• Title/Summary/Keyword: Hand Device

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Development of a Guideline for Performance Evaluation of External Hand-Held Ultrasonic Probe (수지형 체외식 초음파 프로브의 성능 평가 가이드라인 개발)

  • Kim, San;Hwang, Yoonsu;Son, Dae-Woong;Yoon, Soonjong;Lee, Jaewon;Kim, Hyeogju
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39C no.10
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    • pp.896-908
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    • 2014
  • The electrical medical device market have been expanded since the public interest in healthy living that has deepened together with the global health trend of the aging population. The external hand-held ultrasonic probe is a frequently approved medical device and it is commonly used in the clinical field. However, there is no obvious standard or a guideline in Korea on regarding evaluation of performance of such external hand-held ultrasonic probe for approval and quality management. In this study, local and foreign reference standards were reviewed to propose performance test standards and methods after conducting characteristic of probe, market, and permission status. In addition, such proposed test items were validated to develop a draft guideline that is internationally harmonized for performance evaluation. This study is expected not only improve the quality and performance of the external hand-held ultrasonic probe but also contribute to securing consistency of permission and evaluation works for approval.

Influence of a Large-Eddy Breakup Device on Drag of an Underwater Vehicle (Large-Eddy Breakup Device가 수중운동체의 저항에 미치는 영향)

  • Kim, Joon-Seok
    • Journal of the Korea Institute of Military Science and Technology
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    • v.22 no.6
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    • pp.773-783
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    • 2019
  • A numerical analysis of a turbulent flow with a 'large-eddy breakup device(LEBU)' was performed to investigate the influence of the device on the drag of underwater vehicle using commercial CFD code, FLUENT. In the present study, the vehicle drag was decomposed to skin-friction coefficient(Cf) and pressure coefficient(Cp). The variation of the vehicle Cf and Cp were observed with changing location of the device and Reynolds number. As a result, the device decreased the vehicle Cf because it suppressed the turbulent characteristics behind the device. The larger Reynolds number, the higher reduction effect when the device was placed in front part of, and near the vehicle. On the other hand, the device increased/decreased the vehicle Cp with increasing/decreasing turbulent kinetic energy at recirculating flow region behind the vehicle. The total drag change by the device was caused by Cp rather than Cf.

3-D Hand Motion Recognition Using Data Glove (데이터 글로브를 이용한 3차원 손동작 인식)

  • Kim, Ji-Hwan;Park, Jin-Woo;Thang, Nguyen Duc;Kim, Tae-Seong
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.324-329
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    • 2009
  • Hand Motion Modeling and Recognition (HMR) are a fundamental technology in the field of proactive computing for designing a human computer interaction system. In this paper, we present a 3D HMR system including data glove based on 3-axis accelerometer sensor and 3D Hand Modeling. Data glove as a device is capable of transmitting the motion signal to PC through wireless communication. We have implemented a 3D hand model using kinematic chain theory. We finally utilized the rule based algorithm to recognize hand gestures namely, scissor, rock and papers using the 3-D hand model.

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A study of human grasping ability and its application to a robot hand

  • Kim, Ilhwan;Inooka, Hikaru
    • 제어로봇시스템학회:학술대회논문집
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    • 1991.10b
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    • pp.1774-1778
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    • 1991
  • In this paper, we discuss the smooth hand-over of an object from a man to a robot and vice versa. In order for a robot to grasp an object or release a grasped object stably without using object model, as a man does, one of the basic approaches is the physiological method motivated by the study of human hands. So, we analyze human's grasping behavior by measuring grasp and friction forces simultaneously as a man grasps a experimental device which is designed for grasping or hand-over. Also, we investigate two methods that can predict when and bow fingers will slip upon a grasped object. And then, we propose a method of the hand-over of an object between a man and a robot by applying human's capability to a robot hand control.

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Human-Computer Natur al User Inter face Based on Hand Motion Detection and Tracking

  • Xu, Wenkai;Lee, Eung-Joo
    • 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.

