• Title/Summary/Keyword: Computer Input Device

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A Improved Scene based Non-uniformity Correction Algorithm for Infrared Camera

  • Hyun, Ho-Jin;Choi, Byung-In
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.1
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    • pp.67-74
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    • 2018
  • In this paper, we propose an efficient scene based non-uniformity correction algorithm which performs the offset correction using the uniform obtained from input scenes for Infrared camera. In general, pixel outputs of a infrared detector can not be uniform. Therefore, the non-uniformity correction procedure need to be performed to make the image outputs uniform. A typical non-uniformity correction method uses a black body at the laboratory to obtain the output of the infrared detector's pixels for two temperatures, HOT and COLD, and calculates the non-uniformity correction parameters. However, output characteristics of the Infrared detector changes while the Infrared camera is operated, the fixed pattern noise of the Infrared detector and dead pixels are generated. To remove the noise, the offset correction is generally performed. The offset correction procedure usually need the additional device such as a thermo-electric cooler, shutter, or non-uniformity correction lens. Therefore, we introduce a general scene based non-uniformity correction technique without additional equipment, and then we propose an improved non-uniformity correction algorithm based on image to solve the problem of the existing technique.

A VR-based pseudo weight algorithm using machine learning

  • Park, Sung-Jun
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.10
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    • pp.53-59
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    • 2021
  • In this paper, we propose a system that can perform dumbbell exercise by recognizing the weight of dumbbells without wearing and device. With the development of virtual reality technnology, many studies are being conducted to simulate the pysical feedback of the real world in the virtual world. Accurate motion recognition is important to the elderly for rehabilitation exercises. They cannot lift heavy dumbbells. For rehabilitation exercise, correct body movement according to an appropriate weight must be performed. We use a machine learning algorithm for the accuracy of motion data input in real time. As an experiment, we was test three types of bicep, double, shoulder exercise and verified accuracy of exercise. In addition, we made a virtual gym game to actually apply these exercise in virtual reality.

Education Method for Basic Programming Subject through Physical Computing (피지컬 컴퓨팅을 통한 기초 프로그래밍 교육 방법)

  • Hur, Kyeong;Sohn, Won-Sung
    • Journal of Practical Engineering Education
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    • v.9 no.2
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    • pp.139-148
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    • 2017
  • As the connection between objects and computers becomes easier, learning using physical computing is presented as a good alternative to solve the problems raised in programming education for beginners. In this paper, we propose a training method that can be applied to basic programming courses for beginners. To do this, we will proceed with a basic programming lecture based on the physical computing method. Currently, physical computing courses focus on various input sensor connection methods and output device control. However, the content of programming education using physical computing materials is lacking. In this paper, we proposed and tested a teaching method that is used in programming education by using low cost materials used in physical computing.

Sign Language Image Recognition System Using Artificial Neural Network

  • Kim, Hyung-Hoon;Cho, Jeong-Ran
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.2
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    • pp.193-200
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    • 2019
  • Hearing impaired people are living in a voice culture area, but due to the difficulty of communicating with normal people using sign language, many people experience discomfort in daily life and social life and various disadvantages unlike their desires. Therefore, in this paper, we study a sign language translation system for communication between a normal person and a hearing impaired person using sign language and implement a prototype system for this. Previous studies on sign language translation systems for communication between normal people and hearing impaired people using sign language are classified into two types using video image system and shape input device. However, existing sign language translation systems have some problems that they do not recognize various sign language expressions of sign language users and require special devices. In this paper, we use machine learning method of artificial neural network to recognize various sign language expressions of sign language users. By using generalized smart phone and various video equipment for sign language image recognition, we intend to improve the usability of sign language translation system.

Real-time Interactive Animation System for Low-Priced Motion Capture Sensors (저가형 모션 캡처 장비를 이용한 실시간 상호작용 애니메이션 시스템)

  • Kim, Jeongho;Kang, Daeun;Lee, Yoonsang;Kwon, Taesoo
    • Journal of the Korea Computer Graphics Society
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    • v.28 no.2
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    • pp.29-41
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    • 2022
  • In this paper, we introduce a novel real-time, interactive animation system which uses real-time motion inputs from a low-cost motion-sensing device Kinect. Our system generates interaction motions between the user character and the counterpart character in real-time. While the motion of the user character is generated mimicking the user's input motion, the other character's motion is decided to react to the user avatar's motion. During a pre-processing step, our system analyzes the reference motion data and generates mapping model in advance. At run-time, our system first generates initial poses of two characters and then modifies them so that it could provide plausible interacting behavior. Our experimental results show plausible interacting animations in that the user character performs a modified motion of user input and the counterpart character properly reacts against the user character. The proposed method will be useful for developing real-time interactive animation systems which provide a better immersive experience for users.

