• International journal of advanced smart convergence
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• v.8 no.3
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• pp.13-19
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• 2019

In this paper, we propose and implement VVVV base interactive advertisement. It has now expanded from the traditional marketing methods of television, radio, newspapers and magazines to become a digital marketing era. However, it is still in the form of infusion-type advertising, similar to traditional marketing techniques. For more innovative we put story and design elements into digital technology. Consumers will feel fresh excitement as they experience advertising. Emotional stories and image will also provide an element for customers to talk to each other. The propose advertisement is design to recognize the movement of people in the corridor by using Arduino and ultrasonic sensor installed in the passageway where many people pass. Arduino and VVVV takes people's movements for a values. This values change the advertising image. In this case, we applied the mask in VVVV so that the image to be reproduced and the image of the background role are displayed when the person passes the sensor. By realizing this interactive advertisement, the objective is to increase the buyer's purchasing power by approaching the buyer more effectively than the existing advertisement.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.371-376
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• 2019

Creative thinking appears even before it is expressed in language, and its existence is revealed through emotion, intuition, image and body feeling before logic or linguistics rules work. In this study, Lego is intended to present experimental child interactive content that is applied with a computer vision based on image processing techniques. In the case of infants, the main purpose of this content is the development of hand muscles and the ability to implement imagination. The purpose of the analysis algorithm of the OpenCV library and the image processing using the 'VVVV' that is implemented as a 'Node' in the midst of perceptual changes in image processing technology that are representative of object recognition, and the objective is to use a webcam to film, recognize, derive results that match the analysis and produce interactive content that is completed by the user participating. Research shows what Lego children have made, and children can create things themselves and develop creativity. Furthermore, we expect to be able to infer a diverse and individualistic person's thinking based on more data.

• Journal of information and communication convergence engineering
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• v.18 no.2
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• pp.69-74
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• 2020

Myanmar, also known as Burma, has a rich cultural heritage, and its historical tourist attractions well known around the world. Therefore, we designed and developed an interactive spatial augmented reality (iSAR) book on the cultural heritage of Myanmar. This iSAR book has total of 18 pages with rich media content including videos, animations, audio, and images featuring the cultural heritage of Myanmar in a digital format. In addition to virtual content, navigational features such as virtual buttons and touch-based hand gestures were implemented using Leap Motion and VVVV. Therefore, the developed iSAR book allows virtual content and navigational features to merge seamlessly into a physical book. Five participants were recruited to evaluate the prototype iSAR book, and interviews were conducted to gather their feedback based on its immersive qualities. Thus, the developed iSAR book on Myanmar effectively shares the cultural heritage of Myanmar, and ultimately allows users to explore and gain more insight into the country.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.379-380
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• 2013

본 논문은 중국전통문화 오행문무(五行文武)와 인터랙티브 미디어 아트 개념을 결합한다. 중국 전통악기 고금(古琴, Gu Qui)을 레이저 다이오드와 빛감지센서를 이용하여 현을 하드웨어적으로 구현하고, VVVV를 활용하여 센서 인식, 음향재생, 프로젝션 화면 영상 시각화에 해당하는 소프트웨어를 구현한다.

• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.85-86
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• 2014

본 연구의 목적은 브랜드 홍보 잠재력이 낮아지고 있는 기업 브랜드의 아이덴터티 유지를 위한 도구로서 Projection Mapping의 활용 방안을 고찰하는 것이다. 브랜드 홍보 잠재력이 낮아지고 있는 지역 대표 기업인 기아 타이거즈를 연구 대상으로 선정하고, Brand Identity측면에서 Durability, Differentiation, Coherence, Flexibility 특성 중심으로 Interactive Projection Mapping을 구현하였다. 제작과정은 크게 C4d 를 활용한 홍보 영상 제작, VVVV와 Touch Sensor을 활용한 행동에 반응하는 영상 제어 과정으로 이루어졌다.

• International journal of advanced smart convergence
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• v.8 no.1
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• pp.126-132
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• 2019

Creative thinking appears even before it is expressed in language, and its existence is revealed through emotion, intuition, image and body feeling before logic or linguistics rules work. In this study, Lego is intended to present experimental child interactive content that is applied with a computer vision based on image processing techniques. In the case of infants, the main purpose of this content is the development of hand muscles and the ability to implement imagination. The purpose of the analysis algorithm of the OpenCV library and the image processing using the 'VVVV' that is implemented as a 'Node' in the midst of perceptual changes in image processing technology that are representative of object recognition, and the objective is to use a webcam to film, recognize, derive results that match the analysis and produce interactive content that is completed by the user participating. Research shows what Lego children have made, and children can create things themselves and develop creativity. Furthermore, we expect to be able to infer a diverse and individualistic person's thinking based on more data.

• International Journal of Advanced Culture Technology
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• v.7 no.2
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• pp.195-200
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• 2019

Media art, which is a combination of media technology and art, is making a lot of progress in combination with AI, IoT and VR. This paper aims to meet people's needs by creating a video that simulates the dance moves of an object that users admire by using media art that features interactive interactions between users and works. The project proposed a universal image synthesis system that minimizes equipment constraints by utilizing a deep running-based Skeleton estimation system and one of the deep-running neural network structures, rather than a Kinect-based Skeleton image. The results of the experiment showed that the images implemented through the deep learning system were successful in generating the same results as the user did when they actually danced through inference and synthesis of motion that they did not actually behave.