• Journal of Korea Multimedia Society
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• v.15 no.4
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• pp.501-507
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• 2012

Human body motion is a non-verbal part for interaction or movement that can be used to involves real world and virtual world. In this paper, we explain a study on natural user interface (NUI) in human hand motion recognition using RGB color information and depth information by Kinect camera from Microsoft Corporation. To achieve the goal, hand tracking and gesture recognition have no major dependencies of the work environment, lighting or users' skin color, libraries of particular use for natural interaction and Kinect device, which serves to provide RGB images of the environment and the depth map of the scene were used. An improved Camshift tracking algorithm is used to tracking hand motion, the experimental results show out it has better performance than Camshift algorithm, and it has higher stability and accuracy as well.

• Journal of the Ergonomics Society of Korea
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• v.18 no.3
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• pp.153-169
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• 1999

The design of nuclear control room is advancing toward totally computer based human system interfaces (HSI). Computer based interfaces offer the opportunity to provide improved support of operator performance, but if not properly deployed, can introduce new challenges. This paper reviews the Westinghouse AP-600 Human Factors Verification and Validation Plan selected for HSI evaluation model of Korea next generation nuclear control rooms. The AP-600 HSI evaluation model addressed 15 evaluation issues considering major activity class of operator and task complexity factors. This paper also describes the test procedures experimenters should follow to evaluate the addressed issues.

• Annual Conference on Human and Language Technology
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• 2014.10a
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• pp.9-12
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• 2014

본 논문에서는 오인식된 고유명사의 후처리 방법을 제안한다. 최근 음성 인식 후처리를 위해 통계적 방법을 이용하는 연구가 활발히 진행되어 왔다. 하지만 고유명사의 음성 인식 후처리는 대용량의 데이터 수집에 많은 비용이 필요하므로 통계적 방법을 효과적으로 적용하기 어렵다. 따라서 본 논문에서는 발음 변이 현상을 고려하여 편집 거리 알고리즘을 개선한 기법을 제안한다. 본 논문에서는 고유명사의 음성 오인식 교정 성능을 검증하였고, 그 결과 P@3의 결과가 비교 모델보다 55%의 성능 향상률을 보였다.

• Archives of design research
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• v.13 no.3
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• pp.49-58
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• 2000

We commonly use the computer interface a generalized form. However, the requirement of the user various and some users cannot apply the general circumstance. For these requirements, this research suggests the non-verbal communication. The suggestion is that Mewing with the mouth in human behavior applies to the interaction of the computer This was offered in three forms. First, drawing application: second, the arcade game: third, the interactive book. in condusion, we confirmed that the suggestion of this research could be effectively used for the development of the human computer interface.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2006.11a
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• pp.823-828
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• 2006

In this paper, we addressed the computer interfacing method using the physical component in our living environment especially, a structure that has plane shape. A beamforming is the one of method for spatial location estimate, when appling it to the structure that has plane shapes, it estimates the event of impings location. and this impings event of specific location can be used for input unit of computing system. we expected, this result will contribute to human-computer interfacing research in home network environment.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.129-138
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• 2022

With the increasing reliance of computing systems in our everyday life, there is always a constant need to improve the ways users can interact with such systems in a more natural, effective, and convenient way. In the initial computing revolution, the interaction between the humans and machines have been limited. The machines were not necessarily meant to be intelligent. This begged for the need to develop systems that could automatically identify and interpret our actions. Automatic gesture recognition is one of the popular methods users can control systems with their gestures. This includes various kinds of tracking including the whole body, hands, head, face, etc. We also touch upon a different line of work including Brain-Computer Interface (BCI), Electromyography (EMG) as potential additions to the gesture recognition regime. In this work, we present an overview of several applications of automated gesture recognition systems and a brief look at the popular methods employed.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.281-285
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• 2008

In the digital media era, coded and non-coded communication are used to convey the message. As the computer interface has been adopted human communication methods, non-coded communication has bee used in the computer interface as well. The changes of message structure in the computer interface have an effect on shifting the way of user's message acceptance from passive to active. The recently developed computer user interfaces are for user to experience diverse visual effect The communication conveyed with this visual effects could be vague but user can conceive strong impact. This experience is understood not only through the visual experience from a monitor screen but also with a sense of tactile. The meaning of sensual and spectacle motion image could be ambiguous. However in the experience of using an interface, it plentifully expands the human sense by giving a visual experience on a whim. The sensually extemporaneous and splendid visual effect that has vague meaning has been very common happening in digital media environment.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.467-473
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• 2006

