• Title/Summary/Keyword: computer interface

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Human Motion Tracking by Combining View-based and Model-based Methods for Monocular Video Sequences (하나의 비디오 입력을 위한 모습 기반법과 모델 사용법을 혼용한 사람 동작 추적법)

  • Park, Ji-Hun;Park, Sang-Ho;Aggarwal, J.K.
    • The KIPS Transactions:PartB
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    • v.10B no.6
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    • pp.657-664
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    • 2003
  • Reliable tracking of moving humans is essential to motion estimation, video surveillance and human-computer interface. This paper presents a new approach to human motion tracking that combines appearance-based and model-based techniques. Monocular color video is processed at both pixel level and object level. At the pixel level, a Gaussian mixture model is used to train and classily individual pixel colors. At the object level, a 3D human body model projected on a 2D image plane is used to fit the image data. Our method does not use inverse kinematics due to the singularity problem. While many others use stochastic sampling for model-based motion tracking, our method is purely dependent on nonlinear programming. We convert the human motion tracking problem into a nonlinear programming problem. A cost function for parameter optimization is used to estimate the degree of the overlapping between the foreground input image silhouette and a projected 3D model body silhouette. The overlapping is computed using computational geometry by converting a set of pixels from the image domain to a polygon in the real projection plane domain. Our method is used to recognize various human motions. Motion tracking results from video sequences are very encouraging.

An Evaluation of Human Sensibility on Perceived Texture for Real Haptic Representation (사실적인 햅틱 표현을 위한 질감지각 감성 평가)

  • Kim, Seung-Chan;Kyung, Ki-Uk;Sohn, Jin-Hun;Kwon, Dong-Soo
    • Journal of KIISE:Software and Applications
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    • v.34 no.10
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    • pp.900-909
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    • 2007
  • This paper describes an experiment on the evaluation of human sensibility by monitoring responses to changes In the frequency and amplitude of a tactile display system. Preliminary tasks were performed to obtain effective adjectives concerning texture perception. The number of collected adjectives was originally 33. This number of adjectives was reduced to 14 by a suitability survey that asked whether an adjective is suitable for expressing a texture feeling. Finally after performing a semantic similarity evaluation, the number of adjectives was further reduced to ten and these ten were used in the main experiment. In the main experiment, selected sandpaper types and 15 selected combinations of frequencies and amplitudes of a tactile display were utilized to quantitatively evaluate the ten adjectives using a bipolar seven-point scale. The data show that a relationship exists between the independent variables(frequency, amplitude, and grit site) and the dependent variable(perceived texture). That is, the change of frequency and amplitude is directly related to perceived roughness or essential elements of human tactile sensitivity found in the preliminary experiment.

Face Detection in Color Images Based on Skin Region Segmentation and Neural Network (피부 영역 분할과 신경 회로망에 기반한 칼라 영상에서 얼굴 검출)

  • Lee, Young-Sook;Kim, Young-Bong
    • The Journal of the Korea Contents Association
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    • v.6 no.12
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    • pp.1-11
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    • 2006
  • Many research demonstrations and commercial applications have been tried to develop face detection and recognition systems. Human face detection plays an important role in applications such as access control and video surveillance, human computer interface, identity authentication, etc. There are some special problems such as a face connected with background, faces connected via the skin color, and a face divided into several small parts after skin region segmentation in generally. It can be allowed many face detection techniques to solve the first and second problems. However, it is not easy to detect a face divided into several parts of regions for reason of different illumination conditions in the third problem. Therefore, we propose an efficient modified skin segmentation algorithm to solve this problem because the typical region segmentation algorithm can not be used to. Our algorithm detects skin regions over the entire image, and then generates face candidate regions using our skin segmentation algorithm For each face candidate, we implement the procedure of region merging for divided regions in order to make a region using adjacency between homogeneous regions. We utilize various different searching window sizes to detect different size faces and a face detection classifier based on a back-propagation algorithm in order to verify whether the searching window contains a face or not.

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A Study of the Improvement and Practical Use on the Website Measurement Scale (웹사이트 측정도구의 개발과 활용에 대한 연구)

  • Kim, Dae-Hwan;Bae, Young
    • Survey Research
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    • v.10 no.1
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    • pp.91-112
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    • 2009
  • The aim of this study is to suggest a new website measurement scale revised in accordance with the present tendency, and to test the practical use of it. The empirically current studies suggest the information, connectivity, practical function, lay - out, design, interlace, system, service as a website measurement scale. However. this study suggest a new website measurement scale including communication between internet users, platform for editing information. The test of a practical use about measurement scale progressed by a survey on computer access. A sample of 300 internet users answered the question based on a new website measurement scale. The result of this study shows that primary factors of the website measurement scale are information, user interface, website service, and communication. The influence of these factors on user's website preference changed as compared with the past. The result also shows that there is close correlation between information factor and communication factor. And the communication factor suggested on this study has effected in user's website satisfaction. Results imply that the idea of web2.0 is practically an important strategy for improving website satisfaction. And, because influence of primary factors on the website satisfaction has changed continually, strategic planning will have to be kept up.

