• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.143-149
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• 2019

Floating holograms are technologies that provide rich 3D stereoscopic images in a wide space such as advertisement, concert. In addition, It is possible to reduce the 3D glasses inconvenience, eye strain, and space distortion, and to enjoy 3D images with excellent realism and existence. Therefore, this paper implements a user gesture recognition system for manipulating a floating hologram characters that can be used in a small space devices. The proposed method detects face region using haar feature-based cascade classifier, and recognizes the user gestures using a user gesture-occurred position information that is acquired from the gesture difference image in real time. And Each classified gesture information is mapped to the character motion in floating hologram for manipulating a character action. In order to evaluate the performance of the proposed user gesture recognition system for manipulating a floating hologram character, we make the floating hologram display devise, and measures the recognition rate of each gesture repeatedly that includes body shaking, walking, hand shaking, and jumping. As a results, the average recognition rate was 88%.

• Journal of the Korea Fashion and Costume Design Association
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• v.23 no.3
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• pp.73-85
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• 2021

The purpose of this study is to understand the influence of the professor's image making (internal, external, social image) perceived by college students on instructional outcomes. The influence of the professor's image making on class satisfaction and class commitment was analyzed, and the mediating effect of class satisfaction and the relationship between class satisfaction and class commitment in the relationship between image making and class commitment was considered. First, it was found that the external image and social image of the professor had a significant effect on class satisfaction. The level of interpersonal relations, such as communication, manners, manners, and intimacy as well as the management of external expressions, clothing style, makeup, hair, gestures, postures, attitudes, voices, speech, and speech speed brings satisfaction to the class. Second, it was found that the professor's inner image, outer image, and social image had a significant effect on class commitment. In order to satisfy the students' immersion in class, professors are required to manage internal, external, and social images. Third, it was found that class satisfaction had a significant effect on class commitment. If the class satisfaction is high, it means that class immersion also increases. Fourth, as for the social image of a professor, it was found that class satisfaction had a completely mediating effect in the relationship between class commitment, and the external image of a professor was found to have a partial mediating effect in class satisfaction in the relationship between class commitment. It was found that the social image of professors perceived by college students improve class satisfaction, and this improves class satisfaction further enhances class immersion.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.6
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• pp.115-121
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• 2020

With the spread of IoT technology, various IoT applications using facial recognition are emerging. This paper describes the design and implementation of a remote control system using deep learning-based face recognition and hand gesture recognition. In general, an application system using face recognition consists of a part that takes an image in real time from a camera, a part that recognizes a face from the image, and a part that utilizes the recognized result. Raspberry PI, a single board computer that can be mounted anywhere, has been used to shoot images in real time, and face recognition software has been developed using tensorflow's FaceNet model for server computers and hand gesture recognition software using OpenCV. We classified users into three groups: Known users, Danger users, and Unknown users, and designed and implemented an application that opens automatic door locks only for Known users who have passed both face recognition and hand gestures.

• English & American cultural studies
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• v.14 no.2
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• pp.311-336
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• 2014

The essay examines two different editions of Anne Askew's Examinations published in the sixteenth century: John Bale's the First Examination and the Latter Examination and John Foxe's Acts and Monuments, and argues that retelling and rewriting one's experience is the process of storytelling that necessitates the repetition and communication of the experience. The essay looks at the parts the sixteenth-century editors particularly rewrote or retold the original version, and discusses how Askew's story was retold, repeated, and communicated through various storytellers who delivered not only the original text but also the original experience toward larger audience. While attempting to interpret, analyze, and expand on the story she did not tell, or the story she could not tell, Bale and Foxe developed her personal and anecdotal story into a communal narrative to share. Bale wrote a weak woman's martyrology by adding his interpretation and analysis, showing the way for the readers to follow in understanding her enigmatic silence and gestures. On the other hand, Foxe made the story a more dramatic and more seamlessly flowing narrative of the heroic sacrifice of a martyr. Foxe filled the room left by Askew's silence with directly quoted conversations and the graphic that could help explain what was between the lines. Apart from the rewritings of the reformists, the essay focuses on the fact that the editing, rearranging, and reinterpreting process already started with Askew's own writing. Although Askew declares herself an objective recorder of the series of events, her writing is carefully constructed with complex ideological fractures and rhetorical tactics, and her experience is tailored to fit a particular purpose. Along with Bale's and Foxe's rewritings, Askew's story of a reading woman should be also read as an intentional and interpretative storytelling on her own experience.

• English & American cultural studies
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• v.13 no.1
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• pp.83-103
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• 2013

This paper focuses on the function of suicidal images in the history of art including literature. Death has been romanticized or repoliticized into an existential act of defiance and rebellion in literary works, so questions remain about the correlation between literary suicide and the essence of suicide. Although Jacques Ranciere insists that the order of art contrasts with the order of common people whose acts and gestures can express either their specific purposes nor the rationalities of their frustration, literary suicide reflects the outside life of readers. In fact, images of suicide produces the order of things about the real world. William Shakespeare's Hamlet handled two oppositional self-murder significantly. As Ron M. Brown pointed out, Hamlet, by choosing confrontation, seeks out an end which is voluntary, thus he avoids self-destruction and feels triumph of heroic fashion. Ophelia's self-chosen death stems from loss, frailty and the disintegration of reason, which demeans the act and diminishes her from the tragic to the pathetic(16). In the $19^{th}$ century, the resurrection of Ophelia acted as the context for later periods where life itself is fictionalized from the differing periods of network of signifier and texts. Finally, in Ophelia's case, fiction became life(Brown 285). Her suicidal image was fixed in the Victorian Culture whose visual discourse was strikingly similar to that of the men. Likewise, the ambiguities of the suicide became intertwined with the social, cultural issues of a certain period, and the paradigm of suicide was conformed to the changing needs of successive generations. However, if literary art understands that a European culture grappled with the almost impossible task and coming to terms with this strangest and most persistent of phenomena, it will be able to focus on of the multi-layered suicide by recognizing the inherent instability of the verbal sign which cannot reveal the design and grammar of truth.

