• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 D
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• pp.2930-2932
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• 2000

In this paper. a robust gesture recognition system is designed and implemented to explore the communication methods between human and computer. Hand gestures in the proposed approach are used to communicate with a computer for actions of a high degree of freedom. The user does not need to wear any cumbersome devices like cyber-gloves. No assumption is made on whether the user is wearing any ornaments and whether the user is using the left or right hand gestures. Image segmentation based upon the skin-color and a shape analysis based upon the invariant moments are combined. The features are extracted and used for input vectors to a radial basis function networks(RBFN). Our "Puppy" robot is employed as a testbed. Preliminary results on a set of gestures show recognition rates of about 87% on the a real-time implementation.

• 대한인간공학회지
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• 제35권6호
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• pp.519-533
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• 2016

Objective: This study lays its aims at the definition of relevant operation method and function by researching on the value to be brought when applying smart device that can hand carry soft and flexible materials like jelly. Background: New technology and material play a role in bringing type transformation of interface and change of operation system. Recently, importance has been increased on the study of Organic User Interface (OUI) that conducts research on the value of new method of input and output adopting soft and flexible materials for various instruments. Method: For fulfillment of the study, 27 kinds of gestures have been defined that are usable in handheld device based on existing studies. Quantitative research of survey was conducted of adult male and female of 20s through 30s and an analysis was done on the function that can be linked to gestures with highest level of satisfaction. In order to analyze needs and hurdles of users for the defined gesture, a focus group interview was conducted aiming at the groups of early adopters and ordinary users. Results: As a result, it was found that users have much value regarding usability and fun for elastic device and analysis could be conducted on preferred gesture and its linkable functions. Conclusion: What is most significant with this study is that it sheds new light on the values of a device made of elastic material. Beyond finding and defining the gestures and functions that can be applied to a handheld elastic device, the present study identified the value elements of an elastic device - 'usability and 'fun' -, which users can basically desire from using it. Application: The data that this study brought forth through preference and satisfaction test with the gestures and associated functions will help commercialize an elastic device in future.

• 제어로봇시스템학회논문지
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• 제14권2호
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• pp.178-183
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• 2008

Human motion analysis is researched as a new method for human-robot interaction (HRI) because it concerns with the key techniques of HRI such as motion tracking and pose recognition. To analysis human motion, extracting features of human body from sequential images plays an important role. After finding the silhouette of human body from the sequential images obtained by CCD color camera, the skeleton model is frequently used in order to represent the human motion. In this paper, using the silhouette of human body, we propose the feature extraction method based on hybrid skeleton for detecting human motion. Finally, we show the effectiveness and feasibility of the proposed method through some experiments.

• 한국게임학회 논문지
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• 제15권1호
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• pp.27-34
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• 2015

본 논문은 기존 립모션 장비에 홀로그램과 햅틱 장비를 결합함으로써 향상된 몰입감과 사용 용이성을 제공할 수 있는 사용자 인터페이스를 제시한다. 립모션은 사용자 손동작의 물리적 행동이 직접 가상의 화면상에 영향을 주는 장치인데, 화면상의 가상 손모양을 제어해야 한다는 점과 가상환경에서의 영향을 사용자에게 전달할 수 없다는 한계를 가진다. 우리는 홀로그램을 립모션과 결합시켜 사용자로 하여금 실제 손과 가상 화면을 같은 공간에 배치함으로써 몰입감을 향상시킨다. 아울러 사용자의 손에 촉각을 전달할 수 있는 햅틱 장비를 장착하여 감각의 상호 작용을 실현하는 프로타입을 제시한다.

• 한국CDE학회논문집
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• 제21권2호
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• pp.159-169
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• 2016

In order to realize the virtual prototyping (VP) of digital products, it is important to provide the people involved in product development with the appropriate visualization and interaction of the products, and the vivid simulation of user interface (UI) behaviors in an interactive 3D virtual environment. In this paper, we propose an approach to web-based 3D virtual experience using Unity and Leap Motion. We adopt Unity as an implementation platform which easily and rapidly implements the visualization of the products and the design and simulation of their UI behaviors, and allows remote users to get an easy access to the virtual environment. Additionally, we combine Leap Motion with Unity to embody natural and immersive interaction using the user's hand gesture. Based on the proposed approach, we have developed a testbed system for web-based 3D virtual experience and applied it for the design evaluation of various digital products. Button selection test was done to investigate the quality of the interaction using Leap Motion, and a preliminary user study was also performed to show the usefulness of the proposed approach.

• 대한산업공학회지
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• 제42권1호
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• pp.57-64
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• 2016

Pen-based interaction is universally available on smart devices and especially on Tablet PCs. Previous studies compared various input methods like fingers, a mouse or a stylus pen on PCs or on a touchscreen based devices such as smart phones. At the same time, various soft keyboard applications are being developed on application stores of smart devices. However, these previous studies did not suggest which one is a suitable keyboard application for Tablet PCs when users perform a certain interaction as input type. In this study, we compared two types of input methods (finger and pen) and three types of soft keyboard applications (QWERTY, Gesture and Swype) in a Tablet PC using performance measurements (accuracy and input speed) and discussed what types of applications showed better performance with each interaction on tablet PC. From these results, recommendations for the keyboard types depending on the input methods on tablet PCs were developed.