Design of a 6-DOF force reflecting hand controller (힘 반향 6자유도 수동조작기의 설계연구)

  • 변현희;김한성;김승호
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.1513-1518
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    • 1996
  • A force reflecting hand controller can be used to provide more realistic information to the operator of a teleoperation system such as kinesthetic feedback from a slave robot. In this paper, a new design concept of a force reflecting 6-DOF hand controller utilizing the kinematic structure of a Stewart Platform is presented. Based on the optimal design technique of a Stewart Platform, a force reflecting hand controller has been designed and constructed to verify the technical feasibility of proposed design concept. In order to provide an operator with kinesthetic feedback information, a force mapping algorithm based on a reciprocal product of screws has been introduced. Finally, the technical feasibility of the design concept has been demonstrated through some of experimental results of the device under virtual environment on a real-time graphic system.

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A Study of Hand Gesture Recognition for Human Computer Interface (컴퓨터 인터페이스를 위한 Hand Gesture 인식에 관한 연구)

  • Chang, Ho-Jung;Baek, Han-Wook;Chung, Chin-Hyun
    • Proceedings of the KIEE Conference
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    • 2000.07d
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    • pp.3041-3043
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    • 2000
  • GUI(graphical user interface) has been the dominant platform for HCI(human computer interaction). The GUI-based style of interaction has made computers simpler and easier to use. However GUI will not easily support the range of interaction necessary to meet users' needs that are natural, intuitive, and adaptive. In this paper we study an approach to track a hand in an image sequence and recognize it, in each video frame for replacing the mouse as a pointing device to virtual reality. An algorithm for real time processing is proposed by estimating of the position of the hand and segmentation, considering the orientation of motion and color distribution of hand region.

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A Light-weight ANN-based Hand Motion Recognition Using a Wearable Sensor (웨어러블 센서를 활용한 경량 인공신경망 기반 손동작 인식기술)

  • Lee, Hyung Gyu
    • IEMEK Journal of Embedded Systems and Applications
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    • v.17 no.4
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    • pp.229-237
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    • 2022
  • Motion recognition is very useful for implementing an intuitive HMI (Human-Machine Interface). In particular, hands are the body parts that can move most precisely with relatively small portion of energy. Thus hand motion has been used as an efficient communication interface with other persons or machines. In this paper, we design and implement a light-weight ANN (Artificial Neural Network)-based hand motion recognition using a state-of-the-art flex sensor. The proposed design consists of data collection from a wearable flex sensor, preprocessing filters, and a light-weight NN (Neural Network) classifier. For verifying the performance and functionality of the proposed design, we implement it on a low-end embedded device. Finally, our experiments and prototype implementation demonstrate that the accuracy of the proposed hand motion recognition achieves up to 98.7%.

Implementation of Computer Device of 2dimension Input for the disabled Using a Angular Acceleration Sensor (각가속도계 센서를 이용한 장애인용 컴퓨터 2차원 입력장치의 구현)

  • 정상봉;한성현
    • Proceedings of the IEEK Conference
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    • 1998.10a
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    • pp.837-840
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    • 1998
  • In this paper, we designed the computer input device for rehabilitation of people with hand disabilities. This input device is made up of two Gyrostar sensors attached in the orthnormal directions of x, y axes. Gyrostar is a sensor for angular Acceleration. This device is attached by the user's head side. Head movement is detected by analysing and processing the output wave signals from the sensors therefore enabling the user to move the mouse pointer that helps to operate the computer. This method does not necessitate a complex hardware or a long installation process, which was formerly the case, and uses real time algorithms which enables simple emulation of a computer mouse. The interface of this device and the mouse are the same.

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Experiment of a 3D Motion Input Device (3차원 운동 입력장치 구현)

  • Lee, Woo-Won;Choi, Myoung-Hwan
    • Journal of Industrial Technology
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    • v.19
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    • pp.173-178
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    • 1999
  • In many areas of technology there are machines and systems controllable in up to six degrees of freedom. Helicopters and underwater vehicles, industrial robots are among the first representatives of this category. They need six degrees of freedom in order to move and orient within their workspace. An even broader and more explosively growing area is 3D computer graphics and virtual environment. In this work, functions of 3D input device are described and two types of commercial 3D input device are presented. Then, a preliminary experiment of a low cost 6 axis force/moment sensor is presented that can also be sued as a 3D input device. A low cost force/moment sensor and its application in robot teaching experiment is described. It computes the direction of 3 components of the force and 3 components of the moment applied by human holding the sensor by hand. The concept is shown by an experiment where the tool position and orientation of a robot in 3 dimensional space is controlled by the proposed sensor.

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