• English Language & Literature Teaching
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• v.16 no.1
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• pp.233-257
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• 2009

The purpose of the present study was to examine the effect of 3D avatar-based Virtual Reality chatting on college students' English learning achievement. Forty college sophomore students participated at this study and the research lesson continued for 8 weeks. They were administered to take a pretest to evaluate their vocabulary knowledge and writing skills. Their progress was assessed on the basis of midterm. Finally, a post-questionnaire was administered to measure their interest and understanding toward their learning experience in 3D avatar-based Virtual chatting. The results of this study indicated that there was a statistically significant difference between the control group and experimental group with respect to their midterm scores and writing. The result of the post-survey indicated the interest of English was statistically higher than the understanding of English.

• ETRI Journal
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• v.46 no.2
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• pp.250-262
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• 2024

Air-writing recognition is relevant in areas such as natural human-computer interaction, augmented reality, and virtual reality. A trajectory is the most natural way to represent air writing. We analyze the recognition accuracy of words written in air considering five features, namely, writing direction, curvature, trajectory, orthocenter, and ellipsoid, as well as different parameters of a hidden Markov model classifier. Experiments were performed on two representative datasets, whose sample trajectories were collected using a Leap Motion Controller from a fingertip performing air writing. Dataset D₁ contains 840 English words from 21 classes, and dataset D₂ contains 1600 English words from 40 classes. A genetic algorithm was combined with a hidden Markov model classifier to obtain the best subset of features. Combination ftrajectory, orthocenter, writing direction, curvatureg provided the best feature set, achieving recognition accuracies on datasets D₁ and D₂ of 98.81% and 83.58%, respectively.

• Journal of Platform Technology
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• v.6 no.1
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• pp.3-8
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• 2018

This paper proposes a technique for recognizing online handwritten cursive data obtained by tracing a motion trajectory while a user is in the 3D space based on a convolution neural network (CNN) algorithm. There is a difficulty in recognizing the virtual character input by the user in the 3D space because it includes both the character stroke and the movement stroke. In this paper, we divide syllable into consonant and vowel units by using labeling technique in addition to the result of localizing letter stroke and movement stroke in the previous study. The coordinate information of the separated consonants and vowels are converted into image data, and Korean handwriting recognition was performed using a convolutional neural network. After learning the neural network using 1,680 syllables written by five hand writers, the accuracy is calculated by using the new hand writers who did not participate in the writing of training data. The accuracy of phoneme-based recognition is 98.9% based on convolutional neural network. The proposed method has the advantage of drastically reducing learning data compared to syllable-based learning.

• Journal of Korea Multimedia Society
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• v.23 no.5
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• pp.700-709
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• 2020

With the development of virtual reality (VR)-related technology and the advent of the 5G era, VR-based streaming games or content have been developed and transmitted at high speed. Although VR technology is also being applied in education, health care, manufacturing, and production fields, its main application is for entertainment. VR technology has been developed based on hardware and various contents have been developed accordingly; however, the number of VR content with high entertainment value is insufficient, and there are primarily hands-on contents. In this paper, we propose a method for developing an writing tool that can enhance the productivity in the development and editing of VR content and create VR contents based on a timeline by reflecting the storytelling rather than by a simple empirical type to solve the bias in content style. The proposed VR content writing tool is expected to increase the productivity in VR content development and contribute to the creation of various styles of content. Its implementation can enable developers to create specific stories in a timeline and support several animation effects.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.552-557
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• 2008

'Digilog Book' dealing with the combination of each advantage of analog sensibility on texts and digital sensation on virtual reality is one of the noble applications of U-book. Based on contents from books, enhancing 3D immersive display enable readers to enjoy various experiences with multisensory feedback provided. Also, 'Digilog Book' provides digitally created stories that would project different experiences and environments interacting users' choices on the interface of the book. This study focuses on developing users friendly implementation tools providing more interaction between digitally generated stories and digitally generated interface so that interaction between virtual reality and actual realty is expanded through simulating contexts and extents. From the application scenario 'Digilog Book' would perform as a storytelling tool with developing subordinated elements such as context structure, screen structure, definition of writing function, writing interface, writing system structure, etc. Therefore, this study would become a significance to direct and indicate the development of writing techniques on virtual reality back to life through digitally augmented reality.