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The effects of the methods of eye gaze and visual angles on accuracy of P300 speller (시선응시 방법과 시각도가 P300 문자입력기의 정확도에 미치는 영향)

  • Eom, Jin-Sup;Sohn, Jin-Hun
    • Science of Emotion and Sensibility
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    • v.17 no.2
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    • pp.91-100
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    • 2014
  • This study was to examine how visual angle of matrix corresponding to the physical properties of P300 speller and eye gaze corresponding to the user's personal characteristics influence on the accuracy of P300. Visual angle of the matrix was operated as the distance between the user and the matrix and three groups were composed: 60 cm group, 100 cm groups, and 150 cm group. Eye gaze methods was consisted three conditions. Head moving condition was putting eye gaze using head, pupil moving condition was moving pupil with the head fixed, while the eye fixed condition is to fix the eye gaze at the center of the matrix. The results showed that there was significant difference in the accuracy of P300 speller according to the eye gaze method. The accuracy of the head moving condition was higher than the accuracy of pupil moving conditions, accuracy of pupil moving conditions was higher than the accuracy of the eye fixed conditions. However, the effect of visual angle of matrix and interaction effect were not significant. When P300 amplitude of target character was measured depending on how you stare at the target character, P300 amplitude of the head moving condition was greater than P300 amplitude of the pupil moving condition. There was no significant difference in the error distribution in head moving condition and pupil moving condition, while there was a significant difference between two eye gaze conditions and fixed gaze condition. The error was located at the neighboring characters of the target character in head moving condition and pupil moving condition, while the error was relatively distributed widely in fixed eye condition, error was occurred with high rate in characters far away from the center of matrix.

A Pilot Study on the Practical Model of Nonverbal Communication for the Effective Information Services (정보조사제공에 있어서 비언어적 커뮤니케이션의 응용모형개발을 위한 실증적 연구)

  • Han Sang-Wan
    • Journal of the Korean Society for Library and Information Science
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    • v.25
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    • pp.83-150
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    • 1993
  • Traditionally, the emphasis of the information services had been placed on the information provider's knowledge of information sources or information systems. However, in view of the increasing complexity of the information environment. and changes taking place in information professions the evaluation of the information services has callded for further research in interpersonal communication aspects of the librarian user interface especially that which links to user satisfaction. This experimental study was carried out for the purpose of exploring the implications of nonverbal behaviors in measuring user satisfaction in the light of the fact that the meaning of nonverbal clues includes more than verbal communication especially in dealing with variable barriers even though they operate at low levels of awareness. In this sense, among the wide range of nonverbal communication areas in particular kinesics, artifacts and the proximics were examined to suggest alternative model which can be applied effectively in our specific set of information work environment. Two major university libraries and two research libraries in Korea were chosen and visited for the anlysis and per each refernce/information interview the librarian's nonverbal behaviors were checked on the observer's checklist and the qustionnaires completed by the user at a time. On the basis of these data firstly, the relation of user satisfaction concerned with the librarian's nonverbal communication to user satisfaction with information services was analyzed and the possible communication barriers were investigated. In addition, the effect of training the information librarian with positive nonverbal communication skills on the user's satisfaction was analyzed in a SAS computer program in the area of kinesics. On the other hand, the effect of other nonverbal behaviors such as proximics and artifacts known very important clues to improving a complex human interaction was discussed along with their experimental results. In conclusion, it was found that most of users were not sensitive to the importance of nonverbal behaviors exposed by the information librarian, but it was proved that the ultimate user satisfaction and the satisfaction of the librarian's nonverbal behaviors are correlated positively, Moreover, nonverbal behaviors displayed by the trained librarian toward the user had a considerable effect on the user's evalution of information services compared with those by the untrained. These findings imply that in order to control the librarian's nonverbal behaviors and to help the user overcome his barriers the information librarian as a specialist needs to assure and modify willilingly his communication behavior. Without making effective use of such nonverbal communication, information librarian could not expect to meet the user's information needs either. However, when these positive nonverbal behaviors are applied it would be highly desirable to be aware of cultural and contextual differences. With regard to increasing information services success the applicable nonverbal communication model for library management and education can be suggested as below.

