• Journal of People, Plants, and Environment
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• v.23 no.3
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• pp.277-291
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• 2020

Background and objective: The purpose of this study is to investigate the effects of visitors' positive emotions on satisfaction and loyalty with the perception of restorative environment of a healing garden created in an urban agriculture expo. Methods: The psychological indicators to the images of the healing garden were analyzed by the visitors' demographic variables and the three factors of plant cultivation activity level: plant cultivation experience, plant preference, and plant-related event. Results: Between age groups and occupational groups, significant differences were found statistically. The Perceived Restorativeness Scale(PRS) showed significantly differences between age groups in repose, fascination and legibility. The Positive Affect & Negative Affect Schedule(PANAS) showed statistically significant differences between age groups in positive emotions. In addition, we investigated the correlation between the PANAS and the three factors of plant cultivation experience level, the four factors of the PRS, satisfaction and loyalty. The three factors of plant cultivation experience level, the four factors of the PRS, satisfaction and loyalty showed a positive correlation with positive emotions and were inversely correlated with negative emotions significantly. Multiple regression analysis with dummy variables was conducted to examine the effects of plant cultivation activity level, attention restoration, and the PANAS on healing garden visitors' satisfaction and loyalty. As a result, among the four factors of the PRS, fascination and positive affectivity were significant variables that affect healing garden visitors' satisfaction and loyalty. Conclusion: The results indicated that the higher the attention restoration of visitors due to the fascination of the healing garden and the higher their positive affectivity and the more they have plant-related memories, the higher their impact on healing garden visitors' satisfaction and loyalty. Therefore, fascinating natural environments or greenery landscapes like healing gardens where people can contact plants would reduce negative emotions such as anger and sadness but to increase positive emotions such as pleasure, joy and satisfaction.

• Archives of Plastic Surgery
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• v.34 no.3
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• pp.325-329
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• 2007

Purpose: Mobius syndrome is a rare congenital disorder characterized by facial diplegia and bilateral abducens palsy, which occasionally combines with other cranial nerve dysfunction. The inability to show happiness, sadness or anger by facial expression frequently results in social dysfunction. The classic concept of cross facial nerve grafting and free muscle transplantation, which is standard in unilateral developmental facial palsy, cannot be used in these patients without special consideration. Our experience in the treatment of three patients with this syndrome using transfer of muscles innervated by trigeminal nerve showed rewarding results. Methods: We used bilateral temporalis muscle elevated from the bony temporal fossa. Muscles and their attached fascia were folded down over the anterior surface of the zygomatic arch. The divided strips from the attached fascia were passed subcutaneously and anchored to the medial canthus and the nasolabial crease for smiling and competence of mouth and eyelids. For the recent 13 years the authors applied this method in 3 Mobius syndrome cases- 45 year-old man and 13 year-old boy, 8 year-old girl. Results: One month after the surgery the patients had good support and already showed voluntary movement at the corner of their mouth. They showed full closure of both eyelids. There was no scleral showing during eyelid closure. Also full closure of the mouth was achieved. After six months, the reconstructed movements of face were maintained. Conclusion: Temporalis muscle transfer for Mobius syndrome is an excellent method for bilateral reconstruction at one stage, is easy to perform, and has a wide range of reconstruction and reproducibility.

• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.215-224
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• 2010

This paper is designed to investigate the attributes of sound and emotion resided in traditional Eastern thought by looking into acoustic theories such as Sunguarakron (聲有哀樂論) in Akgi(樂記), Sungmuaerakron(聲無哀樂論) of Haegang and Akhakgebum(樂學軌範), Chongiron(天機論) in Choson(朝鮮) dynasty. Six types of emotions, namely sadness, pleasure, happiness, anger, respect, and, affection (哀心, 樂心, 喜心, 怒心, 敬心, 愛心) which is related with sounds was closely reviewed through Akgi(樂記). Also attributes of sounds such as loudness, sharpness, pitch, roughness, fluctuation strength and pleasantness was corresponded with plain & complicated(單複), pitch, good & bad(善惡) slow & fast(舒疾), loud & quiet(猛靜) respectively. In addition to this, this paper is narrowed down that the basic ideas about sound and emotions of Choson(朝鮮) confucian scholar was based on theory of music and rhythm on Akgi(樂記). Furthermore, the relationship between expressed sound and emotions which was revealed in Chongiron(天機論) has been examined. Finally, various applied research and studies will be promoted through this study, because this study will provide foundation which supports sounds and emotions of Eastern.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.24 no.2
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• pp.83-89
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• 2013

Objectives : It is known that children with attention-deficit hyperactivity disorder (ADHD) experience significant difficulty in recognizing facial emotion, which involves processing of emotional facial expressions rather than speech, compared to children without ADHD. This objective of this study is to investigate the differences in facial emotion recognition between children with ADHD and normal children used as control. Methods : The children for our study were recruited from the Suwon Project, a cohort comprising a non-random convenience sample of 117 nine-year-old ethnic Koreans. The parents of the study participants completed study questionnaires such as the Korean version of Child Behavior Checklist, ADHD Rating Scale, Kiddie-Schedule for Affective Disorders and Schizophrenia-Present and Lifetime Version. Facial Expression Recognition Test of the Emotion Recognition Test was used for the evaluation of facial emotion recognition and ADHD Rating Scale was used for the assessment of ADHD. Results : ADHD children (N=10) were found to have impaired recognition when it comes to Emotional Differentiation and Contextual Understanding compared with normal controls (N=24). We found no statistically significant difference in the recognition of positive facial emotions (happy and surprise) and negative facial emotions (anger, sadness, disgust and fear) between the children with ADHD and normal children. Conclusion : The results of our study suggested that facial emotion recognition may be closely associated with ADHD, after controlling for covariates, although more research is needed.