• Journal of Korea Multimedia Society
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• v.21 no.9
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• pp.1119-1130
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• 2018

Writing letters or patterns on a virtual space by moving a person's gaze is called "eye writing," which is a promising tool for various human-computer interface applications. This paper investigates the use of conventional eye writing recognition algorithms for the purpose of user-independent recognition of eye-written characters. Two algorithms are presented to build the user-independent system: eye-written region extraction using wavelet coefficients and template generation. The experimental results of the proposed system demonstrated that with dynamic positional warping, an F1 score of 79.61% was achieved for 12 eye-written patterns, thereby indicating the possibility of user-independent use of eye writing.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.3
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• pp.97-116
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• 2018

Individuals depend considerably on gathering information from personal social networks rather than from commercial network channels or the mass media. Most academic journals that have examined this topic concentrate on online users' information-searching behaviours; however, this paper discusses online users' information-providing behaviour in the online community. The aim of this study is to investigate that online users' motivation to write reviews on Facebook and how the motivations affect users' information-providing behaviour. This study focusses on Facebook members' motivations that affect their review-writing behaviour. The fundamental theory for examining this topic is Vogt and Fesenmaier's (1998) 'information need'. This study modifies Vogt and Fesenmaier's (1998) theory for virtual communities through the development of each concept's measurement items, selecting the information need of four variables: functional, hedonic, innovation, and sign need. Among the four variables, sign need is the most important factor for Facebook users in the virtual environment. Through sign need, people indicate their status, personality form, and position, which significantly affects members' review-writing behaviour on Facebook.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.53-60
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• 2018

This paper describes the experiments of gaze tracking utilizing a low-cost electrooculogram measuring device. The goal of the experiments is to verify whether the low-cost device can be used for a complicated human-computer interaction tool, such as the eye-writing. Two experiments are conducted for this goal: a simple gaze tracking of four directional eye-movements, and eye-writing-which is to draw letters or shapes in a virtual space. Eye-written alphabets were obtained by two PSL-iEOGs and an Arduino Uno; they were classified by dynamic positional warping after preprocessed by a wavelet function. The results show that the expected recognition accuracy of the four-directional recognition is close to 90% when noises are controlled, and the similar median accuracy (90.00%) was achieved for the eye-writing when the number of writing patterns are limited to five. In future works, additional algorithms for stabilizing the signal need to be developed.

• Journal of the Korea Computer Graphics Society
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• v.24 no.3
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• pp.101-109
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• 2018

Recently, the improvement of virtual reality and augmented reality technologies leverages many new technologies like the virtual study room, virtual architecture room. Such virtual worlds require free handed drawing technology such as writing descriptions of formula or drawing blue print of buildings. In nature, lots of view point modifications occur when we walk around inside the virtual world. Especially, we often look some objects from near to far distance in the virtual world. Traditional drawing methods like using fixed size image for drawing unit is not produce acceptable result because they generate blurred and jaggy result as view distance varying. We propose a novel method which robust to the environment that produce lots of magnifications and minimizations like the virtual reality world. We implemented our algorithm both two dimensional and three dimensional devices. Our algorithm does not produce any artifacts, jaggy or blurred result regardless of scaling factor.

• Journal of the Korea Society of Computer and Information
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• v.13 no.5
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• pp.11-18
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• 2008

One of important Issues in computer graphics field is to communicate among users in virtual world like secondlife. However, in 3D virtual world, users' needs to wish to build their own contents in 3D virtual space are rising, similarly, users produce own homepage and animation, and leave writing in notice board. In this paper, we tried to achieve this by introducing semantic annotation object concept, which is a kind of annotation method in 3D virtual world. User can retrieve an 3D object by searching corresponding annotation data. This method can build semantic 3D virtual world and enable users to search 3D objects by integrating 3D object and 2D semantic multimedia information. Also, through a comparison experiment with proposal system and general 3D virtual world. the performance of proposed system is evaluated.