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Development of a Greenhouse Environment Monitoring System using Low-cost Microcontroller and Open-source Software (저비용 개방형 Microcontroller를 사용한 온실 환경 측정 시스템 개발)

  • Cha, Mi-Kyung;Jeon, Youn A;Son, Jung Eek;Chung, Sun-Ok;Cho, Young-Yeol
    • Horticultural Science & Technology
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    • v.34 no.6
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    • pp.860-870
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    • 2016
  • Continuous monitoring of environmental parameters provides farmers with useful information, which can improve the quality and productivity of crops grown in greenhouses. The objective of this study was to develop a greenhouse environment measurement system using a low-cost microcontroller with open-source software. Greenhouse environment parameters measured were air temperature, relative humidity, and carbon dioxide ($CO_2$) concentration. The ranges of the temperature, relative humidity, and $CO_2$ concentration were -40 to $120^{\circ}C$, 0 to 100%, and 0 to 10,000 ppm, respectively. A $128{\times}64$ graphic LCD display was used for real-time monitoring of the greenhouse environments. An Arduino Uno R3 consisted of a USB interface for communicating with a computer, 6 analog inputs, and 14 digital input/output pins. A temperature/relative humidity sensor was connected to digital pins 2 and 3. A $CO_2$ sensor was connected to digital pins 12 and 13. The LCD was connected to digital pin 1 (TX). The sketches were programmed with the Arduino Software (IDE). A measurement system including the Arduino board, sensors, and accessories was developed (totaling $244). Data for the environmental parameters in a venlo-type greenhouse were obtained using this system without any problems. We expect that the low-cost microcontroller using open-source software can be used for monitoring the environments of plastic greenhouses in Korea.

Implementation of Falls Detection System Using 3-axial Accelerometer Sensor (3축 가속도 센서를 이용한 낙상 검출 시스템 구현)

  • Jeon, Ah-Young;Yoo, Ju-Yeon;Park, Geun-Chul;Jeon, Gye-Rok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.5
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    • pp.1564-1572
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    • 2010
  • In this study, the falls detection and direction classification system was implemented using 3-axial acceleration signal. The acceleration signals were acquired from the 3-axial accelerometer(MMA7260Q, Freescale, USA), and then transmitted to the computer through USB interface. The implemented system can detect falls using the newly proposed algorithm, and also classify the direction of falls using fuzzy classifier. The 6 subjects was selected for experiment and the accelerometer was attached on each subject's chest. Each subject walked in normal pace for 5 seconds, and then the fall down according to the four direction(front_fall, back_fall, left_fall and right_fall) during at least 2 second. The falls was easily detect using the newly proposed algorithm in this study. The acquired signals were analyzed after 1 second from generating falls. The fuzzy classifier was used to classify the direction of falls. The mean value of the falls detection rate was 94.79%. The classifier rate according to falls direction were 95.83% in case of front falls, 100% incase of back falls, 87.5% in case of left falls, and 95.83% in case of right falls.

XSNP: An Extended SaC Network Protocol for High Performance SoC Bus Architecture (XSNP: 고성능 SoC 버스를 위한 확장된 SoC 네트워크 프로토콜)

  • Lee Chan-Ho;Lee Sang-Hun;Kim Eung-Sup;Lee Hyuk-Jae
    • Journal of KIISE:Computer Systems and Theory
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    • v.33 no.8
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    • pp.554-561
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    • 2006
  • In recent years, as SoC design research is actively conducted, a large number of IPs are included in a system. Various bus protocols and bus architectures are designed to increase IP reusability. Among them, the AMBA AHB became a de facto standard although it is somewhat inadequate for a large scale SoC. We proposed SNP and SNA, high performance on-chip-bus protocol and architecture, respectively, to solve the problem of the conventional shared buses. However, it seems to be imperative that the new on-chip-bus system support AMBA-compatible IPs for a while since there are a lot of IPs with AMBA interface. In this paper, we propose an extended SNP specification and a corresponding SNA component to support ABMA-compatible IPs used in SNA - based system. We extend the phase of the SNP by 1 bit to add new 8 phases to support communication based on AMBA protocol without penalty of elongated cycle latency. The ARB-to -XSNP converter translates the protocol between AHB and SNP to attach AMBA -compatible IPs to SNA based system. We show that AMBA IPs can communicate through SNP without any degradation of performance using the extended SNP and AHB - to- XSNP converter.

Distance measurement System from detected objects within Kinect depth sensor's field of view and its applications (키넥트 깊이 측정 센서의 가시 범위 내 감지된 사물의 거리 측정 시스템과 그 응용분야)

  • Niyonsaba, Eric;Jang, Jong-Wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.05a
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    • pp.279-282
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    • 2017
  • Kinect depth sensor, a depth camera developed by Microsoft as a natural user interface for game appeared as a very useful tool in computer vision field. In this paper, due to kinect's depth sensor and its high frame rate, we developed a distance measurement system using Kinect camera to test it for unmanned vehicles which need vision systems to perceive the surrounding environment like human do in order to detect objects in their path. Therefore, kinect depth sensor is used to detect objects in its field of view and enhance the distance measurement system from objects to the vision sensor. Detected object is identified in accuracy way to determine if it is a real object or a pixel nose to reduce the processing time by ignoring pixels which are not a part of a real object. Using depth segmentation techniques along with Open CV library for image processing, we can identify present objects within Kinect camera's field of view and measure the distance from them to the sensor. Tests show promising results that this system can be used as well for autonomous vehicles equipped with low-cost range sensor, Kinect camera, for further processing depending on the application type when they reach a certain distance far from detected objects.

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