가상환경 또는 실제환경에서 정보를 제공하는 햅틱 인터페이스의 필요성이 점점 증가 함에 따라 촉감을 제공 하기 위한 다양한 햅틱 장치가 개발되었고 각 장치의 특성과 성능 평가를 위해 기초적인 정신(심리) 물리학적 연구가 수행 되고 있다. 본 논문에서는 여러 가지 햅틱 인터페이스 중 손가락 끝에 부착하는 형태의 새로운 공기 촉감 제시장치(PTI: Pneumatic Tactile Interface)를 제시하고 이 장치의 유용성을 입증하기 위해 localization rate, 시간 분해능, 길이 분해능, 강도의 세기 등의 심리 물리학적 실험(Psychophysical Experiment) 수행 결과를 제시한다. 공기촉감 시스템은 50개의 출력까지 확장 가능한 공기촉감 하드웨어로 구성 되어있고 손가락 끝에 부착하는 형태로 구성 하기 위해 5*5의 배열의 디스플레이를 제작하였다. 16명의 피실험자가 A, B 두 그룹으로 나뉘어 각각 2가지의 심리물리학 실험을 수행하였다. localization rate의 경우 9개의 다른 자극의 위치를 구별하기 위해 3*3 배열로 구성된 밀집된 디스플레이와 확장된 디스플레이로 측정을 수행하여 각각 58.13%, 85.9%의 localization rate를 얻을 수 있었다. 그리고 100번의 반복 실험을 통해 약 2.6mm의 길이 분해능을 얻을 수 있었고 자극 강도 실험의 경우, 실제의 강도가 세짐에 따라 피 실험 자들이 느끼는 강도의 척도도 증가 하며, 강도가 약해 질수록 피 실험 자들이 느끼는 강도 역시 거의 선형적으로 감소함을 알 수 있었다. 그러나 시간 분해능의 경우에는 시스템을 구성하는 밸브의 성능으로 인해 20ms 이하의 시간 분해능 측정은 제한 되었다. 이러한 심리 물리학 실험을 통하여 개발된 공기촉감 제시장치가 다양한 정보를 전달하는데 충분하다는 결론을 내릴 수 있으며, 제안된 시스템을 사용하는 여러 가지 어플리케이션을 제시하였다.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.22 no.4
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• pp.1-7
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• 2014

The purpose of study is to investigate the current user interface level of air traffic control system with the usability analysis and satisfaction survey questionnaire on user satisfaction. Think aloud protocol is used to identify not only task analysis, but also the level of user-friendliness of the FIMS and ASDE system, and the user interface questionnaires was conducted by QUIS. We collected data from 6 controllers for Think aloud protocol and 15 controllers for QUIS in Incheon airport. The results showed that the system was the valuable tool for ensuring human performance with the support of memory and the facilitation of decision-making tasks. It helps air traffic controllers perform better and minimize errors in a congested time. The human-computer interface system design, however, was not applied, which led to the increase of workload. Air traffic controller participation in software development provided excellent examples for applications in terms of software in FIMS. Based on these results, the study provided that the usability of system interface was necessary to take into account human factors. The development and design of system was discussed in User Interface environment.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.2
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• pp.251-256
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• 2008

Many researchers are studying about human Brain-Computer Interface(BCI) that it based on electroencephalogram(EEG) signals of multichannel. The researches of EEG signals are used for detection of a seizure or a epilepsy and as a lie detector. The researches about an interface between Brain and Computer have been studied robots control and game of using human brain as engineering recently. Especially, a field of brain studies used EEG signals is put emphasis on EEG artifacts elimination for correct signals. In this paper, we measure EEG signals as human emotions and divide it into five frequence parts. They are calculated related the percentage of selecting range to total range. the calculating values are compared standard values by Bayesian Network. lastly, we show the human face avatar as human Emotion.