• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.1
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• pp.47-55
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• 2017

As preliminary work for the establishment of a harmonized ship hand signal standard, this paper explores the availability of hand signals as a means of shipboard work communication and considers the validity of standardization. Prior to the feasibility study, shipboard work activities that use hand signals were classified based only on ship safety managers' arbitrary decisions. This survey was carried out to measure shipboard workers' willingness to communicate with hand signals and their preferences regarding the institutional standardization of a hand signal framework if they engage in activities classified as relevant. The results of statistical analysis (a t-test and correlation analysis) showed that respondents are willing to accept harmonized hand signals regardless of both their work type (crew/safety supervisors) and work department (deck/engine room) under working situations where hand signals are an available means of communication. In addition, there was a significant difference in the extent of shipboard workers' frequency of hand signal usages between each type of work activity, indicating a significant positive (+) correlation between frequency of usage and preference for standardization. Finally, it was concluded that shipboard work communication would be effectively improved if a follow-up study is carried out to establish prioritized harmonized hand signal standards for port-related work activities, such as crane operation, windlass/winch operation, line movement/delivery and cargo hold operations.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.72-75
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• 2004

In this paper, a finger-click recognition method is proposed to improve the recognition performance for finger-clicking of a wearable input device, called $SCURRY^{TM}$. The proposed method is composed of three parts including feature extraction part, valid click discrimination part, and cross-talk avoidance part. Two types of MEMS inertial sensors are embedded into the wearable input device to measure the angular velocity of a hand (hand movement) and the acceleration rates at the ends of fingers (finger-click motion). The experiment applied to the $SCURRY^{TM}$ device shows the improved stability and performance.

• Proceedings of the IEEK Conference
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• 2003.07c
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• pp.2875-2878
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• 2003

In this paper, we propose an EEG-based mental state prediction method during a mental tasks. In the experimental task, a subject goes through the process of responding to visual stimulus, understanding the given problem, controlling hand motions, and hitting a key. Considering the subject's varying brain activities, we model subjects' mental states with defining selection time. EEG signals from four subjects were recorded while they performed three mental tasks. Feature vectors defined by these representations were classified with a standard, feed-forward neural network trained via the error back-propagation algorithm. We expect that the proposed detection method can be a basic technology for brain-computer interface by combining with left/right hand movement or cognitive decision discrimination methods.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.11
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• pp.1076-1079
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• 2009

This article deals with an optical image stabilizer which moves an image sensor in the direction of cancelling the vibration caused by hand shaking to prevent a photographed image from blurring. The ball-guide way method adopted as a transfer device of the image sensor is easy to be manufactured because of its simple structure and is suitable to minimize the friction between mechanisms, but has weakness of a chance of physical defect such as groove and rising. In case that the movement of the transfer device equipped with the image sensor is blunted because a ball is stuck in defects of guide way, the performance of the image stabilizer falls down drastically. We propose a method to prevent the transfer device from blunting by applying artificial vibration. At this time, the artificial vibration should be designed under consideration of dynamic characteristics and specifications of the system to be discriminated from the vibration caused by hand shaking.

• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.1929-1930
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• 2006

Human like robot arm posture for grasping by considering the shape of the target object is quite a challenge in the field of robotics. In this paper, an optimized grasp posture with respect to the shape of the object considering the wrist joint angle and elbow elevation angle, in order to verify that the grasp posture is human like has been proposed. Given a target object, the candidates for grasp are computed by the method described in this paper. For each candidate, the closed loop inverse kinematics has been solved for the corresponding hand position and orientation. From the obtained joint angles through inverse kinematics, the elbow elevation angle has been computed and compared with the elbow elevation angle obtained through human movement data by the characteristic equation. After considering all the candidates, the hand position and orientation with minimum wrist joint and difference in elbow elevation angles has been utilized as the optimized grasp posture. Simulation results are presented.

• Proceedings of the KSR Conference
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• 2001.10a
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• pp.410-415
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• 2001

Conventional Korean tunnel portals require a lot of overburden as, fer static reasons, about 1.5 to 2.0 times the tunnel diameter is needed for the height in order to achieve a sufficient arching effect. Thus, considerable movement of earth and support constructions are required which lead to undesirably large changes of and damage to the environment. With a massively designed pipe roof, tunnels with little overburden can be built. For the effective construction of a pipe roof as an advancing safeguarding method, the following properties are indispensable： stability, insensitivity to settling and drilling accuracy. With the AT casing system a new pipe roof method has been developed which on the one hand entirely combines the properties mentioned last, and which on the other hand permits safe, economical and environmentally friendly construction of tunnels at low overburden heights of 3 to 6 m.