• The Journal of the Korea Contents Association
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• v.21 no.1
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• pp.1-11
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• 2021

The users of a chatbot messenger can be better engaged in the conversation if they feel intimacy with the chatbot. This can be achieved by the chatbot's effective expressions of human emotions to chatbot users. Thus motivated, this study aims to identify the appropriate emotional expressions of a chatbot that make people feel the social presence of the chatbot. In the background research, we obtained that facial expression is the most effective way of emotions and movement is important for relationship emersion. In a survey, we prepared moving text, moving gestures, and still emoticon that represent five emotions such as happiness, sadness, surprise, fear, and anger. Then, we asked the best way for them to feel social presence with a chatbot in each emotion. We found that, for an arousal and pleasant emotion such as 'happiness', people prefer moving gesture and text most while for unpleasant emotions such as 'sadness' and 'anger', people prefer emoticons. Lastly, for the neutral emotions such as 'surprise' and 'fear', people tend to select moving text that delivers clear meaning. We expect that this results of the study are useful for developing emotional chatbots that enable more effective conversations with users.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.110-119
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• 2021

The Coronavirus or COVID-19 is contagiousness virus that infected almost every single part of the world. This pandemic forced a major country did lockdown and stay at a home policy to reduce virus spread and the number of victims. Interactions between humans and robots form a popular subject of research worldwide. In medical robotics, the primary challenge is to implement natural interactions between robots and human users. Human communication consists of dynamic processes that involve joint attention and attracting each other. Coordinated care involves sharing among agents of behaviours, events, interests, and contexts in the world from time to time. The robotics arm is an expensive and complicated system because robot simulators are widely used instead of for rehabilitation purposes in medicine. Interaction in natural ways is necessary for disabled persons to work with the robot simulator. This article proposes a low-cost rehabilitation system by building an arm gesture tracking system based on a depth camera that can capture and interpret human gestures and use them as interactive commands for a robot simulator to perform specific tasks on the 3D block. The results show that the proposed system can help patients control the rotation and movement of the 3D arm using their hands. The pilot testing with healthy subjects yielded encouraging results. They could synchronize their actions with a 3D robotic arm to perform several repetitive tasks and exerting 19920 J of energy (kg.m².S^-2). The average of consumed energy mentioned before is in medium scale. Therefore, we relate this energy with rehabilitation performance as an initial stage and can be improved further with extra repetitive exercise to speed up the recovery process.

• The Research Journal of the Costume Culture
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• v.29 no.6
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• pp.779-794
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• 2021

In this study, the sales status of female ball-jointed dolls and their parts were investi- gated and analyzed. Baseline data from 194 products and 54 brands on domestic and international Internet sites was gathered for the manufacture of ball-jointed dolls and the development of prototype costumes for them. The results are as follows. First, the sizes used for ball-jointed dolls are SD, USD, MSD, 13SD, and 70SD together with height. This study analyzed 39 sizes (15~70cm) by classifying them into numbered groups: 1 (15~22cm), 2 (23~33cm), 3 (35~51cm), 4 (53~62cm), and 5 (63~70cm). The price varied depending on the size; for example, 50cm dolls were approximately 45,000 won, while limited editions were sold at high prices, regardless of their size. They were classified into designs according to their body proportions and facial features as follows: 7- or 8-head-figure, 5-head figure, and 3-head figure, and were presented proportionally as images of women, adolescents, and infants. Second, the head was incised so that the top could be removed horizontally or the facial region vertically, allowing attachment of the eyeballs (which were either glass, resin, or acrylic) to the inside. More than 30 different colors were sold. Various wig styles were provided, including cut, short hair, and perm. These were made from human hair, heat-resistant fiber, and artificial hair. For the hands, there was a design expressing human hand gestures. For the feet, heels were in the form of wearing either high-heels or flat soles.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.3
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• pp.396-402
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• 2022

User interactions are being developed in various forms, and in particular, interactions using human gestures are being actively studied. Among them, hand gesture recognition is used as a human interface in the field of realistic media based on the 3D Hand Model. The use of interfaces based on hand gesture recognition helps users access media media more easily and conveniently. User interaction using hand gesture recognition should be able to view images by applying fast and accurate hand gesture recognition technology without restrictions on the computer environment. This paper developed a fast and accurate user hand gesture recognition algorithm using the open source media pipe framework and machine learning's k-NN (K-Nearest Neighbor). In addition, in order to minimize the restriction of the computer environment, a stereoscopic image control system based on user hand gesture recognition was designed and implemented using a web service environment capable of Internet service and a docker container, a virtual environment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.6
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• pp.890-896
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• 2022

In this paper, gimbal camera control through smart gloves was implemented to increase convenience and accessibility to the control of drones used in various fields. Smart gloves identify human gestures and transmit signals through Bluetooth. The received signal is converted into a signal suitable for the drone through a GCS (Gound Control Station). Signals from smart gloves are expressed in a quaternion method to prevent gimbal locks, but for gimbal cameras, conversion is required to use Roll, Pitch, and Yaw methods. The data conversion mission is performed in the GCS. The GCS transmits an input signal to the control board of the drone through Wi-Fi. The control board generates and outputs the transmitted signal in a PWM manner. The output signal is input to the gimbal camera through the SBUS method and controlled. The input signal of the smart glove averaged 0.093 s and up to 0.099 s to output to the gimbal camera, showing that there was no problem in real-time use.