• 예술인문사회 융합 멀티미디어 논문지
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• 제7권6호
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• pp.839-849
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• 2017

최근 주방의 역할은 이전의 생존 영위를 위한 공간으로부터, 현재의 생활과 문화를 보여주는 공간으로 발전하였다. 이러한 변화와 더불어, IoT 기술의 사용이 확산되고 있다. 그 결과로, 주방에서의 새로운 스마트기기의 발전과 보급이 이루어지고 있다. 때문에 이러한 스마트기기를 사용하기 위한 사용자 경험 또한 중요해지고 있다. 이는 맥락적 사용자 기반의 데이터를 통해 사용자와 컴퓨터간의 보다 자연스러우며 효율적인 상호작용을 기대할 수 있기 때문이다. 본 논문은 주방에서 사용하는 스마트기기의 사용자 인터페이스(user interface, UI)를 바탕으로 기기와 접촉을 하지 않는 자연스러운 사용자 인터페이스(natural user interface, NUI)를 고찰하고자 한다. 그 방법으로, 기기에 부착되어 있는 카메라를 이용하여 사용자의 손 제스처를 인식한 뒤 인식된 손의 모양을 인터페이스에 적용하는 영상 처리 기술을 활용하였으며 사용자의 맥락과 상황에 맞는 제스처를 제안하고자 하였다. 본 실험에 사용된 제스처의 기본방향은 직관성과 학습 용이성에 중점을 두었으며 기본적인 5개의 제스처를 분류하여 이를 인터페이스에 활용하였다.

• 한국정보전자통신기술학회논문지
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• 제4권3호
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• pp.197-201
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• 2011

최근 들어 인간과 컴퓨터와의 상호작용을 위한 인터페이스 분야에서 컴퓨터 시각 방식으로 손짓을 인식하고자 하는 연구가 널리 진행되고 있다. 손짓 인식에서 가장 중요한 이슈는 손가락의 방향성을 효율적으로 인식하는 것이다. 손짓 형상으로부터 얻은 원시형상요소들의 방향성은 손짓에 관한 중요한 정보를 내포하고 있으므로 본 논문에서는 형태론적 형상분해 기법을 사용하여 얻은 주 원시형상요소를 포함하는 원의 반경을 증가시키면서 부 원시형상요소와의 교차점을 구하여 손가락의 주 방향성을 인식하는 알고리즘을 제안하고, 실험을 통하여 그 유용성을 증명하였다.

• Journal of Information Processing Systems
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• 제8권3호
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• pp.399-408
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• 2012

Hand gesture recognition is an important area of research in the field of Human Computer Interaction (HCI). The geometric attributes of the hand play an important role in hand shape reconstruction and gesture recognition. That said, fingertips are one of the important attributes for the detection of hand gestures and can provide valuable information from hand images. Many methods are available in scientific literature for fingertips detection with an open hand but very poor results are available for fingertips detection when the hand is closed. This paper presents a new method for the detection of fingertips in a closed hand using the corner detection method and an advanced edge detection algorithm. It is important to note that the skin color segmentation methodology did not work for fingertips detection in a closed hand. Thus the proposed method applied Gabor filter techniques for the detection of edges and then applied the corner detection algorithm for the detection of fingertips through the edges. To check the accuracy of the method, this method was tested on a vast number of images taken with a webcam. The method resulted in a higher accuracy rate of detections from the images. The method was further implemented on video for testing its validity on real time image capturing. These closed hand fingertips detection would help in controlling an electro-mechanical robotic hand via hand gesture in a natural way.

• 한국정보통신학회논문지
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• 제10권11호
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• pp.2032-2038
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• 2006

연속되는 이미지 중에서 인간의 동작을 인식하는 것은 인간과 컴퓨터 의 상호 작용에서 매우 중요하고 도전할 분야이다. 본 논문에서는 CONDENSATION 알고리즘을 이용하여 입자 필터(particle filter)에 기반한 동작 인식 알고리즘을 제안한다. 입자 필터는 조건 확률 전파 모델(Conditional Density Propagation)인 베이시안(Bayesian) 추정 규칙을 적용하는 추적구조를 갖고 있기 때문에 다른 어떤 종류의 추적 알고리즘보다 뛰어난 성능을 보인다. 본 논문에서는 알고리즘의 성능평가를 위해서 두 개의 동작 모델을 가정하였고, 영상에 대한 전처리를 위해서는 MATLAB를 이용하였으며 입자필터는 고속 처리를 위하여 C++로 구현하였다. 두 개의 동작 실험 결과를 통해, 동작 인식 입자 필터가 복잡한 환경 속에서 강인한 추적 성능을 나타냄을 확인하였다.