• Annual Conference of KIPS
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• 2003.11b
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• pp.1153-1156
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• 2003

무선네트워킹의 급격한 확대와 휴대가 간편한 이동단말의 보급이 증가함에 따라 QoS와 이동성이 보장된 IP Telephony 서비스가 필요하게 되었다. 무선인터넷을 이용하는 Voice over IP 서비스는 IP 기반의 인터넷과 셀룰러 네트워크를 합쳐 놀은 것과 유사하며 모바일 노드의 이동성 확보가 핵심 기술이다. 특히 전화서비스의 이용자는 Web이나 FTP같은 데이터 기반의 서비스에 비하여 지연이나 끊어짐에 매우 민감하므로 가급적 지연시간이 적은 핸드오프 기법이 필요하다. 본 연구에서는 무선네트워킹을 이용하는 VoIP 서비스 프로토콜 중 하나인 SIP(Session Initiation Protocol)를 기반으로 이동성 관리를 위한 신호의 흐름과 발생 가능한 지연의 구성요소를 분석하였다. 또한 핸드오프 지연을 줄이기 위한 유용한 기법이지만 신호 트래픽을 과다하게 발생시키는 Shadow Registration에 예측기법을 적용하여 핸드오프 지연을 감소시키면서도 신호 트래픽을 최소화하는 PSR(Predictive Shadow registration) 기법을 제안하였다.

• Korean Journal of Cognitive Science
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• v.8 no.4
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• pp.35-53
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• 1997

본 논문은 컴퓨터 시각을 이용하여 제스처를 인식함으로써 사용자에게 보다 편리한 인터페이스를 제공하는 것을 목표로 한다. 제안하는 제스처 인식 방법은 손영역을 획득하는 손영역 획득 모듈？손영역을 인식하는 인식 모듈로 나누어 수행한다. 손영역 획득 모듈에서는 손색상 모델？손색상 결정함수를 정의하여 칼라영상의 영역 분리를 수행하였고, 칼만필터를 이용하여 손색상 모델을 갱신하고 탐색영역을 제한하여 영역 추적을 용이하게 하였다. 영역 추적은 전 시점의 손영역 정보를 이용하여 현 시점의 손영역을 획득한다. 인식 모듈에서는 정적인 제스처를 표현하는 객체 프레임？행동 프레임, 그리고 동적인 제스처를 표현하는 스키마를 정의한다. 그리고 획득된 손영역？정합을 수행함으로써 제스처를 인식한다. 실험 결갬灌？제안하는 제스처 기반 인터페이스를 적용한 삼목(Tic-Tac-Toe) 게임 프로그램을 구현하였다. 사용자는 제스처를 이용하여 컴퓨터와 게임을 진행한다. 제안하는 시스템은 다른 종류의 게임 프로그램이나 마우스의 역할을 수행하는 윈도우 시스템의 제어, 그리고 가상 현실 시스템에 적용될 수 있다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.05a
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• pp.190-194
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• 2002

Human uses sight, tactile sense to evaluate Total Hand Value(FUUAI) of textile fabrics. Tactile sense is important factor which decided the Total Hand Value of a textile fabric. When human feels the FUUAI, physical and physiological phenomena are occurred in finger. We first found out physical variable that is happened in fingertip when human is feeling the FUUAI. Such physical variable means characteristic of action tactual motion of finger such as moving range, tactile time, moved distance, speed of finger and applied force by finger. We study the relationship between action tactual motion and the ability in which the human distinguishes the textile fabric. As a result, we could know the characteristics of the tactual motion of fingertip to get high distinguishable ability. The characteristics were different in men and women respectively. In the case of man, touched time and moving range influenced to distinguish, and moving range, and the moving speed of finger influenced, in woman's case.

• Proceedings of the KIEE Conference
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• 2004.05a
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• pp.120-122
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• 2004

Wearable input device that can make free-space typewriting possible is introduced. We named this device as $SCURRY^{TM}$. To measure the angular velocity of hand and the acceleration rates at the ends of fingers, we buried MEMS inertial sensors in this keyboard. We processed sensor signals to get the information on hand movement and finger-click motion. With this signal processing, apparent finger movements were depicted over the virtual keyboard shown on output device of a target computing system. In this paper, a finger-click recognition method is proposed to improve the recognition performance for finger clicking of $SCURRY^{TM}$. The proposed method is composed of three parts including feature extraction part, valid click part, and cross-talk avoidance part. The experiments were conducted to verify the effectiveness and efficiency of the proposed algorithms.