• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.11a
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• pp.59-65
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• 2002

보다 현실감 있는 가상환경을 제공하기 위하여 시각정보 외에 힘의 정보를 사용자에게 제공할 필요가 있으며, 이러한 힘 반영은 햅틱장치에 의해서 수행된다. 일반적으로 영상 제시기에 의한 영상정보는 낮은 갱신율을 갖는 반면에, 햅틱장치는 상대적으로 높은 갱신율로 인간에게 힘정보를 제공하게 되므로, 이들 정보 간의 동기화가 중요하다. 본 논문에서는 가시모델의 원형을 일반화시켜서 햅틱장치에 전달하고, 영상 제시기의 갱신율과는 상관 없이 햅틱장치 내에서 임의의 구속공간을 만들어서 힘피드백을 수행하는 방법에 대해서 논의하고자 한다.

• Journal of the Korean Society of Industry Convergence
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• v.18 no.4
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• pp.231-240
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• 2015

In this paper, it was presented to design and analyze the kinematics of grasping a rigid object by means of multi-degrees-of-freedom hand fingers. It is shown firstly that a set of kinematic equation describing dynamics system of the arm and object together with geometric constraint of tight area-contacts is formulated by Lagrange's equation. It has been presented secondly that the problems of controlling both the forces of pressing object and the rotation angle of the object under the geometric constraints are discussed. In this research, the control method for static stable grasping and enhancing dexterity in manipulating things is proposed. It is illustrated by computer simulation that the control system gives the performance improvement in the kinematic grasping of the hand fingers of robot.

• Journal of Biomedical Engineering Research
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• v.17 no.3
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• pp.379-386
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• 1996

This paper describes an approach for classifying myoelectric patterns using a multilayer perceptrons (MLP's) and hidden Markov models (HMM's) hybrid classifier. The dynamic aspects of EMG are important for tasks such as continuous prosthetic control or vari- ous time length EMG signal recognition, which have not been successfully mastered by the most neural approaches. It is known that the hidden Markov model (HMM) is suitable for modeling temporal patterns. In contrasts the multilayer feedforward networks are suitable for static patterns. Ank a lot of investigators have shown that the HMM's to be an excellent tool for handling the dynamical problems. Considering these facts, we suggest the combination of MLP and HMM algorithms that might lead to further improved EMG recognition systems.

• Journal of international Conference on Electrical Machines and Systems
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• v.1 no.3
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• pp.366-371
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• 2012

In this paper, we propose an electric circuit using one common-arm of H-Bridge inverters to reduce the number of switching components in the multi-level inverter combined with H-Bridge inverters and transformers. And furthermore, we suggested a new multi-level PWM inverter using PWM level to reduce THD (Total Harmonic Distortion). We use a phase-shift switching method that has the same rate of usage at each transformer. Also, we test the proposed prototype 9-level inverter to clarify the proposed electric circuit and reasonableness of the control signal for the proposed multi-level PWM inverter.

• Physical Therapy Korea
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• v.13 no.4
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• pp.87-93
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• 2006

The purpose of this study was to compare the quality of life (QOL) between breast cancer patients with lymphedema and without using the SF-36 (Korean version). Fifty-three consecutive, unselected patients who underwent treatment for breast cancer patients with lymphedema and 37 patients without lymphedema from August 4, 2004 to October 13, 2005 were interviewed and asked to complete the SF-36. These data were used to test the hypothesis that breast cancer patients with lymphedema experience impaired quality of life relative to their control group. The lymphedema group scored poorer than the control group on six of the eight subscales as well as the physical component summary scale of the SF-36 (p<.05). Only bodily pain didn't show statistical difference (p>.05). Breast cancer patients with lymphedema appear to experience problems in multiple quality of life domains compared with without lymphedema group. These findings demonstrate the need for interventions to improve the quality of life in breast cancer patients with lymphedema.

• Proceedings of the KIPE Conference
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• 2005.07a
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• pp.673-676
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• 2005

In this paper, we proposed the electric circuit using one common arm of H-Bridge Inverters to reduce the number of switching component in multi-level inverter combined with H-Bridge Inverters and Transformers. and furthermore we suggested the new multi-level PWM inverter using PWM level to reduce THD(Total Harmonic Distortion). and we used the switching method that can be same rate of usage at each transformer. Also, we tested the proposed prototype 9-level inverter to clarify the proposed electric circuit and reasonableness of control signal for the proposed multi-level PWM inverter.

• Journal of Electrical Engineering and information Science
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• v.2 no.6
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• pp.20-27
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• 1997

We present a method of electromyographic(EMG) pattern recognition to identify motion commands for the control of a prosthetic arm by evidence accumulation with multiple parameters. Integral absolute value, variance, autoregressive(AR) model coefficients, linear cepstrum coefficients, and adaptive cepstrum vector are extracted as feature parameters from several time segments of the EMG signals. Pattern recognition is carried out through the evidence accumulation procedure using the distances measured with reference parameters. A fuzzy mapping function is designed to transform the distances for the application of the evidence accumulation method. Results are presented to support the feasibility of the suggested approach for EMG pattern recognition.

• Proceedings of the KIEE Conference
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• 1998.07g
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• pp.2305-2308
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• 1998

In this paper, a control algorithm which enables robot to cooperate with human is proposed. The method senses the humanbeing's intention by using force/torque sensor attached at the end effector and moves and cooperates as intended by humanbeing. The method also considers safety of the humanbeing by adjusting and limiting the robot speed automatically. The proposed method is verified its performance by computer simulation and experiments for the 2-DOF DD(Direct Drive) Arm in real-time

• Journal of Applied Reliability
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• v.16 no.1
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• pp.64-70
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• 2016

Purpose: The purpose of this study was to evaluate performance reliability of stroke patients using kinematic analysis. Methods: A protocol to evaluate performance reliability was performed for three tasks on 20 stroke patients and 10 normal people. The tasks include hand to head (HH) task, hand to mouth (HM) task, and hand to target (HT) task. Results: The affected arms showed smaller joint angle, slower peak velocity, longer time to peak velocity for task performances than control group. Also, slower peak velocity and longer movement time for task performance in unaffected arm of stroke patients were obtained compared with the control group. Conclusion: Kinematic analysis is very useful quantitative tool to provide understanding on upper extremity function of stroke patients.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.9
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• pp.952-958
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• 2009

This article presents a combined structure of serial and parallel mechanisms for a humanoid robot. The 3 DOF parallel structure is designed and added to the waist of the humanoid robot arm to give flexible bending and rotating motions. Forward and inverse kinematics of a serial and parallel robot have been analyzed to generate motions. Simulation studies of verifying kinematics solutions of the parallel robot have been done. Experimental studies of mimicking shake-hands motion have been conducted to show the feasibility and usability of the combined structure.