean Society for Language and Information Conference
• /
• 2007.11a
• /
• pp.311-320
• /
• 2007

Interrogative sentences are generally used to perform speech acts of directly asking a question or making a request, but they are also used to convey such speech acts indirectly. In the utterances, such indirect uses of interrogative sentences usually carry speaker's emotion with a negative attitude, which is close to an expression of anger. The identification of such negative emotion is known as a difficult problem that requires relevant information in syntax, semantics, discourse, pragmatics, and speech signals. In this paper, we argue that the interrogatives used for indirect speech acts could serve as a dominant marker for identifying the emotional attitudes, such as anger, as compared to other emotion-related markers, such as discourse markers, adverbial words, and syntactic markers. To support such an argument, we analyze the dialogues collected from the Korean soap operas, and examine individual or cooperative influences of the emotion-related markers on emotional realization. The user study shows that the interrogatives could be utilized as a promising device for emotion identification.

• Journal of The Korean Society of Integrative Medicine
• /
• v.4 no.1
• /
• pp.65-72
• /
• 2016

Purpose : This study was carried out to find out the relationship between emotion intelligence, learning flow and career stress of nursing students and influence factors for career stress. Methods : This study targeted 197 university students in their freshman-senior year attending College of Nursing located in P Metropolitan City. For collected data, real numbers and percentage, mean and standard deviation and multiple regression analysis were carried out by using PASW 21.0 program and the correlation between emotion intelligence, learning flow and career stress was analyzed with Pearson's correlation coefficients. Results : Emotional self-awareness(M=3.80, SD =.71), clear goals(M=3.39, SD=.90) and school environment stress(M=2.97, SD=.96) were found to be high in the degree of emotion intelligence, learning flow and career stress of the subjects. The relationship between emotion intelligence and learning flow showed a positive correlation(r=.489, p<.01) in the correlation between emotion intelligence, learning flow, career stress and emotion intelligence showed a negative correlation with career stress(r=-.204, p<.01). Emotion intelligence and learning flow show that career stress is predicted significantly (${\beta}$ =-.15, p < .01) and explained a career stress variate as 18%(F = 24.5, p < .01). Conclusion : Emotion intelligence of nursing students was found to be very influential on the degree of learning flow or career stress. Based on the results of this study, replication studies on emotion intelligence and career stress are needed and the development of intervention programs to increase emotion intelligence is needed.

• Science of Emotion and Sensibility
• /
• v.17 no.1
• /
• pp.63-70
• /
• 2014

Emotion regulation has been suggested as a pathway through which personality traits (e.g., extraversion or neuroticism) affect psychological well-being. However, the pathway needs further investigation across cultures due to variations in parts of the relationship reported in recent culture research. With an aim of improving current understanding of the pathway, we investigated the role of emotion regulation mediating the link between personality traits and well-being across two college samples from different cultural backgrounds: Korea and the United States (US). Results of mediation analysis revealed that the extraversion-well-being relationship was fully mediated by the degree to which individuals regulate negative emotions in both Korean and US samples. However, the neuroticism-well-being relationship was partially mediated by emotion regulation in the US sample, while it was fully mediated in the Korean sample. The role of emotion regulation differently functioning across cultures suggests the importance of investigating cultural-specific mechanism of psychological processes.

• Journal of Korean Library and Information Science Society
• /
• v.35 no.2
• /
• pp.243-272
• /
• 2004

The writer, looks at what the wounded emotion is and the factors of wounded emotion for housewives in korea. She then deals with the possibility of bibliotherapy as a way to cure the wounded emotion Finally, the writer looks into the plan of bibliotherapeutic program for the housewives with wounded emotion.

• Korean Journal of Child Studies
• /
• v.26 no.1
• /
• pp.1-14
• /
• 2005

The present study aims to examine the relations between emotion regulation, aggression and school adjustment of boys and girls. A total of 321 5th-6th grades students were selected for the study. The data was collected via questionnaires. As results, there were some significant differences between boys and girls in overt aggression and peer adjustment. It was also found that emotion regulation, aggression and school adjustment were significantly correlated. And school adjustment was influenced by emotion regulation as well as overt and relational aggressions. Finally, only for boys, the relations between children's emotion regulation and school adjustment were mediated by their aggression.

• 제어로봇시스템학회:학술대회논문집
• /
• 2005.06a
• /
• pp.101-106
• /
• 2005

In this paper, we propose a behavior decision model for a robot, which is based on artificial emotion, various motivations and dynamic personality. Our goal is making a robot which can express its emotion human-like way. To achieve this goal, we applied several emotion and personality theories in psychology. Especially, we introduced the concept of dynamic personality model for a robot. Drawing on this concept, we could make a behavior decision model so that the emotion expression of the robot has adaptability to various environments through interactions between human and the robot.

• Journal of Korea Multimedia Society
• /
• v.19 no.4
• /
• pp.717-724
• /
• 2016

Paintings can evoke emotions in viewers. In this paper, we propose a method for extracting emotion from paintings by using the colors that comprise the paintings. For this, we generate color spectrum from input painting and compare the color spectrum and color combination for finding most similarity color combination. The found color combinations are mapped with emotional keywords. Thus, we extract emotional keyword as the emotion evoked by the painting. Also, we vary the form of algorithms for matching color spectrum and color combinations and extract and compare results by using each algorithm.

• Korean Journal of Cognitive Science
• /
• v.7 no.3
• /
• pp.61-80
• /
• 1996

Recent studies on emotion as memory,and effects of emotion on memory were reviewied. The main issues discussed were : memory of emotional events,relation between implicit memory and emotion, and the effect of emotion on autobigraphical memory. The theoretical possibility and implications that emotion is not stored as some lower level node information in semantic network but as some higher level and inclusive information were descussed.

• Science of Emotion and Sensibility
• /
• v.14 no.1
• /
• pp.157-164
• /
• 2011

Emotion science is one of the rapidly expanding engineering/scientific disciplines which has a major impact on human society. Such growing interests in emotion science and engineering owe the recent trend that various academic fields are being merged. In this paper we propose the potential importance of the biochip technology in which the human emotion can be precisely measured in real time using body fluids such as blood, saliva and sweat. We firstly and newly name such a biochip an Emotion-On-a-Chip (EOC). EOC consists of biological markers to measure the emotion, electrode to acquire the signal, transducer to transfer the signal and display to show the result. In particular, microfabrication techniques made it possible to construct nano/micron scale sensing parts/chips to accommodate the biological molecules to capture the emotional bio-markers and gave us a new opportunities to investigate the emotion precisely. Future developments in the EOC techniques will be able to help combine the social sciences and natural sciences, and consequently expand the scope of studies.