• IEIE Transactions on Smart Processing and Computing
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• 제5권4호
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• pp.267-273
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• 2016

Hand posture recognition is an important technique to enable a natural and familiar interface in the human-computer interaction (HCI) field. This paper introduces a hand posture recognition method using a depth camera. Moreover, the hand posture recognition method is incorporated with the Moving Picture Experts Group Rich Media User Interface (MPEG-U) Advanced User Interaction (AUI) Interface (MPEG-U part 2), which can provide a natural interface on a variety of devices. The proposed method initially detects positions and lengths of all fingers opened, and then recognizes the hand posture from the pose of one or two hands, as well as the number of fingers folded when a user presents a gesture representing a pattern in the AUI data format specified in MPEG-U part 2. The AUI interface represents a user's hand posture in the compliant MPEG-U schema structure. Experimental results demonstrate the performance of the hand posture recognition system and verified that the AUI interface is compatible with the MPEG-U standard.

• 한국CDE학회논문집
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• 제13권4호
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• pp.265-272
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• 2008

The flow of technology is going to human-oriented direction, from the time when the computer was first invented, to now where new computing environment using mobile and global network are everywhere. On that technology flow, ubiquitous is being suggested as new paradigm of computing environment. Augmented Reality is one of ubiquitous technologies that provide the interactions between human and computer. By adding computer-generated information to real information and their interaction, user can get the improved and more knowledgeable information about real world. The purpose of this paper is to show the possibility of applying vision based augmented reality to maintenance of product system.

• 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.

• Journal of Computing Science and Engineering
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• 제9권1호
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• pp.29-38
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• 2015

Human action recognition has become an important research topic in computer vision area recently due to many applications in the real world, such as video surveillance, video retrieval, video analysis, and human-computer interaction. The goal of this paper is to evaluate descriptors which have recently been used in action recognition, namely Histogram of Oriented Gradient (HOG) and Histogram of Optical Flow (HOF). This paper also proposes new descriptors to represent the change of points within each part of a human body, caused by actions named as Histogram of Changing Points (HCP) and so-called Average Speed (AS) which measures the average speed of actions. The descriptors are combined to build a strong descriptor to represent human actions by modeling the information about appearance, local motion, and changes on each part of the body, as well as motion speed. The effectiveness of these new descriptors is evaluated in the experiments on KTH and Hollywood datasets.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제5권3호
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• pp.246-252
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• 2005

Intelligent Space is a space where many sensors and intelligent devices are distributed. Mobile robots exist in this space as physical agents, which provide human with services. To realize this, human and mobile robots have to approach each other as much as possible. Moreover, it is necessary for them to perform interactions naturally. It is desirable for a mobile robot to carry out human affinitive movement. In this research, a mobile robot is controlled by the Intelligent Space through its resources. The mobile robot is controlled to follow walking human as stably and precisely as possible. In order to follow a human, control law is derived from the assumption that a human and a mobile robot are connected with a virtual spring model. Input velocity to a mobile robot is generated on the basis of the elastic force from the virtual spring in this model. And its performance is verified by the computer simulation and the experiment.

• 정보관리연구
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• 제33권2호
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• pp.49-66
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• 2002

본 고에서는 최근 이용자 중심의 정보커뮤니케이션 동향에 대해서 고찰하였다. 특히, 인터넷 기반에서 컴퓨터를 매개로 하는 커뮤니케이션( CMC)과 인간공학(HFE), 그리고 최근 관심이 모아지고 있는 인간과 컴퓨터 상호작용(HCI)을 중심으로 살펴보았다. 이러한 인간중심의 정보 커뮤니케이션 과정은 이용자 입장에서의 인터페이스 설계에 큰 영향을 미치고 있는 것으로 나타났다.

• 한국멀티미디어학회논문지
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• 제12권12호
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• pp.1728-1735
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• 2009

Human action tracking plays an important place in human-computer-interaction, human action tracking is a challenging task because of the exponentially increased computational complexity in terms of the degrees of freedom of the object and the severe image ambiguities incurred by frequent self-occlusions. In this paper, we will propose a novel method to track human action, in our technique, a dynamic background estimation algorithm will be applied firstly. Based on the estimated background, we then extract the human object from the video sequence, and the skeletonization method and Hough transform method will be used to detect the main structure of human body and each part rotation angle. The calculated rotation angles will be used to control a crane in the port, thus we can just control the container crane by using signalman body. And the experimental results can show that our proposed method can get a preferable result than the conventional methods such as: MIT, JPF or MFMC.

• 인터넷정보학회논문지
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• 제6권1호
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• pp.95-103
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• 2005

최근 단일 정보기기 시스템에서 다양한 채널을 동시에 접근할 수 있도록 하는 멀티-모달 시스템에 관한 연구가 많이 진행되고 있다. 이와 같은 멀티-모달 시스템은 정보 제공 및 e-비즈니스 어플리케이션에 유비쿼터스적인 접근이 가능하게 하며 HCI(Human-computer Interaction)의 실현 가능성을 높일 수 있다. 향후 더욱 발달되고 안정화 된 멀티-모달 브라우징 시스템을 구현할 수 있다면 사용자는 hands-free, eyes-fee의 환경에서 정보기기와의 상호작용을 최대화할 수 있을 것이다. 본 연구에서는 표준 입출력 모드(키보드, 마우스, 디스플레이)를 지원하는 웹 브라우저와 음성인식 및 음성합성을 지원하는 보이스 브라우저를 통합하는 멀티-모달 브라우징 시스템의 구조를 제시하였고, 이러한 시스템의 예로 영영 사전 검색 어플리케이션을 구현하였다.

• 한국멀티미디어학회논문지
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• 제8권6호
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• pp.844-855
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• 2005

This paper proposes a human action recognition scheme for Intelligent Web Browser. Based on the principle that a human action can be defined as a combination of multiple articulation movements, the inference of stochastic grammars is applied to recognize each action. Human actions in 3 dimensional (3D) world coordinate are measured, quantized and made into two sets of 4-chain-code for xy and zy projection planes, consequently they are appropriate for applying the stochastic grammar inference method. We confirm this method by experiments, that various physical actions can be classified correctly against a set of real world 3D temporal data. The result revealed a comparatively successful achievement of $93.8\%$ recognition rate through the experiments of 8 movements of human head and $84.9\%$ recognition rate of 60 movements of human upper body. We expect that this scheme can be used for human-machine interaction commands in a web browser.

• 산업경영시스템학회지
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• 제19권37호
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• pp.87-94
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• 1996

There is a currently a focus on the usability of interactive computer products. Many usability measurement and evaluation methods have been developed in the fields of human-computer interaction and software ergonomics. In this paper, the issues of usability evaluation methods are introduced, and the usability evaluation methods are classified and compared. Also, the framework for systematic usability effort based on product' lifecycle is presented.