• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.469-472
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• 2020

본 논문에서는 립모션 디바이스를 이용하여 손의 움직임을 계산하고 이로부터 저글링 운동 동작뿐 만 아니라 이것을 이용한 팔 근육을 연습할 수 있는 새로운 프레임워크를 제안한다. 제안된 방법은 실시간으로 동작하기 때문에 사용자의 동작에 맞춰진 분석을 할 수 있다. 본 논문의 프레임워크는 크게 세 부분으로 나누어진다. 우선, 1) 사용자가 공을 튕기는 이벤트 트리거를 손목 움직임으로부터 정의한 뒤, 2) 사용자의 손 위치를 기준으로 저글링 형태의 움직임을 공에 매핑시키기 위한 포물선 기반 입자 기법을 제안한다. 마지막으로, 3) 손목의 굽힘을 기반으로 근육의 활동 양을 시각화할 수 있는 기법을 제안한다. 결과적으로 본 논문의 프레임워크를 이용하면 실시간 저글링 게임을 할 수 있을 뿐만 아니라 사용자의 팔 근육 움직임을 실시간으로 분석할 수 있다.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.5
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• pp.533-539
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• 2012

The purpose of this study is to estimate a validity of control signal through a design of Exoskeleton Robot Arm's capable of intelligent recognition as a human arm's motion by using realtime processed data of generated EMG signals. By an intelligent algorithm, the EMG output value of human biceps and triceps muscles contraction can be recognized and used for the control over exoskeleton arm corresponding to human's recognition and judgement. The EMG sensing data of muscles contraction and relaxation are used as the input signal from human's body to operate the Exoskeleton Robot Arm thus copying human arm motion. An intelligent control of Exoskeleton Robot Arm is to design the analog control circuit which processes the input data, and then to manufacture an integrated control board. And then abstracted signal is passed by DSP signal processing, Fuzzy logic algorithm is designed for a accurate prediction of weight or load through the intelligent algorithm, and design an Exoskeleton Robot Arm to express a human's intention.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.161-164
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• 2008

A realization for EMG signal sensing and vertical control system of robotizing arm is presented in this paper. The system is realized that a fine EMG bio-signals of humans' arm muscle are detected by surface electrode sensor, making a high performance amplifier and filtering, converting analog into digital signal and driving a servomotor for robotizing arm. The system is experimented by monitoring multiple step vertical control angles of robotizing arm corresponding to EMG signals in moving arm muscles. The experimental result are that the vertical control level is measured to around 2 degrees and mean error is 5% approximately.

• Korean Journal of Applied Biomechanics
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• v.18 no.4
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• pp.143-149
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• 2008

The purpose of this study was to investigate the muscle activities of pectoralis major, upper serratus, lat dorsi, anterior deltoid, rhomboids, infraspinatus, and posterior deltoid using Noraxon 8 channels EMG system during T-ball swing in children with Down syndrome. Five Down syndrome, one healthy children, and one baseball adult player were participated in the study. Down syndrome's children showed higher muscle activity than one healthy children and one baseball adult player during address to backswing and backswing to impact swing phase. While Down syndrome's children showed lower muscle activity than one healthy children and one baseball adult player during impact to follow swing phase. The strength of the pectoralis major and upper serratus muscle may help to improve T-ball swing movement during impact to follow swing phase.

• Proceedings of the IEEK Conference
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• 2001.06e
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• pp.13-16
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• 2001

본 논문에서는 인간의 생체 임피던스를 이용하여 인간의 팔 운동을 추정하고자 한다. 생체 신호를 이용하여 인간의 운동을 추정하기 위해서는 먼저 생체 신호와 인간의 운동 사이의 정량적인 관계를 구해야 하며 특히, 다자유도 운동의 추정에는 생체 신호간의 간섭등을 고려하여야 한다. 본 논문에서는 먼저 일자유도 운동실험을 통해 생체 임피던스와 인간 팔 관절의 회전각 사이의 선형성을 고찰한다. 그리고, 다자유도 측정시에 발생하는 근육간의 결합성과 방향성의 문제에 대해 주파수 분할 측정법을 도입하여 팔의 다자유도 운동을 추정하였다. 마지막으로, 실제의 로봇을 제어하는데 응용하였다.

