• Journal of Institute of Control, Robotics and Systems
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• v.13 no.8
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• pp.749-753
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• 2007

In this paper, a generalized version of the Motion Silhouette Image(MSI) called the Generic Motion Silhouette Image (GMSI) is proposed for gait recognition. The GMSI is a gray-level image and involves the spatiotemporal information of individual motion. The GMSI not only generalizes the MSI but also reflects a flexible feature of a gait sequence. Along with the GMSI, we use the Principal Component Analysis(PCA) to reduce the dimensionality of the GMSI and the Nearest Neighbor(NN) for classification. We apply the proposed feature to NLPR database and compare it with the conventional MSI. Experimental results show the effectiveness of the GMSI.

• Journal of Korean Theatre Studies Association
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• no.49
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• pp.49-71
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• 2013

Melodrama emerged as a form of the moral in the early modern age. As an approach 'the moral' not only means that rewarding virtue and punishing vice, but also refer to a principle of spiritual life and a way of life. -Melodrama theatricalizes a new vision of human life and society through a new type of the virtuous protagonist and sentiment/-ality. -This allows melodrama to be a dominant cultural form in this modern age, beyond the borders of the theater, mass-media, and literature. Virtue and sentiment/-ality are the core elements of melodrama, which differentiate it from tragedy and comedy especially in the structure and effect of the drama. Actually virtue and sentiment/-ality have been a main target of criticism. Virtue has been regarded as a trite quality of the stereotypical protagonist, and sentiment/-ality as a banal emotion which paralyzes an audience's recognition of reality. -However, this thesis regards both virtue and sentiment/-ality as vehicles for showing and sharing the morals of the modern age. First, the virtues of the protagonist included the general and universal ones of the bourgeois -at that times, the bourgeois represented themselves as a human being- such as the responsibility and obedience of a father, a mother, a wife, a husband, a daughter and a son. They also included the professional ethics such as courage, honesty, and justice and so on. The fall or salvation of the protagonist is largely determined by his/her private individual virtue. Second, sentiment/ality is a theatrical device that makes the audience internalize the protagonist's virtue. The protagonist expresses his/her universal virtue sentimentally, and the audience also expresses their virtue by sympathizing with the protagonist's virtue sentimentally. However, the melodramatic protagonist as an individual, is not connected with society, but remains isolated. As a result, s/he has no influence on the society, where s/he can only ends her/his play alone with a happy-ending. S/he is happy alone, or at best happy with his/her own family. On the contrary to this, tragic protagonist usually fixes social disorder through his/her fall. In that sense, we can say that melodrama presents only the half of the human life.

• Korean Journal of Human Ecology
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• v.17 no.1
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• pp.105-114
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• 2008

This study aims on observing the social recognition and its aspects for men taking care of their outer appearances at current point where men are rapidly rising as the main consumer in the beauty industry while their interest for outer appearances are increasing. Therefore, we observed the overall trend and changes in social recognition for male looks by analyzing the contents of articles in fashion magazines that play the critical role of spreading the trend while suggesting and delivering the diverse trend changes to the public to correspond to the individual and concrete demands of certain class segmented into gender, age, hobby, and more. As a result, articles related to outer appearances were divided into fashion, cosmetic and skin, hair and scalp, body figure care, cosmetic surgery, and others, and among them, fashion category took up the highest ratio. Also, articles related to outer appearances increased even more according to the change in time, where articles related to fashion and hair increased while articles of other categories decreased.

• Archives of design research
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• v.16 no.1
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• pp.297-304
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• 2003

The purpose of this study is to explore and understand correlation between an appearance of the web-graphics and rhetorical analysis. This paper was adopted semiotic approaches and four rhetorical tropes as follows metaphor, metonymy, synecdoche, irony. The web-graphics are parts of the web-contents that are increased continuously in the web-space these days. To investigate cgaracteristic of individual web-graphic this study selected semiotic framework and analysis meaning of the rhetorical tropes. The results of this study can be founded as follows: · Rhetorical graphics we produced linguistic features between human and signs for the fundamental characteristic of the signification. · Rhetorical graphics offer to the users the due of the decoding precesses through the narrative structures to symbolic schema. besides, these are operated limited framework of condensation and displacement. · The web-graphics participate human's recognition processes and rhetorical codes in order to investigate the sign-vehicle of the deep-structures.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.9C
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• pp.887-898
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• 2005

In this paper, we introduce a probabilistic model based on Bayesian networks BNs) for recognizing human fatigue. First of all, we measured face feature information such as eyelid movement, gaze, head movement, and facial expression by IR illumination. But, an individual face feature information does not provide enough information to determine human fatigue. Therefore in this paper, a Bayesian network model was constructed to fuse as many as possible fatigue cause parameters and face feature information for probabilistic inferring human fatigue. The MSBNX simulation result ending a 0.95 BN fatigue index threshold. As a result of the experiment, when comparisons are inferred BN fatigue index and the TOVA response time, there is a mutual correlation and from this information we can conclude that this method is very effective at recognizing a human fatigue.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.3
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• pp.45-60
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• 2023

