Purpose The purpose of this study was to investigate the difference of brain activity during action observation training and image training throughout EEG. Methods This study was participated 1 healthy college student without mental illness or cognitive impairment. The subject was randomly selected from university students and was interested in participating in the experiment. The purpose of this study was to investigate the visual and auditory stimuli (action observation) and brain image training. Results The results of our study, EEG value measured o.1 during resting. But brain activity changed to 0.3 during action observation. Finally, it changed to .05 after brain image training. Conclusion EEG measurement results were showed that after watching the Ball squat video, Brain activity increased.
Proceedings of the Korean Society of Broadcast Engineers Conference
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2009.01a
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pp.803-807
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2009
The bobsleigh is a winter sport which use a sled to slide down an ice-covered course. There is a big expectation for having a training environment and being able to train year round. At present, training is very limited due to the season or course facilities. A variety of VR (Virtual Reality) equipment has been developed in recent years, and it is beginning to spread. We have also made our contribution in bobsleigh simulation. The reactive force applied in our bobsleigh simulation is much smaller than that of a real bobsleigh. This paper proposes a method to enhance reactive force of bobsleigh simulation in real time. The reactive force is magnified instantly in the physically-based simulation. The Laplacian filter is applied to the sequence of reactive force, this technique is often used in the field of image processing. The simulation is comprised of four large scale surround screens and a 6-D.O.F. (Degree Of Freedom) motion system. We also conducted an experiment with several motion patterns to evaluate the effectiveness of enhancement. The experimental results proved useful in some cases.
This research is to verify the effects of Korean wave image on the national image and purchase intention of Korean educational product empirically. Also, it is to find out the moderating effect of engagement when Korean wave image is affecting purchase intention of Korean educational product. In order to verify this, the questionnaires were distributed to the Chinese university students of Shandong, in China, who recognized the Korean wave, and among those questionnaires, 315 were analyzed for this research. As a result of analysis, cognitive images is found out to make a positive effects on the affective image, national image and purchase intention of Korean educational products. And affective images is found out to make a positive effects on the national image and purchase intention of Korean educational products. This result suggests that throughout the factor of Korean wave, we should improve national image and try to find ways to export Korean educational industry to China. In order to activate Korean wave image in China, the government has to review the cultural contents development policies positively like promoting Korean soap operas.
The purpose of this study is to examine the effect of social self and body image on the appearance management behavior. The data were collected via a self-administered questionnaire from 419 male and female college students in Jecheon and analyzed by factor analysis, cluster analysis, t-test, regression and correlation. The results of this study were as follows : 1. Body image classified into four factors- emotional, cognitive, behavioral body image and interest in weight. 2. There existed correlation between social self and body image. According to gender, there existed significant differences in social self, body image and appearance management behavior. 3. College students classified into two groups- high and low social self group according to the degree of social self. Two groups showed statistically significant differences in body image and appearance management behavior. 4. In male and female groups, social self and body image influenced to the various appearance management behavior according to gender. The most important appearance management behavior which was affected by social self and body image was diet.
The purpose of this study is to compare and analyze the product image produced by the cinemagraph image and the product image produced by the general image in the electronic trade. The cinemagraph refers to the image with a special characteristic that provides the motion clue by playing the part of the picture endlessly in the form of a video. For this study, we explored how the perceived monetary value, brand attitude, and perceived taste would influence on the purchase intention, and it was analyzed that all of the three factors significantly influenced on the purchase intention. However, it was investigated that the purchase intention of the group watching the image by the cinemagraph was significantly influenced by the perceived monetary value and the perceived taste, and the purchase intention of the other group watching the general image was significantly influenced by the brand attitude and the perceived taste; therefore, it was verified that there was a difference between the group watching the cinemagraph and the group watching the general image. In this result, it could be interpreted that when the people watching the cinemagraph purchase a product in the shopping mall, the price becomes the important requirement, and when the people watching the general image purchase a product in the shopping mall, the brand becomes the important requirement; therefore, these results could provide great implications to the food marketers.
Journal of Korea Society of Digital Industry and Information Management
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v.14
no.2
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pp.35-47
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2018
The 4th industrial revolution, digital image technology has developed beyond the limit of multimedia industry to advanced IT fusion and composite industry. Particularly, application technology related to HCI element algorithm in 3D image object recognition field is actively developed. 3D image object recognition technology evolved into intelligent image sensing and recognition technology through 3D modeling. In particular, image recognition technology has been actively studied in image processing using object recognition recognition processing, face recognition, object recognition, and 3D object recognition. In this paper, we propose a research method of human factor 3D image recognition technology applying human factor algorithm for 3D object recognition. 1. Methods of 3D object recognition using 3D modeling, image system analysis, design and human cognitive technology analysis 2. We propose a 3D object recognition parameter estimation method using FACS algorithm and optimal object recognition measurement method. In this paper, we propose a method to effectively evaluate psychological research techniques using 3D image objects. We studied the 3D 3D recognition and applied the result to the object recognition element to extract and study the characteristic points of the recognition technology.