• 월간산업보건
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• s.80
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• pp.42-44
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• 1994

VDT(Visual Display Terminals)작업자에게는 손과 팔의 근육골격계 장해가 흔히 일어난다. 이와같은 장해는 대게 설계가 잘못된 주위작업환경 및 심리적인자와 관련이 있다. VDT사용과 관련된 건강문제를 식별하고 평가하기 위한 개량된 방법을 도출하기 위해서는 다원적인 접근방법이 필요하다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.3
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• pp.1229-1237
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• 2012

This study aimed to investigate the effect of hand grip force on the activity of shoulder muscles in 2 arm postures. The muscle activity of the upper trapezius, lower trapezius, infraspinatus, anterior deltoid, and posterior deltoid muscles in 22 healthy subjects (11 men and 11 women) were measured using surface electrodes during 4 hand gripping tasks (0%, 30%, 50%, and 70% of maximum voluntary contraction) in 2 shoulder positions (neutral position and $90^{\circ}$ elevation position). Among changing grip force significantly differenced infraspinatus, anterior deltoid, and posterior deltoid muscles' activity in the shoulder neutral position(p<0.05). In the shoulder $90^{\circ}$ elevation position, anterior deltoid, posterior deltoid muscles' activity was significantly differenced(p<0.05). Hand gripping was found to alter muscle activation. The hand grip task activated the infraspinatus muscle in the neutral position and inhibited the deltoid muscle in the $90^{\circ}$ elevation position. This finding may prove useful for the development preventative measures and rehabilitation strategies for shoulder injuries.

• Transactions of the Korean Society of Mechanical Engineers
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• v.3 no.2
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• pp.48-59
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• 1979

인간의 근육에 걸리는 힘에 대한 연구는 치료나 생체공학분야에서 대단히 중요한 부분을 차지하고 있다. 본 연구에서는 팔을 전두면(Frontal plane) 상에서 0.deg. 부터 90.deg. 까지 외전(Abduction)시킬 때 어깨근육에 작용되는 힘을 결정하는 방법을 개발시켰다. 여기에서는 해부한, 생리학적인 데타와 벡타해석 및 수학의 방법을 사용하였으며 정력학적으로 부정정(Inderterminant)인 문제를 ㅂ풀기 위하여 Minimal Effort Principle이 사용되었다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.8
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• pp.260-267
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• 2018

Surface electromyography (sEMG) is mainly used as an on/off switch in the early stage of the study and was then expanded to navigational control of powered-wheelchairs and recognition of sign language or finger gestures. There are difficulties in communication between people who know and do not know sign language; therefore, many efforts have been made to recognize sign language or finger gestures. Recently, use of sEMG signals to recognize sign language signals have been investigated; however, most studies of this topic conducted to date have focused on Chinese finger number gestures. Since sign language and finger gestures vary among regions, Korean- and Chinese-finger number gestures differ from each other. Accordingly, the recognition performance of Korean finger number gestures based on sEMG signals can be severely degraded if the same muscles are specified as for Chinese finger number gestures. However, few studies of Korean finger number gestures based on sEMG signals have been conducted. Thus, this study was conducted to identify potential forearm muscles from which to collect sEMG signals for Korean finger number gestures. To accomplish this, six Korean finger number gestures from number zero to five were investigated to determine the usefulness of the proposed muscles and electrode placements by showing that CNN technique based on sEMG signal after sufficient learning recognizes six Korean finger number gestures in accuracy of 100%.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.356-362
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• 2012

This study examined the effects of vocalization on upper extremity muscle activity during reaching task in patients with hemiplegia. Thirteen persons with right brain stroke performed reaching to a cup under four concurrent speech conditions of vocalizing the word "Ah" with hemiplegic side. These four conditions are self-vocalization, external vocalization, imaginary vocalization, and no vocalization. The muscle activity(Biceps brachii, Triceps brachii, Middle deltoid, and Upper trapezius) were measured using MP150. Muscle activity was significantly higher under self-vocalization and external vocalization conditions compared to the muscle activity under imaginary vocalization and no vocalization conditions on triceps brachii muscle.(p<0.05). Triceps brachii muscle was highly correlated with biceps brachii muscle(r=0.777, p<0.05). The results suggest that self-vocalization and external vocalization can be used in facilitating upper extremity movements in patients with stroke. When working with patients with right hemispheric stroke, therapists might explore possibilities of using patient's self-speech to enhance the quality of upper extremity movement performance.