• Title/Summary/Keyword: 표정분석

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Effect of Image Making Education on Self-Esteem and Education Satisfaction (이미지메이킹 교육이 자아존중감과 교육만족도에 미치는 영향)

  • Cho, Ju-Eun;Ko, Seon-Hee
    • The Journal of the Korea Contents Association
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    • v.14 no.11
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    • pp.1030-1040
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    • 2014
  • The purpose of this study is to examine the relationship among image making education, self-esteem and education satisfaction using airline service department in the university. In this study, 2 hypotheses based on literature reviews were employed. Questionnaire was also developed based on previous studies. A convenience sample of 240 students was surveyed and 218 usable questionnaires were analyzed. According to the exploratory factor analysis, image making education was divided into 'external image education', 'basic character education' and 'manner education'. Self-esteem, on the other hand, was categorized into the following variables: 'sense of value' and 'esteem' accordingly. Then the data and hypotheses were examined using structural equation modeling (SEM) by AMOS. The results are as follows. Firstly, 'external image' and 'manner education' have positive effect on 'sense of value' while manner education has effect on 'esteem'. Secondly, 'sense of value' and 'esteem' factor have positive effects on education satisfaction. Hence continuous and systematic education should be conducted to administer 'image making curriculum'. Self-esteem should also be taught in schools to encourage student's satisfaction on education. The contribution and limitations of this research were discussed and the future possible researches were mentioned.

A Study on Self-Expression Improvement of Children through Orff Activities (유아의 자기표현능력 증진을 위한 오르프 음악활동의 적용)

  • Kwon, Se mi
    • Journal of Music and Human Behavior
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    • v.6 no.1
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    • pp.55-80
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    • 2009
  • The objective of this study was to improve the self-expression of children through Orff activities. In this study, three (3) children from D day care center in Seoul who demonstrated withdrawn behaviors were chosen as research subjects, based on a self-expression test score of 50 points. The activities were conducted for 6 weeks, totaling fourteen (14) sessions, with each session being scheduled for forty (40) minutes. Across 14 sessions, the researcher conducted, analyzed and compared the self-expression scale of subjects, measured during the third and the last session. The researcher then qualitatively analyzed verbal and non-verbal self-expression behaviors of subjects by video recording the session. The analysis results shown by the study are as follows. First, the results of a quantitative analysis of the self-expression scale showed significant changes in self expression. Furthermore, the results of a qualitative analysis of verbal self-expression showed positive changes in self-perception and an increase in feelings of independence and activity than that of initial sessions.

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Review of Research Trends on Virtual Reality-Based Intervention for Students with Autism Spectrum Disorders and Intervention Characteristics (자폐 범주성 학생을 위한 가상현실 기반 중재 연구동향 및 중재 특성 고찰)

  • Yang, Yi;Lee, Suk-Hyang;Suh, Min-Kyung
    • The Journal of the Korea Contents Association
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    • v.17 no.2
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    • pp.623-636
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    • 2017
  • The use of virtual reality(VR)-based interventions for students with autism spectrum disorders(ASD) has received special attention as evidence-based practices for its feasiblity, practicality, and appropriateness. However, there is little research to investigate the effects of VR-based intervention for students with ASD in Korea. This study identifies and reviews studies applying VR-based interventions. In total, 13 experimental studies were found that examine the effects of VR interventions published from 1990 to 2016. The selected studies were analyzed by 6 variables including publication year, participants, research design, independent variable, dependent variable, and outcome. The results of this study showed the feasibility of the implementing VR-based interventions in various age group students with ASD. In addition, the utilization of VR techniques was particularly effective in improving a wide range of social communication skills including facial recognition, empathy, joint attention, understanding social context, and resolving issues due to limited cognitive abilities. Several recommendations for the future study on VR-based intervention for students with ASD such as interdisciplinary approach to VR-based interventions, support needs regarding characteristics of ASD, generalization and maintenance of acquired technology, and consideration for participants' cultural background. were discussed.

Arithmetic Fluctuation Effect affected by Induced Emotional Valence (유발된 정서가에 따른 계산 요동의 효과)

  • Kim, Choong-Myung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.2
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    • pp.185-191
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    • 2018
  • This study examined the type and extent of interruption between induced emotion and succeeding arithmetic operation. The experiment was carried out to determine the influence of the induced emotions (anger, joy, and sorrow) and stimulus types (picture and sentence) on the cognitive process load that may block the interactions among the constituents of working memory. The study subjects were 32 undergraduates who were similar with respect to age and education parameters and were especially instructed to attend to induced emotion by imitation of facial expression and to make a correct decision during the remainder calculation task. In the results, the stimulus types did not exhibit any difference but there was a significant difference among the induced emotion types. The difference was observed in slower response time at positive emotion(joy condition) as compared with other emotions(anger and sorrow). More specifically, error and delayed correct response rate for emotion types were analysed to determine which phase the slower response was associated with. Delayed responses of the joy condition by sentence-inducing stimulus were identified with the error rate difference, and those by picture-inducing stimulus with the delayed correct response rate. These findings not only suggest that induced positive emotion increased response time compared to negative emotions, but also imply that picture-inducing stimulus easily affords arithmetic fluctuation whereas sentence-inducing stimulus results in arithmetic failure.