• Korean Journal of Biological Psychiatry
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• v.18 no.4
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• pp.239-244
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• 2011

Objectives Schizophrenic patients have been shown to be impaired in both emotional self-awareness and recognition of others' facial emotions. Alexithymia refers to the deficits in emotional self-awareness. The relationship between alexithymia and recognition of others' facial emotions needs to be explored to better understand the characteristics of emotional deficits in schizophrenic patients. Methods Thirty control subjects and 31 schizophrenic patients completed the Toronto Alexithymia Scale-20-Korean version (TAS-20K) and facial emotion recognition task. The stimuli in facial emotion recognition task consist of 6 emotions (happiness, sadness, anger, fear, disgust, and neutral). Recognition accuracy was calculated within each emotion category. Correlations between TAS-20K and recognition accuracy were analyzed. Results The schizophrenic patients showed higher TAS-20K scores and lower recognition accuracy compared with the control subjects. The schizophrenic patients did not demonstrate any significant correlations between TAS-20K and recognition accuracy, unlike the control subjects. Conclusions The data suggest that, although schizophrenia may impair both emotional self-awareness and recognition of others' facial emotions, the degrees of deficit can be different between emotional self-awareness and recognition of others' facial emotions. This indicates that the emotional deficits in schizophrenia may assume more complex features.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.5
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• pp.573-580
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• 2005

In this paper, we propose an emotion recognition using static and dynamic facial images to effectively design human interface. The proposed method is constructed by HMM(Hidden Markov Model), PCA(Principal Component) and wavelet transform. Facial database consists of six basic human emotions including happiness, sadness, anger, surprise, fear and dislike which have been known as common emotions regardless of nation and culture. Emotion recognition in the static images is performed by using the discrete wavelet. Here, the feature vectors are extracted by using PCA. Emotion recognition in the dynamic images is performed by using the wavelet transform and PCA. And then, those are modeled by the HMM. Finally, we obtained better performance result from merging the recognition results for the static images and dynamic images.

• Journal of the Korea Society of Computer and Information
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• v.19 no.11
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• pp.159-166
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• 2014

In this paper, we examine the role of emotional acoustic cues including both prosody and voice quality parameters for the modification of a word sense. For the extraction of prosody parameters and voice quality parameters, we used 60 pieces of speech data spoken by six speakers with five different emotional states. We analyzed eight different emotional acoustic cues, and used a discriminant analysis technique in order to find the dominant sequence of acoustic cues. As a result, we found that anger has a close relation with intensity level and 2nd formant bandwidth range; joy has a relative relation with the position of 2nd and 3rd formant values and intensity level; sadness has a strong relation only with prosody cues such as intensity level and pitch level; and fear has a relation with pitch level and 2nd formant value with its bandwidth range. These findings can be used as the guideline for find-tuning an emotional spoken language generation system, because these distinct sequences of acoustic cues reveal the subtle characteristics of each emotional state.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.3
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• pp.523-528
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• 2015

This paper proposes an algorithm for risk situation recognition using facial expression. The proposed method recognitions the surprise and fear expression among human's various emotional expression for recognizing risk situation. The proposed method firstly extracts the facial region from input, detects eye region and lip region from the extracted face. And then, the method applies Uniform LBP to each region, discriminates facial expression, and recognizes risk situation. The proposed method is evaluated for Cohn-Kanade database image to recognize facial expression. The DB has 6 kinds of facial expressions of human being that are basic facial expressions such as smile, sadness, surprise, anger, disgust, and fear expression. The proposed method produces good results of facial expression and discriminates risk situation well.

• Journal of Convergence for Information Technology
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• v.10 no.10
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• pp.40-46
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• 2020

With the development of the Internet, users share their experiences and opinions. Since related keywords are used witho0ut considering information such as the general emotion or genre of an unstructured document such as a movie review, the sensitivity accuracy according to the appropriate emotional situation is impaired. Therefore, we propose a system that predicts emotions based on information such as the genre to which the unstructured document created by users belongs or overall emotions. First, representative keyword related to emotion sets such as Joy, Anger, Fear, and Sadness are extracted from the unstructured document, and the normalized weights of the emotional feature words and information of the unstructured document are trained in a system that combines CNN and LSTM as a training set. Finally, by testing the refined words extracted through movie information, morpheme analyzer and n-gram, emoticons, and emojis, it was shown that the accuracy of emotion prediction using emotions and F-measure were improved. The proposed prediction system can predict sentiment appropriately according to the situation by avoiding the error of judging negative due to the use of sad words in sad movies and scary words in horror movies.

• Journal of Satellite, Information and Communications
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• v.8 no.4
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• pp.117-123
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• 2013

The development of the latest emotional recognition and multimedia technology has changed the traditional broadcasting system. The previous broadcasting system, which was operated by the terrestrial broadcasters, is now transformed to the viewer-centered and bidirectional broadcasting through the convergence of internet, mobile and smart TV. In this paper, smart-phone application for estimating human emotion(sadness, anger, depression) has been developed and emerged with smart TV, thereby we can present broadcasting service for enhancing the sense of common humanity among people of same group. If there is friend in the depression, we can bring comfort to him by inviting one for TV program what I watch and having a honest talk with facial avatar or emoticon. The proposed emotional broadcasting service inter-working with smart-phone application can give feeling of belonging and happiness to the people suffering from the blues, and it can prevent him from attempting suicide. In addition, smart-phone based emotional broadcasting service can be expended to program recommendation service customized to user's emotion, emotional LED lighting service to maximize the sense of reality and home shopping service taking advantage of the mood of customer.