• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.6
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• pp.89-98
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• 2005

Fingerprint segmentation and ridge orientation estimation algorithms with images from a mobile camera are proposed. The fingerprint images from a mobile camera are quite different from those from conventional sensor, called touch based sensor such as optical, capacitive, and thermal. For example, the images from a mobile camera are colored and the backgrounds or non-finger regions are very erratic depending on how the image capture time and place. Also the contrast between ridge and valley of a mobile camera image are lower than that of touch based sensor image. To segment fingerprint region, we first detect the initial region using color information and texture information. The LUT (Look Up Table) is used to model the color distribution of fingerprint images using manually segmented images and frequency information is extracted to discriminate between in focused fingerprint regions and out of focused background regions. With the detected initial region, the region growing algerian is executed to segment final fingerprint region. In fingerprint orientation estimation, the problem of gradient based method is very sensitive to outlier that occurred by scar and camera noise. To solve this problem, we propose a robust regression method that removes the outlier iteratively and effectively. In the experiments, we evaluated the result of the proposed fingerprint segmentation algerian using 600 manually segmented images and compared the orientation algorithms in terms of recognition accuracy.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.10B
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• pp.883-890
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• 2006

The study of sensor network database is beginning to liven up as we are interested in Ubiquitous Computing technology in hardware, communication, database and so on. Especially, as new smart sensors have capabilities of real-time information gathering and analysis of each sensor node, data processing becomes an important issue in Ubiquitous Computing. In thesis, we have applied TinyDB(query processing system) to carry sensor node with line tracer which can follow the fixed path. After we gathered data around path, we have processed data in TinyDB GUI, gathered data, displayed data on a web server. Also we have a web browser on an embedded board for convenient user interface and implemented touch screen such that users can operate with a finger.

• IEMEK Journal of Embedded Systems and Applications
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• v.14 no.6
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• pp.295-311
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• 2019

The smart product market is growing year by year and is being used in many areas. There are various ways of interacting with smart products and users by inputting voice recognition, touch and finger movements. It is most important to detect an accurate hand region as a whole step to recognize hand movement. In this paper, we propose a method to detect accurate hand region in real time in various environments. A conventional method of detecting a hand region includes a method using depth information of a multi-sensor camera, a method of detecting a hand through machine learning, and a method of detecting a hand region using a color model. Among these methods, a method using a multi-sensor camera or a method using a machine learning requires a large amount of calculation and a high-performance PC is essential. Many computations are not suitable for embedded systems, and high-end PCs increase or decrease the price of smart products. The algorithm proposed in this paper detects the hand region using the color model, corrects the problems of the existing hand detection algorithm, and detects the accurate hand region based on various experimental environments.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.7
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• pp.230-238
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• 2014

In this paper, we propose the possible way of accurate analysis and examination of ITO sensor to discriminate whether mutual capacitance ITO sensor is defective by using mutual capacitance of data in each node which consists of electrodes inside of ITO sensor. We have analyzed the structure characteristic of mutual capacitance ITO sensor which is used as an input device for not only small size electronics like mobile phone and tablets but also big size electronics and designed the circuit to inspect ITO sensor using touch screen panel IC. Set a variable related with mutual capacitance of charge and discharge and Implement to find and analyze accurate position when defect is made through the data from each node of ITO sensor. First, we can set a yield effective range through the first experiment data of mutual capacitance ITO sensor and by using the data of each node of ITO sensor which is the result from the second experiment, we can verify accuracy and effectiveness of effective range from the first experiment as a sample which is used in this experiment.