Face Recognition Based on Facial Landmark Feature Descriptor in Unconstrained Environments (비제약적 환경에서 얼굴 주요위치 특징 서술자 기반의 얼굴인식)

  • Kim, Daeok;Hong, Jongkwang;Byun, Hyeran
    • Journal of KIISE
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    • v.41 no.9
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    • pp.666-673
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    • 2014
  • This paper proposes a scalable face recognition method for unconstrained face databases, and shows a simple experimental result. Existing face recognition research usually has focused on improving the recognition rate in a constrained environment where illumination, face alignment, facial expression, and background is controlled. Therefore, it cannot be applied in unconstrained face databases. The proposed system is face feature extraction algorithm for unconstrained face recognition. First of all, we extract the area that represent the important features(landmarks) in the face, like the eyes, nose, and mouth. Each landmark is represented by a high-dimensional LBP(Local Binary Pattern) histogram feature vector. The multi-scale LBP histogram vector corresponding to a single landmark, becomes a low-dimensional face feature vector through the feature reduction process, PCA(Principal Component Analysis) and LDA(Linear Discriminant Analysis). We use the Rank acquisition method and Precision at k(p@k) performance verification method for verifying the face recognition performance of the low-dimensional face feature by the proposed algorithm. To generate the experimental results of face recognition we used the FERET, LFW and PubFig83 database. The face recognition system using the proposed algorithm showed a better classification performance over the existing methods.

Affective Priming Effect on Cognitive Processes Reflected by Event-related Potentials (ERP로 확인되는 인지정보 처리에 대한 정서 점화효과)

  • Kim, Choong-Myung
    • The Journal of the Korea Contents Association
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    • v.16 no.5
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    • pp.242-250
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    • 2016
  • This study was conducted to investigate whether Stroop-related cognitive task will be affected according to the preceding affective valence factored by matchedness in response time(RT) and whether facial recognition will be indexed by specific event-related potentials(ERPs) signature in normal person as in patients suffering from affective disorder. ERPs primed by subliminal(30ms) facial stimuli were recorded when presented with four pairs of affect(positive or negative) and cognitive task(matched or mismatched) to get ERP effects(N2 and P300) in terms of its amplitude and peak latency variations. Behavioral response analysis based on RTs confirmed that subliminal affective stimuli primed the target processing in all affective condition except for the neutral stimulus. Additional results for the ERPs performed in the negative affect with mismatched condition reached significance of emotional-face specificity named N2 showing more amplitude and delayed peak latency compared to the positive counterpart. Furthermore the condition shows more positive amplitude and earlier peak latency of P300 effect denoting cognitive closure than the corresponding positive affect condition. These results are suggested to reflect that negative affect stimulus in subliminal level is automatically inhibited such that this effect had influence on accelerating detection of the affect and facilitating response allowing adequate reallocation of attentional resources. The functional and cognitive significance with these findings was implied in terms of subliminal effect and affect-related recognition modulating the cognitive tasks.

Development of Road Surface Management System using Digital Imagery (수치영상을 이용한 도로 노면관리시스템 개발)

  • Seo, Dong-Ju
    • Journal of the Korean Association of Geographic Information Studies
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    • v.10 no.1
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    • pp.35-46
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    • 2007
  • In the study digital imagery was used to examine asphalt concrete pavements. With digitally mastered-image information that was filmed with a video camera fixed on a car travelling on road at a consistent speed, a road surface management system that can gain road surface information (Crack, Rutting, IRI) was developed using an object-oriented language "Delphi". This system was designed to improve visualized effects by animations and graphs. After analyzing the accuracy of 3-D coordinates of road surfaces that were decided using multiple image orientation and bundle adjustment method, the average of standard errors turned out to be 0.0427m in the X direction, 0.0527m in the Y direction and 0.1539m in the Z direction. As a result, it was found to be good enough to be put to practical use for maps drawn on scales below 1/1000, which are currently producted and used in our country, and GIS data. According to the analysis of the accuracy in crack width on 12 spots using a digital video camera, the standard error was found to be ${\pm}0.256mm$, which is considered as high precision. In order to get information on rutting, the physically measured cross sections of 4 spots were compared with cross sections generated from digital images. Even though a maximum error turned out to be 10.88mm, its practicality is found in work efficiency.