ARtalet for Digilog Book Authoring Tool - Authoring 3D Objects Properties (디지로그 북 저작도구 ARtalet - 3 차원 객체 속성 저작)

  • Ha, Tae-Jin;Lee, Youg-Ho;Woo, Woon-Tack
    • 한국HCI학회:학술대회논문집
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    • 2008.02a
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    • pp.314-318
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    • 2008
  • This paper is about an authoring interface for augmented/mixed reality based book, specifically authoring 3D objects properties of Digilog book. We pursue even normal users with non-professional knowledge for programming can make the Digilog book easily. An authoring interface 3D object properties includes a manipulator as an input device and 3D contents authoring parts. As an interface design metaphor, existing GUI interface, already familiar to computer users, are referenced. The manipulator generates continuous/discrete input signal are necessary for authoring interface. Contents authoring part performs selection, positioning, scaling, coloring, copy of virtual objects using the input signal of the manipulator. Also users can exploit already existing GUI interface metaphor including pointing, click, drag and drop, and copy techniques with the manipulator. Therefore we think our AR authoring system can support rapid and intuitive modification of properties of virtual objects.

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Color correction of tile color input device using the Neural Network (신경망을 이용한 칼라 입력장치의 칼라 보정)

  • Eum, Kyoung-Bae;Ahn, Chang-Sun
    • Journal of The Korean Association of Information Education
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    • v.3 no.1
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    • pp.134-142
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    • 1999
  • The demand for recognizing the color as well as the object shape is increasing to use the detailed information, because-the expense of color input/output devices become cheap. The research on the color correction should be researched for the exact color presentation and color reproduction of color input/output systems. In this paper, we researched on the color correction of color scanner. The characterization of color scanner is a two step process of gray-balancing and color transformation. The decoupling of the gray-balancing from the color transformation enables the portability of the scanner characterization. We used the least square methods for the line fitting and the Neural Network for the storage space and computation speed. The output of Neural Network is similar to the target value in three-dimensional tristimulus space. The proposed color correction method can be used for all scanners of a manufacturer's model because of the portability.

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The 4bit Cell Array Structure of PoRAM and A Sensing Method for Drive this Structure (PoRAM의 4bit 셀 어레이 구조와 이를 동작시키기 위한 센싱 기법)

  • Kim, Jung-Ha;Lee, Sang-Sun
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.44 no.6 s.360
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    • pp.8-18
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    • 2007
  • In this paper, a 4bit cell way structure of PoRAM and the sensing method to drive this structure are researched. PoRAM has a different operation from existing SRAM and DRAM. The operation is that when certain voltage is applied between top electrode and bottom electrode of PoRAM device we can classify the cell state by measuring cell current which is made by changing resistance of the cell. In the decoder selected by new-addressing method in the cell array, the row decoder is selected "High" and the column decoder is selected "Low" then certain current will flow to the bit-line. Because this current is detect, in order to make large enough current, the voltage sense amplifier is used. In this case, usually, 1-stage differential amplifier using current mirror is used. Furthermore, the detected value at the cell is current, so a diode connected NMOSFET, that is, a device resistor is used at the input port of the differential amplifier to converter current into voltage. Using this differential amplifier, we can classify the cell states, erase mode is "Low" and write mode is "High", by comparing the input value, Vin, that is a product of current value multiplied by resistor value with a reference voltage, Vref.

A Study on Controlling IPTV Interface Based on Tracking of Face and Eye Positions (얼굴 및 눈 위치 추적을 통한 IPTV 화면 인터페이스 제어에 관한 연구)

  • Lee, Won-Oh;Lee, Eui-Chul;Park, Kang-Ryoung;Lee, Hee-Kyung;Park, Min-Sik;Lee, Han-Kyu;Hong, Jin-Woo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.6B
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    • pp.930-939
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    • 2010
  • Recently, many researches for making more comfortable input device based on gaze detection have been vigorously performed in human computer interaction. However, these previous researches are difficult to be used in IPTV environment because these methods need additional wearing devices or do not work at a distance. To overcome these problems, we propose a new way of controlling IPTV interface by using a detected face and eye positions in single static camera. And although face or eyes are not detected successfully by using Adaboost algorithm, we can control IPTV interface by using motion vectors calculated by pyramidal KLT (Kanade-Lucas-Tomasi) feature tracker. These are two novelties of our research compared to previous works. This research has following advantages. Different from previous research, the proposed method can be used at a distance about 2m. Since the proposed method does not require a user to wear additional equipments, there is no limitation of face movement and it has high convenience. Experimental results showed that the proposed method could be operated at real-time speed of 15 frames per second. Wd confirmed that the previous input device could be sufficiently replaced by the proposed method.

A High Linearity Low Noise Amplifier Using Modified Cascode Structure (높은 선형성을 갖는 새로운 구조의 MMIC 저잡음 증폭기)

  • Park, Seung Pyo;Eu, Kyoung Jun;No, Seung Chang;Lee, Moon-Que
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.27 no.2
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    • pp.220-223
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    • 2016
  • This letter proposes a low noise amplifier which has low noise figure and high linearity simultaneously using a cascode structure with an additional transistor. The proposed structure minimizes the noise source by using optimizing transistor sizes and also improves linearity from the current bleeding technique. The device was fabricated in a $0.5{\mu}m$ GaAs pHEMT process and has noise figure of 1.1 dB, a voltage gain of 15.0 dB, an $OIP_3$ of 30.8 dBm and an input/output return loss of 11.6 dB/10.4 dB from 1.8 to 2.6 GHz.