• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.493-495
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• 2005

제한된 휴대폰 자판에서 효율적인 한글 입력을 위한 방법으로서 본 논문에서는 고정적인 한글 자소의 버튼 배치를 하지 않고, 사용자가 입력하는 한글의 상태에 따라 동적으로 변하는 S/W 자판을 제안한다. 이와 동시에 방향키와 숫자키의 동시 사용 가능한 입력 방식을 제안함으로써 기존의 휴대폰 한글 입력 방식이 가지는 다양한 문제점을 해결하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06b
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• pp.153-156
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• 2010

휴대폰으로 영문을 입력하기 위해서는 일반적으로 멀티탭 (multitap) 방식을 사용한다. 멀티탭 방식은 원하는 알파벳을 입력하기 위해 키를 반복적으로 눌러줘야 한다. 본 논문은 키를 누르는 횟수를 줄일 수 있는 효율적인 키패드를 구한다. 기존의 멀티탭 기반의 휴대폰 키패드 설계와 자동 띄어쓰기 관련 연구를 조사한다. 그리고 자동 띄어쓰기 사용을 가정한 상태에서의 휴대폰 키패드를 설계하고 이를 비교한다. 키가 눌러진 총 횟수가 작을수록 효율적인 키패드인 것으로 평가했다. 알파벳 순서를 유지한 키패드 디자인과 유지하지 않은 디자인으로 나누고 8 ~ 12개의 키를 가지는 키패드에 대한 디자인을 각각 구했다. 평가를 위한 데이터로 실제 사용되는 영문 SMS 데이터를 구해 사용했다. 실험 결과 자동 띄어쓰기를 하지 않은 키패드보다 자동 띄어쓰기를 한 키패드의 성능이 약간 개선됨을 볼 수 있다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.2
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• pp.157-162
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• 2006

In this paper, power supply for ozone generating system is explained. Output voltage and frequency are controlled by phase displacement control of single phase inverter using ATmega128. The values of desired output voltage and frequency set using keypad and displayed using LCD. Actually, power supply is designed and manufactured. Through the experiments, the performance of output voltage and frequency control is verified.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1764-1766
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• 2012

현재 스마트폰의 급격한 대중화가 이루어짐에 따라, 터치스크린에서 한글을 효율적으로 입력하는 방법의 연구가 활발히 진행되고 있다. 하지만, 많은 터치스크린 한글 키패드가 만들어졌음에도 불구하고, 사용자가 습득하는데 시간이 오래 걸리며 오타가 빈번하게 나타나고 있다. 따라서 본 논문에서는 한글 키패드의 표준인 '천지인'의 장점인 사용자 습득율을 최대화하고, 단점인 자음의 멀티탭(반복누름)방식으로 인한 오타발생 빈도율을 스마트폰의 터치 슬라이드방식을 이용하여 최소화한 SC-Keyboard를 제안하고자 한다.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.30-37
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• 2021

Touch sensor interface has become the most useful input device in a smartphone. Unlike keypad/keyboard interfaces used in electronic dictionaries and feature phones, smartphone's touch interfaces allow for the recognition of various gestures that represent distinct features of each application's input. In this paper, we analyze application-specific input patterns that appear in smartphone's touch interfaces. Specifically, we capture touch input patterns from various Android applications, and analyze them. Based on this analysis, we observe a certain unique characteristics of application's touch input patterns. This can be utilized in various useful areas like user authentications, prevention of executing application by illegal users, or digital forensic based on logged touch patterns.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.659-662
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• 2004

이동통신용 전화기의 숫자 자판에서 다수의 한글 자소가 한 개의 키에 할당되기 때문에 한글 입력에 많은 번거로움이 따른다. 본 논문에서는 이러한 번거로움을 최소화 하기위해서 모든 단자음과 단모음이 키에 모두 표시되도록 설계한 분산형 한글 자판 배열과 글자를 구성하는 자소를 필기순서에 따라 해당키를 한번씩만 눌러서 입력할 수 있도록 하는 사용자 중심의 새로운 한글 입력 방식을 제안한다. 다양한 실험을 통해서 제안된 방법이 기존의 방식들에 비해서 키누름 동작에 따르는 입력 효율이 높은 것을 확인했다.

• Journal of Korea Multimedia Society
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• v.25 no.7
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• pp.932-944
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• 2022

Smartphones, are currently equipped with high-performance hardware to process large amounts of data and provide most of the functions provided by desktop PCs. In addition, the smartphones enable quick user authentication through biometric information collected from embedded sensors. However, the biometric authentication method is sometimes rejected due to social and cultural environment, security vulnerabilities, and misrecognition rate. Thus, conventional authentication methods such as PIN and pattern authentication are still mainly used. Consider the latest foldable and bendable smartphones. These devices may be vulnerable to social engineering attacks as they use conventional authentication methods without considering their form factors. In this study, therefore, we propose an authentication method using partial elements of PIN and pattern authentication as a way to increase the security of the conventional authentication methods and consider the recent form factors. According to the performance evaluation results, our method provides improved safety compared to the conventional methods.

• Science of Emotion and Sensibility
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• v.11 no.4
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• pp.575-588
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• 2008

This study is to inquire respective patterns of mental models caused by wrongful usages which can be experienced when a user who is used to a keypad-based mobile phone starts using a touch screen mobile phone and to find out the features of the user's logical process of correcting such wrongful usages to a new mental model. In addition, design improvement to be considered for easy generation of the mental model regarding touch screen mobile phones was reviewed in this study. We set up test subjects for the most frequently used seven high priority functions among touch screen phone functions and carried out the subject assessment together with interview surveys after the video observation experiment. Our test results show that test subjects who were used to keypad-based mobile phones tend to use operation knowledge related to the computer operational system(Window) or the web browse, navigation including Tap or Double Tap in order to correct the mental model when a wrongful usage is made. In addition, the result of comparison and analysis of the subject assessment and the video observation experiment data shows that wrongful usages of touch screen mobile phones mostly occurred in the field of 'information feedback' and 'navigation' among mobile phone components.

• 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.

• Journal of KIISE:Software and Applications
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• v.35 no.12
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• pp.780-788
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• 2008

Modeling hand poses and tracking its movement are one of the challenging problems in computer vision. There are two typical approaches for the reconstruction of hand poses in 3D, depending on the number of cameras from which images are captured. One is to capture images from multiple cameras or a stereo camera. The other is to capture images from a single camera. The former approach is relatively limited, because of the environmental constraints for setting up multiple cameras. In this paper we propose a method of reconstructing 3D hand poses from a 2D input image sequence captured from a single camera by means of Belief Propagation in a graphical model and recognizing a finger clicking motion using a hidden Markov model. We define a graphical model with hidden nodes representing joints of a hand, and observable nodes with the features extracted from a 2D input image sequence. To track hand poses in 3D, we use a Belief Propagation algorithm, which provides a robust and unified framework for inference in a graphical model. From the estimated 3D hand pose we extract the information for each finger's motion, which is then fed into a hidden Markov model. To recognize natural finger actions, we consider the movements of all the fingers to recognize a single finger's action. We applied the proposed method to a virtual keypad system and the result showed a high recognition rate of 94.66% with 300 test data.