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Study on Close-Up Shots in Film (2015) (영화 <사도>(2015)의 클로즈업 쇼트 연구)

  • Lee, A-Young
    • The Journal of the Korea Contents Association
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    • v.16 no.7
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    • pp.609-621
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    • 2016
  • A close-up shot, capturing all the fine details of an actor's face by filling up the frame, expresses an actor's performance more realistically than a stage where a living actor performs on. This is because a close-up generates an impact with its specific images and meanings seizing the attention of the audience and conjures up a psychological effect as if an actor's face is directly communicating with the audience at a minimum distance. Therefore, this study analyzed the film to examine the photographic effect and acting effect of close-up shots and recommend the need for acting training thereof. The film was selected since Song Kang-ho, to add more realism to his character acted going back and forth 20 years of age with a special makeup on face, his facial expressions, gestures, props in close-up successfully helped deliver the actor's performance by revealing the character's personality and emotions of the film, and generated an array of linguistic, visual and emotional meanings which are the key to film acting. This study is expected to contribute to helping actors to learn about the effect of close-ups and the key to film acting and find effective ways to express themselves in front of the camera.

Analysis for Practical use as KOMPSAT-2 Imagery for Product of Geo-Spatial Information (지형공간정보 생성을 위한 KOPMSAT-2 영상의 활용성 분석)

  • Lee, Hyun-Jik;You, Ji-Ho;Koh, Young-Chang
    • Journal of Korean Society for Geospatial Information Science
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    • v.17 no.1
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    • pp.21-35
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    • 2009
  • KOMPSAT-2 is the seventh high-resolution image satellite in the world that provides both 1m-grade panchromatic images of the GSD and 4m-grade multispectral images of the GSD. It's anticipated to be used across many different areas including mapping, territory monitoring and environmental watch. However, due to the complexity and security concern involved with the use of the MSC, the use of KOMPSAT-2 images are limited in terms of geometric images, such as satellite orbits and detailed mapping information. Therefore, this study aims to produce DEM and orthoimage by using the stereo images of KOMPSAT-2, and to explore the applicability of geo-spatial information with KOMPSAT -2. Orientation interpretations were essential for the production of DEM and orthoimage using KOMPSAT-2 images. In the study, they are performed by utilizing both RPC and GCP. In this study, the orientation interpretations are followed by the generation of DEM and orthoimage, and the analysis of their accuracy based on a 1:5,000 digital map. The accuracy analysis of DEM is performed and the results indicate that their altitudes are, in general, higher than those obtained from the digital map. The altitude discrepancies on plains, hills and mountains are calculated as 1.8m, 7.2m, and 11.9m, respectively. In this study, the mean differences between horizontal position between the orthoimage data and the digital map data are found to be ${\pm}3.081m$, which is in the range of ${\pm}3.5m$, within the permitted limit of a 1:5,000 digital map. KOMPSAT-2 images are used to produce DEM and orthoimage in this research. The results suggest that DEM can be adequately used to produce digital maps under 1:5,000 scale.

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A Generation of Digital Elevation Model for GSIS using SPOT Satellite Imagery (GSIS의 자료기반 구축을 위한 SPOT 위성영상으로부터의 수치표고모형 생성)

  • Yeu, Bock-Mo;Park, Hong-Gi;Jeong, Soo;Kim, Won-Dae
    • Journal of Korean Society for Geospatial Information Science
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    • v.1 no.1 s.1
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    • pp.141-152
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    • 1993
  • This study aims to generate digital elevation model from digital satellite imagery. Digital elevation model is being increasingly used for geo-spatial information system database development and for digital map production. Image matching technique was applied to acquire conjugate image coordinates and the algorithm for digital elevation model generation is presented in this study The exterior orientation parameters of the satellite imagery is determined by bundle adjustment and standard correlation was applied for image matching conjugate of image points. The window as well as the searching area have to be defined in image matching. Different sizes of searching area were tested to study the appropriate size of the searching area. Various coordinate transformation methods were applied to improve the computation speed as well as the geometric accuracy. The results were then statistically analysed after which the searching area is determined with the safety factor. To evaluate the accuracy of digital elevation model, 3-D coordinates were extracted from 1/5000 scale topographic map and this was compared to the digital elevation model generated from satellite imagery. The algorithm for generation of digital elevation model generated from satellite imagery is presented in this study which will prove effective in the database development of geo-spatial information system and in digital elevation modelling of large areas.

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