• The Journal of the Korea Contents Association
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• v.10 no.9
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• pp.1-8
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• 2010

In this paper, we propose a large scale entertainment system based on gesture recognition for learning Chinese character contents. The system is consisted of parts that forecast user's posture in two infrared images and part that recognize gestures from continuous poses. And we can divide and acquire in front side pose and side pose about one pose in each IR camera. This entertainment system is immersive in nature and convenient for its gestures based controlling system. Also, it can maximize information transmission because induce immersion and interest using two large size displays and various multimedia elements. The learning Chinese character contents can master Chinese character naturally because give interest to user and supply game and education at the same time. Therefore, it can expect synergy effect that can learn playing to user combining with large entertainment system based on gesture recognition.

• Cross-Cultural Studies
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• v.35
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• pp.339-368
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• 2014

In Teaching Chinese as a Foreign Language, phoneme-based pronunciation teaching such as tone, consonants, vowels is the most common teaching methods. Based on main character of Chinese grammar: 'lack of morphological change' in a narrow sense, was proposed by Lv Shuxiang and Zhu Dexi, I designed 'Communicative oriented Chinese pronunciation teaching method'. This teaching method is composed of seven elements: one kind is the 'structural elements': phoneme, word, phrase, sentence; another kind is the 'functional elements': listening, speaking and translation. This pronunciation teaching method has four kinds of practice methods: 1) phoneme learning method; 2) word based pronunciation practice; 3) phrase based pronunciation practice; 4) sentence based pronunciation practice. When the teachers use these practice methods, they can use the dialogue and Korean-Chinese translation. In particular, when the teachers use 'phoneme learning method', they must use Korean and Chinese phonetic comparison results. When the teachers try to correct learner's errors, they must first consider the speech communication.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.17-23
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• 2016

I think it is valuable to make Chinese ancient character 'Inscriptions on Bones and Tortoise Carapaces' hieroglyphics popular by combining with the digital. Because Chinese characters are ideograms, it has a huge visual effect. When it is thought over meanings with imaged data by using digital technology, it can be easier to conflate Chinese academia and humanities academia, moreover other academia that uses Chinese characters such as jurisprudence or business administration. I believe not only union of humanities and natural science in the global era can be the best example of the word 'consilience', which I mentioned before, but also people enjoy usability from educations, invention of learning contents or open learning to a cultural field by coming into wide use. Futhermore, it should contribute to changing the image of Chinese characteristics from existing difficult stereotype to positive image.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.12
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• pp.894-906
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• 2006

There are many difficulties to develop a mobile contents due to many constraints on mobile environments. It is difficult to make a good mobile contents with only visual reduction of existing contents on wire Internet. Therefore, it is essential to devise the data representation and to develop the authoring tool to meet the needs of the mobile contents market. We suggest the compact mobile contents to learn Chinese characters and developed its authoring tool. The animation which our system produces is realistic as if someone writes letters with pen or brush. Moreover, our authoring tool makes a user generate a Chinese character animation easily and rapidly although she or he has not many knowledge in computer graphics, mobile programming or Chinese characters. The method to generate the stroke animation is following: We take basic character shape information represented with several contours from TTF(TrueType Font) and get the information for the stroke segmentation and stroke ordering from simple user input. And then, we decompose whole character shape into some strokes by using polygonal approximation technique. Next, the stroke animation for each stroke is automatically generated by the scan line algorithm ordered by the stroke direction. Finally, the ordered scan lines are compressed into some integers by reducing coordinate redundancy As a result, the stroke animation of our system is even smaller than GIF animation. Our method can be extended to rendering and animation of Hangul or general 2D shape based on vector graphics. We have the plan to find the method to automate the stroke segmentation and ordering without user input.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.29B no.2
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• pp.50-59
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• 1992

In the most studies of Korean character recognition so far, they first classify the characters to 6 types according to their structures and then recognize the characters by identifying their basic components named $'$jaso.$'$ In the study, we propose a method which recognizes the characters without using structure types and is applied to reading documents containing both Korean and Chinese characters. We first classify Korean and Chinese characters by using a modified SOFM model. Then we recognize the characters in each class by using an APC neural network which has the advantage of fast leaning speed and the capablity of additive learning. An experimental result demonstrated the usefulness of the approach with the recognition rate of $\%.$\%.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.6
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• pp.1833-1848
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• 2022