The goal of this research is a visual and auditory tool development enabling designers to have the same emotional value with users in the process of user centered design. Through the research, we intend to show the aid measure for making cognitive gaps narrow between users and designer in the process of transforming and understanding the emotional needs as a verbal image. because In the business practice of design, most of tools and techniques for assessment and analysis of emotional needs are those used usually in the marketing fields. So the information generated and transformed from users to designers have a form of physical words. When the designer's understanding of the emotional needs is considered as a product mediated communication process, the morphologic and cognitive information gaps become obvious. This difference could be a false basis in designing with emotional user needs. So the alternative needs assessment sub-tools of visual and auditory information form was embodied mainly for designer's cognitive gaps and inter-cultural emotional needs assessment. As the method of embodiment, Firstly, adjectives related to emotion were classified in their cognitive dimension. Secondly, visual and auditory data were extracted, and then the relativity verified. Finally, the practicality and effectiveness were tested through the database generation. In view of the results so far achieved, 1. We could find being of the big information cognitive gaps in the verbal assessment of emotional needs between designers and users. 2. With the visual and auditory assessment tool, we could make the big cognitive gaps narrower than we expected. 3. Also, we could find the chance that the fidelity, recognition, and friendliness of design for emotional user needs would become better.
Anti-aging is one of the key words to have characterized Korean society, and Korean adults in their 40s and 50s are very interested in this word. In this study, their cognitive ages and body images which are expected to have been influenced by anti-ageing were determined and correlation between them was examined. A survey was conducted and 368 of 500 questionnaires were used in data analysis. Data were analyzed by descriptives, factor analysis, reliability analysis, correlation analysis, and multiple response analysis through SPSS 12.0. The results are as follows. First, the cognitive ages of Korean adults in their 40s and 50s showed to be 37.5 years old which are 9.1 years old younger than their average actual ages. Second, their attitudinal body images appeared to be composed of appearance orientation and appearance evaluation, and appearance orientation represented to be a little higher than appearance evaluation. In addition, it showed that the correlation between cognitive ages and the attitudinal body images was low and negative. Third, people in their 40s and 50s revealed to think good health and impression as ideal body images. It was found that they regarded a face as the most important body part for ideal body images and were sensitive of their weight. Forth, correlation between cognitive ages and variables of ideal body images was identified to be significant in 4 variables which are slender, shapely and slim figure and good body proportions. In conclusion, it was shown that Korean adults in their 40s and 50s recognized themselves to be 9.1 years old younger and, the younger they perceive themselves, the younger body images they want. Also, it could be confirmed that anti-ageing is a megatrend in Korean society.
Reexamining Brecht's theoretical hypotheses in terms of cognitive science, this essay arrived at several temporary interpretations. Cognitive science implies that empathy can precede the rational understanding in Verfremdungseffekt. The spectator tends to simulate the unfamiliar incident and character and feels the consequential embodied emotion that leads to the cognitive understanding. The similar situation can be found in social gestus. According to cognitive science, gesture(social gestus) is simulated in the mirror-neuron of spectator, arousing consequently the embodied emotion that triggers the succeeding understanding. The spectator apts to experience and feel physically the moving gesture before decoding it as a social signification. Brecht's intention that attempts to reveal the duality of actor and character by eliminating the fourth wall is negated by cognitive science. According to the theory of conceptual blending, the spectator under the eliminated fourth wall mixes actor and character, and simulates this blending image so that he experiences it imaginatively. As such, another kind of illusion can be formed when a fourth wall is collapsed. Meanwhile, the critical thinking of spectator Brecht wanted can be hard to occur during the performance. It is necessary for the spectator to recollect the bygone dialogue and action in terms of social context as if he presses the pause, stopping the playback while watching a play in video. In this respect the social meaning Brecht intended can be achieved more effectively by the stop motion like tableau. It would not only give the time for the spectator to consider the implied social signification, but also make him possible to decode a semiotic meaning as if interpreting a still picture. Or it can be delivered by the dialogue that expresses the playwright's critical judgement. In this case, the subject of critical thinking is not the spectator but the author. The alternative explanation that the cognitive science suggests illuminates theoretically the reasons why Brecht's theory fails to be realized in practice. In a sense, Brecht's theory is nothing but a theoretical hypothesis. It takes the premise that the emotion hinders the rational thinking, understanding emotion and reason oppositively like Plato. This assumption is negated easily by the recent cognitive science that sees the reason as a by-product of physical experience including emotion. The rational understanding, in this sense, begins from the embodied emotion. As such the cognitive science denies the dichotomy of emotion and reason that Brecht adopted. The theoretical hypothesis of cognitive science makes us recognize again the importance of bodily experience in theatre. In theatre the spectator tends to experience physically before decoding the intellectual meaning. The spectator Brecht wanted, therefore, is far from the reality. The spectator usually experiences and reacts physically before decoding the meaning critically. Thus Brecht's intention can be realized by the embodied emotion resulted from simulation. This tentative interpretation suggests that we need to pay more attention to the empirical study of spectatorship, not remaining in a speculative study.
In this paper we present a face recognition and face detection algorithm in MPEG compressed video. The proposed method consists three stage of processing steps. The first step is to produce a spatially reduced DC image form MPEG compressed video for processing. And the second step is face detection on reduced DC image. Finally, the last step is face recognition on partially extracted compressed frames which contain the detected faces. The spatially reduced DC image is produced from two dimensional inverse DCT of the DC coefficient and the first two AC coefficients. The face detection is performed on DC image and face recognition is performed on one extracted frame per GOP by using the K-L transform. In order to evaluate the proposed method, we carried out experiments on video database. The experiment results show the proposed method is very efficient and helpful for target tasks.
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