• Journal of Korea Society of Industrial Information Systems
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• v.17 no.5
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• pp.43-51
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• 2012

Smart phones provide variety of functions like world processing, chatting, web browsing, etc. for users. Therefore, efficiency of the keypad that are used in text entry are becoming more important. But, in traditional english mobile keypad, text entry speed is not efficient because simple placement of characters in accordance with the order of characters. In this paper, we propose the improved english keypad for smart phone using the frequency information of english characters and bigram. And, we verified that the proposed keypad is more efficient than other keypads through the experiment.

• Journal of Korea Multimedia Society
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• v.18 no.11
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• pp.1383-1390
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• 2015

By according to the development of the mobile devices, a touch screen provides the variety of inputting character and the flexibility of user interface. Currently, the physically simple touch method is widely used for English input but this simple touch is not increasing the variety of inputs and flexibility of the user interfaces. In this paper, we propose a new method to input English characters continuously by recognizing gestures instead of the simple touches. The proposed method places the rotational pickers on the screen for changing the alphabetical sequence instead of the keys and inputs English characters through the flick gestures and the touches. Simulation results show that the proposed keypad method has better performance than the keypad of the conventional methods.

• Journal of information and communication convergence engineering
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• v.8 no.3
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• pp.328-332
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• 2010

Filipino language is an Austronesian language based on numerous native languages with influences from other major languages such as English and Spanish. The Filipino alphabet is consists of 26 English alphabets, with the addition of two letters, "$\tilde{n}$" and "ng", a total of 28 letters. Filipino language expressions and sentences are still incomparable to English and Spanish even though there are numerous borrowed words from these languages. This study aims to discover the uniqueness in the Filipino language by identifying the frequencies of the letters in common words used and be able to introduce a revolutionary keypad for the Filipinos which is scientifically efficient. To compare the efficiency of the revised and the original keypad, computations using Fitts' Law, Hick-Hyman Law and KSPC were done. Results showed that the new keypad layout was more effective than the original keypad. Introducing a improvised keypad to the Filipinos is one step closer in achieving customized services and features to Filipinos in mobile computing.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.6
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• pp.814-820
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• 2009

The arrangement of the general 12-button cellular phone keypad is unified with one or two kind. In general, the several alphabets are arranged in one key. When inputting an English, countries which do not speak English use multi-tap method. We can input next alphabet by pressing key repeatedly. We address the problem of finding multi-tap-based keypad designs which minimize the number of key presses for various case. Genetic algorithms is proposed method for optimal keypad designs. We are to maintain the number of keys, which is ranged from 8 to 12. We also show experimental using non-alphabetically-constrained and alphabetically-constrained arrangement, respectively. Finally, we give improved keypad designs.

• Journal of the Korea Computer Graphics Society
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• v.27 no.5
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• pp.81-89
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• 2021

This study proposes a text interface for support of language-based educational contents in a mobile platform environment. The proposed interface utilizes deep learning as an input structure to write words through handwriting. Based on GUI (Graphical User Interface) using buttons and menus of mobile platform contents and input methods such as screen touch, click, and drag, we design a text interface that can directly input and process handwriting from the user. It uses the EMNIST (Extended Modified National Institute of Standards and Technology database) dataset and a trained CNN (Convolutional Neural Network) to classify and combine alphabetic texts to complete words. Finally, we conduct experiments to analyze the learning support effect of the interface proposed by directly producing English word education contents and to compare satisfaction. We compared the ability to learn English words presented by users who have experienced the existing keypad-type interface and the proposed handwriting-based text interface in the same educational environment, and we analyzed the overall satisfaction in the process of writing words by manipulating the interface.

• Journal of KIISE:Software and Applications
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• v.37 no.10
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• pp.788-801
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• 2010

Advancing of mobile device is remarkable, so the research on mobile input device is getting more important issue. There are lots of input devices such as keypad, QWERTY keypad, touch and speech recognizer, but they are not as convenient as typical keyboard-based desktop input devices so input strings usually contain many typing errors. These input errors are not trouble with communication among person, but it has very critical problem with searching in database, such as dictionary and address book, we can not obtain correct results. Especially, Hangeul has more than 10,000 different characters because one Hangeul character is made by combination of consonants and vowels, frequency of error is higher than English. Generally, suffix tree is the most widely used data structure to deal with errors of query, but it is not enough for variety errors. In this paper, we propose fast approximate Korean word searching system, which allows variety typing errors. This system includes several algorithms for applying general approximate string searching to Hangeul. And we present profanity filters by using proposed system. This system filters over than 90% of coined profanities.