Named entity recognition (NER) is an important basic task in the field of Natural Language Processing (NLP). Recently deep learning approaches by extracting word segmentation or character features have been proved to be effective for Chinese Named Entity Recognition (CNER). However, since this method of extracting features only focuses on extracting some of the features, it lacks textual information mining from multiple perspectives and dimensions, resulting in the model not being able to fully capture semantic features. To tackle this problem, we propose a novel Multi-view Semantic Feature Fusion Model (MSFM). The proposed model mainly consists of two core components, that is, Multi-view Semantic Feature Fusion Embedding Module (MFEM) and Multi-head Self-Attention Mechanism Module (MSAM). Specifically, the MFEM extracts character features, word boundary features, radical features, and pinyin features of Chinese characters. The acquired font shape, font sound, and font meaning features are fused to enhance the semantic information of Chinese characters with different granularities. Moreover, the MSAM is used to capture the dependencies between characters in a multi-dimensional subspace to better understand the semantic features of the context. Extensive experimental results on four benchmark datasets show that our method improves the overall performance of the CNER model.

• Journal of Korea Multimedia Society
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• v.15 no.8
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• pp.1067-1074
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• 2012

In this paper, we proposed a contents of Chinese characters learning based on gesture recognition using HMM(hidden markov model) algorithm. Input image of the system is obtained in 3-dimensional information from the TOF camera, and the method of gesture recognition is consisted of part of forecasting user's posture in two infrared images and part of recognizing gestures from continuous poses. In the communication between human and computer, this system provided convenience that user can manipulate it easily by not using any further equipment but action. Because this system raise immersion and interest by using two large display and various multimedia factor, it can maximize information transmission. The edutainment Chinese character contents proposed in this paper provide educational effect that use can master Chinese character naturally with interest, and it can be expected a synergy effect via content experience because it is based on gesture recognition.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.1
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• pp.70-76
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• 2010

In this paper, we propose a personalized Chinese character education system using RankBoost algorithm on a smartphone. In a typical Chinese character education scenario, a trainee is supplied with a finite number of Chinese characters as an input set in the beginning. And, as the training session repeats, the trainee will notice her/his difficult characters in the set which she/he hardly answers. Those characters reflect their personalized degrees of difficulty. Our proposed system constructs these personalized degrees of difficulty using RankBoost algorithm. In the beginning, the algorithm start with the set of Chinese characters, of which each is associated with the same weight values. As the training sessions are repeated, the algorithm increase the weights of Chinese characters that the trainee mistakes, thereby eventually constructs the personalized difficulty degrees of Chinese characters. The proposed algorithm maximizes the educational effects by having the trainee exposed to difficult characters more than easy ones.

• Journal of Korean Medical classics
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• v.25 no.2
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• pp.95-105
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• 2012

Objective : This study was conducted to examine the scope and learning objective of Medical classics in the field of the education of Korean Medicine. Method : This study was analyzed and figured out list of classes which was taken by department of medical classics in eleven College of Korean Medicine and one school of Korean Medicine. Results & Conclusions : 1. Now, 14 subjects out of 16 subjects which were taken by whole department of medical classics in Korea can be a proper area of education of medical classics. Now, Hwangjenaekyung and Nangyeong are the only aim of the lessons at the medical classics. Therefore, we present to modify the aims inclusively. 2. The subject of the class have to change as follows. 'Wonjeon' changes into 'Hwangjenaekyung', 'Medical Chinese character' changes into 'Korean medical chinese character', 'medical informatics' changes into 'korean medical informatics'. 3. As we consider the condition that 'Nangyeong' is educating in just four departments of medical classics, we have to discuss about the stature of Nangyeong and to extend education of Nangyeong. 4. In the department of medical classics, we can improve the level of understanding and reading skills by educating the class of 'Sanghanron' and 'Donguibogam'. 5. This study is actively involved in trying to include 'Korean Medical Informatics' and 'Korean medical terminology ' in the education field of the medical classics.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.11b
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• pp.888-892
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• 2003

현대에 많은 사람들이 인터넷을 활용하게 됨으로써 웹으로 학습하는 수가 늘어나고 있다. 따라서 웹을 이용한 원격강의 학습방법이 늘어나고 있다. 이미 영어와 같은 외국어 학습의 경우는 활발히 진행되고 있다. 본 연구에서는 웹을 이용한 한자학습을 Edutainment식 방법을 활용하여 학습을 하는데 있어서 즐겁게 한자학습을 할 수 있도록 함으로써 보다 효과적인 학습이 될 수 있는 방법을 제안하였다. 또한 이러한 방법이 실제 효과가 있는지에 대해 이미 한자를 많이 사용하고 있는 일본의 한 site와 우리나라에서 실행되고 있는 한자학습 site에 있는 한자학습 방법을 설문하여 비교ㆍ평가 하였다.