• Journal of KIISE:Computing Practices and Letters
• /
• v.7 no.3
• /
• pp.248-259
• /
• 2001

This paper proposes a human action recognition scheme to recognize nonverbal human communications automatically. Based on the principle that a human body action can be defined as a combination of multiple articulation movements, we use the method of inferencing stochastic grammars to understand each human actions. We measure and quantize each human action in 3D world-coordinate, and make two sets of 4-chain-code for xy and zy projection plane. Based on the fact that the neighboring information among articulations is an essential element to distinguish actions, we designed a new stochastic inference procedure to apply the neighboring information of hands. Our proposed scheme shows better recognition rate than that of other general stochastic inference procedures. ures.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.17 no.5
• /
• pp.143-150
• /
• 2017

In this paper, we propose a novel motion recognition platform using smart-phone tracking and color communication. The interface requires only a camera and a personal smart-phone to provide a motion control interface rather than expensive equipment. The platform recognizes the user's gestures by the tracking 3D distance and the rotation angle of the smart-phone, which acts essentially as a motion controller in the user's hand. Also, a color coded communication method using RGB color combinations is included within the interface. Users can conveniently send or receive any text data through this function, and the data can be transferred continuously even while the user is performing gestures. We present the result that implementation of viable contents based on the proposed motion recognition platform.

• Journal of KIISE:Software and Applications
• /
• v.37 no.1
• /
• pp.80-84
• /
• 2010

Tracking hands is an essential technique for hand gesture recognition which is an efficient way in Human Computer Interaction (HCI). Recently, many researchers have focused on hands tracking using a 3D hand model and showed robust tracking results compared to using 2D hand models. In this paper, we propose a novel 3D hand tracking method based on a coupled particle filter. This provides robust and fast tracking results by estimating each part of global hand poses and local finger motions separately and then utilizing the estimated results as a prior for each other. Furthermore, in order to improve the robustness, we apply a multi-cue based method by integrating a color-based area matching method and an edge-based distance matching method. In our experiments, the proposed method showed robust tracking results for complex hand motions in a cluttered background.

• Journal of Korea Society of Industrial Information Systems
• /
• v.13 no.4
• /
• pp.145-154
• /
• 2008

In this paper, we propose the pet robot control system using hand gesture recognition in image sequences acquired from a camera affixed to the pet robot. The proposed system consists of 4 steps; hand detection, feature extraction, gesture recognition and robot control. The hand region is first detected from the input images using the skin color model in HSI color space and connected component analysis. Next, the hand shape and motion features from the image sequences are extracted. Then we consider the hand shape for classification of meaning gestures. Thereafter the hand gesture is recognized by using HMMs (hidden markov models) which have the input as the quantized symbol sequence by the hand motion. Finally the pet robot is controlled by a order corresponding to the recognized hand gesture. We defined four commands of sit down, stand up, lie flat and shake hands for control of pet robot. And we show that user is able to control of pet robot through proposed system in the experiment.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2016.06a
• /
• pp.347-348
• /
• 2016

프로젝터와 레이저 포인터를 이용한 상호작용은 널리 알려져 있다. 상호작용을 통해 레이저가 쓰기 동작을 하는 것처럼 보이게 함으로써 프레젠테이션에 활용하거나 마우스 기능을 대신하여 사용자와 영상간의 상호작용을 수행하였다. 본 논문은 위의 연구를 확장하여 스크린 영상에서 레이저를 실시간 검출하여 떨림 정도를 측정하는 방안을 제안한다. 제안된 방법은 레이저 광점이 찍힌 스크린 영상을 카메라로 다시 입력 받는 과정에서 레이저를 정확하게 검출하고 이를 통해 기준점 대비 실험자의 손 떨림의 정도를 수치화 하여, 손 떨림을 검출하고자 할 때 사용되었던 기존 방법인 자세 떨림(postural tremor)이나 운동 떨림(kinetic tremor)과 같은 직관적 관찰에 비해 떨림의 정도를 효과적으로 나타낼 수 있다.

• Proceedings of the KIEE Conference
• /
• 2004.07d
• /
• pp.2553-2555
• /
• 2004

본 논문은 사용자의 손가락 및 손의 움직임을 이용하여 키보드와 마우스로 사용하도록 개발된 착용형 입력장치 ($SCURRY^{TM}$)의 손가락 움직임을 감지하는 클릭인식 성능의 향상 방법을 제안한다. 제작된 착용형 입력장치는 클릭 감지용 가속도계가 장착된 손가락 부분과 손 움직임 감지용 각속도계가 장착된 손등 부분, 그리고 화면상의 가상키보드의 구성된다. 제안하는 클릭 감지 방법은 사용자의 클릭 의도를 파악하는 특징 추출부, 클릭 동작을 수행한 손가락을 판별하는 유효클릭 인식부, 그리고 손 움직임에 의해 발생된 외도하지 않은 클릭신호를 제거하는 신호혼선 제거부로 구성된다. 제안된 방법을 이용하여 착용형 입력장치의 클릭 일시성능이 향상됨을 실험으로부터 확인하였다.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2012.05a
• /
• pp.737-738
• /
• 2012

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2012.05a
• /
• pp.971-972
• /
• 2012

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2010.11a
• /
• pp.223-224
• /
• 2010

본 논문에서는 형상 분해(Shape Decomposition)를 이용한 손동작 인식 방법을 제안한다. 형상 분해 방법을 손동작 인식에 적용함으로써 다양한 동작에 대해서 유연한 인식이 가능하며, 기존의 형상 분해 방법을 손 형상 분해에 적합하게 효율적으로 개선함으로써 실시간 연산이 가능하도록 하였다.

• 대한예방의학회:학술대회논문집
• /
• 2002.10a
• /
• pp.305-306
• /
• 2002