• Journal of Korea Multimedia Society
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• v.19 no.10
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• pp.1767-1774
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• 2016

In this paper, we propose the adaptation filtering for correcting the movement path of the recognized object by the depth information. When we recognize the object by the depth information, the path error should be occurred because of the noises in the depth information. The path error is corrected by appling the lowpass filtering, but the lowpass filtering is not efficient when the changes of the object's movement are rapid. In this paper, we apply the adaptation filtering that it gives weights adaptively as the difference between the predicted location and the measured location. To apply the adaptation filtering, we can see that the proposed method can correct accurately the path error of the radical change from simulation results.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2009.06a
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• pp.24-24
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• 2009

투명전극 (TCO Transparent Conductive Oxide)은 Solar cell, Touch panel, Sensor 등 많은 분야에 이용되어지고 있다. ZnO 그리고 $SnO_2$는 ITO룰 대체하기 위하여 오래전부터 연구가 되어지고 있다. 하지만 ZnO가 가지고 있는 많은 장점에도 불구하고 ITO를 대체하기 위한 전기적 특성이 충분하지 않다. 따라서 ZnO에 Al를 도핑하는 등 다양한 연구가 진행되어왔다. 본 실험은 우수한 광학특성 및 전기적 (10-5) 특성을 확보하기 위하여 AZO/Ag/AZO 다층박막구조 형성하였다. 또한 염료감응 태양전지에 적용하기 위하여 다층박막구조를 이용한 안정성 테스트를 진행하였다.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.3
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• pp.169-177
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• 2010

As expectations about success of smart phones that install Android, an open mobile platform which was developed by Google, are increasing, the development of applications based on the Android has attracted a lot of interest. Especially, game applications have been well received by users. In this paper, we develop an application based on the Android for curling which was adopted as a competitive sport in the Winter Olympic Games. Curling is a sport game played by two teams. The rules of the game are simple, but it is an intelligent one that requires various strategies for victory. In this paper, the curling game based on the Android provides functions, such as pitching, sweeping, collision, and foul handling, that are required in real curling game by using technologies, such as touch screen or accelerometer sensor.

• Journal of the Korean Society for Precision Engineering
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• v.17 no.4
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• pp.129-134
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• 2000

This paper presents the development of ultra-precision machining process of large aspheric aluminum mirrors with a maximum diameter of 620 mm. An ultra-precision machine, "Nanoturn60", developed by Daewoo Heavy Industries Ltd. is used for machining and motion errors of the machine are compensated by using the FTS developed by IAE(Institue for Advanced Engineering) during the machining process. To check the form accuracy of machined aspheric surfaces, on-machine form measurement system is developed. This measurement system consists of air bearing touch probe, straight edge, and laser sensor. With in-process error compensation by FTS(Fast Tool Servo), aspheric mirrors with the from accuracy of submicron order are obtained. obtained.

• Journal of Information Processing Systems
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• v.14 no.2
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• pp.523-538
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• 2018

Keystroke dynamics user authentication is a behavior-based authentication method which analyzes patterns in how a user enters passwords and PINs to authenticate the user. Even if a password or PIN is revealed to another user, it analyzes the input pattern to authenticate the user; hence, it can compensate for the drawbacks of knowledge-based (what you know) authentication. However, users' input patterns are not always fixed, and each user's touch method is different. Therefore, there are limitations to extracting the same features for all users to create a user's pattern and perform authentication. In this study, we perform experiments to examine the changes in user authentication performance when using feature vectors customized for each user versus using all features. User customized features show a mean improvement of over 6% in error equal rate, as compared to when all features are used.

• Electronics and Telecommunications Trends
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• v.29 no.6
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• pp.31-42
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• 2014

2007년 애플의 아이폰 출시 이후에 본격적으로 터치센서 시장이 성장하면서, 최근에는 스마트폰 뿐만 아니라 태블릿 PC, 노트북 PC, AIO(All-in-One)-PC 및 DID(Digital Information Display) 등 각종 디스플레이 제품으로 응용이 확대되고 있다. 터치패널 시장은 장기적으로 이러한 IT 제품을 넘어 자동차 시장과 같은 타 분야로 확대될 잠재력이 높다. 터치센서 기술은 슬림화, 경량화, 다기능화 등을 지향하는 고기능화 전략과 시장지배력을 확보하기 위한 저가격화 전략이 상충되면서 단일 전극층 터치센서, 플랙시블 터치센서, 내장형 터치센서, 대면적 터치센서, 지문인식 및 디지타이저 등이 내재화된 다기능 융/복합 터치센서의 개발이 촉진될 것으로 예측된다. 본고에서는 이러한 터치센서 기술동향과 산업동향을 기술하고자 한다.