In this study, we analyzed the influence of middle-aged office workers' entrepreneurial competency and entrepreneurial opportunity recognition on entrepreneurial intention by mediating entrepreneurial opportunity evaluation. Sub-variables of entrepreneurial competency were classified into prior knowledge, positive attitude, and social network. For the empirical analysis of this study, an online survey using Naver Office was conducted for about 15 days (February 6, 2023 - February 20, 2023) targeting office workers across the country who are interested in starting a business, and a total of 262 copies were collected and missing values. For 250 copies excluding 12 copies, SPSS Ver.24.0 and PROCESS MACRO Model 4.0 were used for empirical analysis. The results of the analysis are as follows: First, the higher the prior knowledge of the founder's individual competency, social network, and entrepreneurial opportunity recognition, the higher the entrepreneurial opportunity evaluation and entrepreneurial intention. On the other hand, it was found that the positive attitude among entrepreneurs' individual competencies did not affect entrepreneurship opportunity evaluation and entrepreneurial intention. In addition, the magnitude of the influence on entrepreneurial opportunity evaluation and entrepreneurial intention was in the order of entrepreneurial opportunity recognition, prior knowledge, and social network. This is because the positive attitude of middle-aged office workers towards start-up has a negative image of start-up due to the shrinking start-up environment due to COVID-19, fear of failure due to lack of preparation for start-up, and successive cases of start-up failure due to cognitive bias errors due to overconfidence. implying that there is Second, it was found that the evaluation of entrepreneurship opportunities had a significant positive (+) effect on entrepreneurial intention in a situation where the entrepreneur's individual competency and entrepreneurial opportunity recognition were controlled. Third, the startup opportunity evaluation was shown to mediate between the prior knowledge of the entrepreneur's individual competency, social network and entrepreneurial opportunity recognition, and entrepreneurial intention, but it did not mediate between positive attitude and entrepreneurial intention. Fourth, among the factors influencing entrepreneurial opportunity evaluation and entrepreneurial intention, entrepreneurial opportunity recognition was found to be larger than founder's individual competency, confirming the importance of entrepreneurial opportunity recognition. Fifth, it was found that prior knowledge and network, which are individual capabilities of the founder, affect the evaluation of entrepreneurial opportunities and entrepreneurial intention, so that strengthening entrepreneurship education to recognize the importance of cultivating prior entrepreneurial knowledge and experience can revitalize middle-aged office workers' entrepreneurship. confirmed.

• Journal of Digital Convergence
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• v.12 no.4
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• pp.319-326
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• 2014

According to the increasing mobile security users who have experienced authentication failure by forgetting passwords, user names, or a response to a knowledge-based question have preference for biological information such as hand geometry, fingerprints, voice in personal identification and authentication. Therefore biometric verification of personal identification and authentication for mobile security provides assurance to both the customer and the seller in the internet. Our study focuses on human hand biometric information recognition system for personal identification and personal Authentication, including its shape, palm features and the lengths and widths of the fingers taken from mobile phone photographs such as iPhone4 and galaxy s2. Our hand biometric information recognition system consists of six steps processing: image acquisition, preprocessing, removing noises, extracting standard hand feature extraction, individual feature pattern extraction, hand biometric information recognition for personal identification and authentication from input images. The validity of the proposed system from mobile phone image is demonstrated through 93.5% of the sucessful recognition rate for 250 experimental data of hand shape images and palm information images from 50 subjects.

• Science of Emotion and Sensibility
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• v.8 no.1
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• pp.1-7
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• 2005

This paper reports several emotion detecting methods based on various attributes of human voice. These methods have been developed at our Engineering Systems Laboratory. It is noted that, in all of the proposed methods, only prosodic information in voice is used for emotion recognition and semantic information in voice is not used. Different types of neural networks(NNs) are used for detection depending on the type of voice parameters. Earlier approaches separately used linear prediction coefficients(LPCs) and time series data of pitch but they were combined in later studies. The proposed methods are explained first and then evaluation experiments of individual methods and their performances in emotion detection are presented and compared.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1998.06b
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• pp.122-127
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• 1998

In this paper, we focus on the information retrieval of human individuals who are recorded on the video database. Our purpose is to index persons by their faces or voice and to retrieve their existing time sections on the video data. The database system can track as well as extract a face or voice of a certain person and construct a model of the individual person in self-organization mode. If he appears again at different time, the system can put the mark of the same person to the associated frames. In this way, the same person can be retrieved even if the system does not know his exact name. As the face and speaker modeling, a subspace method is employed to improve the indexing accuracy.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.360-363
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• 2018

Human activity is influenced by various factors, from individual physical features such as vertebral flexion and pelvic distortion to feelings such as joy, anger, and sadness. However, the nature of these behaviors changes over time, and behavioral characteristics do not change much in the short term. The activity data of a person has a time series characteristic that changes with time and a certain regularity for each action. In this study, we applied LSTM, a kind of cyclic neural network to deal with time - series characteristics, to the technique of recognizing activity type and improved recognition rate of activity type by measuring time and parameter optimization of components of LSTM model.