• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.1388-1391
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• 2010

In this paper, we present a design and implementation of U-learning system using pen based augmented reality approach. Student has been given a smart pen and a smart study book, which is similar to the printed material already serviced. However, we print the study book using CMY inks, and embed perceptually invisible dot patterns using K ink. Smart pen includes (1) IR LED for illumination, IR pass filter for extracting the dot patterns, and (3) camera for image captures. From the image sequences, we perform topology analysis which determines the topological distance between dot pixels, and perform error correction decoding using four position symbols and five CRC symbols. When a student touches a smart study books with our smart pen, we show him/her multimedia (visual/audio) information which is exactly related with the selected region. Our scheme can embed 16 bit information, which is more than 200% larger than previous scheme, which supports 7 bits or 8 bits information.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.15 no.4
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• pp.260-267
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• 2015

In the past, we implemented a web-based smart education platform, but this is not efficient in a smart or mobile education environment. Therefore, in this paper, we propose an Android-based e-board smart platform for a smart or mobile education system. Here, we use Anoto digital pen- and dot pattern-based technologies. This Android-based smart education platform is efficient for a smart education environment. Further, we implement the hardware and software parts of the technologies, an Anoto-based trajectory recognition algorithm, and a probabilistic neural network for handwritten digit and hand gesture recognition.

• Journal of Engineering Education Research
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• v.18 no.6
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• pp.52-56
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• 2015

Usually, students write on a paper using writing materials and submit it to teachers when they do a homework or take an exam. However, there are temporal and spacial constraints because teachers and students should be in the same place at the time in this system. In addition, it is hard for teachers to maintain numerous papers from students. Applying a digital pen produced by Pen Generations Corporation to education system, we developed a smart education system transmitting image data from written papers using digital pen. As a result, teachers and students can use this system without any constraints. In addition, teachers are able to maintain their papers from students more effectively.

• Journal of Korean Institute of Industrial Engineers
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• v.42 no.1
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• pp.57-64
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• 2016

Pen-based interaction is universally available on smart devices and especially on Tablet PCs. Previous studies compared various input methods like fingers, a mouse or a stylus pen on PCs or on a touchscreen based devices such as smart phones. At the same time, various soft keyboard applications are being developed on application stores of smart devices. However, these previous studies did not suggest which one is a suitable keyboard application for Tablet PCs when users perform a certain interaction as input type. In this study, we compared two types of input methods (finger and pen) and three types of soft keyboard applications (QWERTY, Gesture and Swype) in a Tablet PC using performance measurements (accuracy and input speed) and discussed what types of applications showed better performance with each interaction on tablet PC. From these results, recommendations for the keyboard types depending on the input methods on tablet PCs were developed.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.413-421
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• 2016

This research, mainly focused on the development of the iPhone exclusive app 'Sketch Plus', is on the production of pens within the smart media. Our goal is to develop and reproduce pens with surreal rendering as a base and during that process, describe the fusing process of design perspectives and algorithms. This research comprehends the concept of surreal rendering, which is a technique that mimics traditional art forms, and suggests 15 pen techniques and ways to display them by analyzing previous research on smart media. We have described the process of using hatching patterns and resused to solve lag problems that occur during the reproduction of pen techniques due to the limitations of smart devices and organized the conversion process of pen patterns into 4 steps: rough sketch, contrast, applying and mimicking patterns, and applying color. We hope that this research on the reproduction of analog pen techniques can be used as an example for production on fused surreal rendering.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.161-168
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• 2019

The purpose of this study analyze consumer usage characteristics and product development guide of electronic pen based on TAM theory(Davies, 1989). Research methods apply contents analysis(qualitative research) and Activity/Inactivity analysis of main consumer participation. Research results are as follows. Active consumer indicated 30-49 age, male, office job and research fellow. And they suggested stable power supply system, App connected pen function extension, add the modified pen function, advanced data recognition of pen, advanced take note ability and stable grip feeling of pen, selected line width, synchronization improvement with other smart device and charging function. These result indicated the importance product improvement diffusion factor of early market to main market. The future research of electric pen focused on different product strategy between electric pen and smart device connected electric pen.

• Korean Journal of Artificial Intelligence
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• v.2 no.1
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• pp.1-3
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• 2014

These days, interest and demand on smart learning has rapidly increased. Video English and mobile system based English speaking service have become popular. This study gave prototype of application to give and take voice message with world people and to give new concept of voice pen-pal beyond exchange of text messages. In modern society having rapidly increasing demand on smart learning, you can study foreign language by smart phone and communicate with foreigners by voice anytime and anywhere. The app allows global exchange to learn conversation. Recruitment of initial users and profit model have problems. We shall develop to improve problems and to solve difficulty.

• Journal of the Korea Society of Computer and Information
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• v.20 no.10
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• pp.15-21
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• 2015

In this paper, we propose a stable automatic signature verification algorithm applicable to various smart devices. The proposed algorithm uses real and forgery data all together, which can improve the verification rate dramatically. As a tool for signature acquisition in a smart device, two applications, one using touch with a finger and the other using a pressure-sensing-stylus pen, are developed. The verification core is based on SVM and some modifications are made to include the characteristics of signatures. As shown in experimental results, the minimum error rate was 1.84% in the SVM based method, which can easily defeat 4.38% error rate with the previous parametric approach. Even more, 2.43% error rate was achieved with the features excluding pressure-related features, better than the previous approach including pressure-related features and only about 0.6% more error than the best result, which means that the proposed algorithm can be applied to a smart device with or without pressure-sensing-stylus pens and used for security purposes.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.518-519
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• 2014

The smartphone of pen input device makes a stage appearance by the development of the latest technology. Such smartphone chooses both touch method using hand and pen input device simultaneously. This research try to conduct usability evaluation in order to find the user's preference between pen input and touch input method. We recruit five novices and five expert for it. We presented all participants the task of touch input and pen input in series. This research conducts the unstructured interview after doing tasks as a pilot study. As a result, we found that it was influenced according to the feature of the task. However, most of the participants prefer to do touch method overall. Specially the result of this research reveals that the novice group prefers the pen input method. We expect to suggest the design guideline for product development to extend pen input method in smartphone.

• Journal of Korea Multimedia Society
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• v.15 no.7
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• pp.870-878
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• 2012

Recently, very rapid development of computer and sensor technologies induces various kinds of user interface (UI) technologies based on user experience (UX). In this study, we investigate and develop a smart touch projector system technology on the basis of IR sensor and image processing. In the proposed system, a user can control computer by understanding the control events based on gesture of IR pen as an input device. In the IR image, we extract the movement (or gesture) of the devised pen and track it for recognizing gesture pattern. Also, to correct the error between the coordinate of input image sensor and display device (projector), we propose a coordinate correction algorithm to improve the accuracy of operation. Through this system technology as the next generation human-computer interaction, we can control the events of the equipped computer on the projected image screen without manipulating the computer directly.