• PNF and Movement
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• 제16권3호
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• pp.425-432
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• 2018

Purpose: The purpose of this study was to evaluate the relationship between foot pressure and upper arm PNF exercise conducted with elastic bands while standing. Methods: Eighteen asymptomatic patients consented to participate in the study. Foot pressure was measured in the standing position using the Gaitview system for proprioceptive neuromuscular facilitation stretching (PNF) using a right upper arm pattern. Resistance strength was varied based on the type of elastic band used (red=medium, green=heavy, and blue=extra heavy). Statistical significance of the results was evaluated using a repeated one-way ANOVA, and the Bonferroni method was used for the ad hoc test (SPSS ver. 18. for Windows). Results: A significant difference was observed in fore-foot, rear-foot, and everage pressure after upper arm PNF exercise. However, there was no significant difference according to the type of elastic band. Conclusion: Based on the results of this study, an upper arm PNF exercise with and without resistance may affect foot pressure in the standing position.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 16-17 Oct. 1987
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• pp.694-698
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• 1987

In this paper, the primitive and double combined motion classification of the arm is discussed using pattern recognition of EM signal. The EM signals are detected from Ag-Ag/Cl surface electrodes, and IBM PC, calculated the Likelyhood probability and the decision function on the feature space of integral absolute value. Multiclass decision rule is introduced for higher decision rate. On our experimental results from expert simulator, the decision rate of more than 78% can be obtained.

• 한국콘텐츠학회논문지
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• 제10권5호
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• pp.267-276
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• 2010

본 연구의 목적은 4가지의 다른 형태의 팔걸이를 이용하여 상지의 움직임을 제한하였을 때, 보행양상에 미치는 영향을 알아보고, 기능적인 보행을 획득하기 위한 기초자료를 제공하는 것이다. 건강한 성인 남녀20명을 대상으로 미착용 상태와 단일 끈형, 해리스 편측형, 뇌졸중용, 로리안 상완 커프형 팔걸이를 착용한 상태에서 무작위 순으로 GAITRite system을 통해 보행평가를 시행하였다. 팔걸이를 착용한 동측 하지의 보장에서 유의한 결과를 나타냈다(p=.002). 팔걸이를 착용하지 않았을 때보다 해리스 편측형 착용시에 팔걸이를 착용한 동측 하지의 보장이 감소되었다(p=.001). 신전형 팔걸이인 로리안 상완 커프형 착용시에 해리스 편측형 착용 시에 비해 동측 하지의 보장이 증가되었다(p=.01). 보행속도, 유각기, 단하지 지지기, 분속수에서는 통계적으로 유의한 변화가 없었다. 앞으로의 연구에서는 팔걸이를 착용하는 환자들에게 나타나는 보행변화에 대한 연구와 기능적인 보행패턴을 획득하기 위한 운동학적 측면의 연구가 이루어 져야 할 것이다.

• 한국ITS학회 논문지
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• 제19권6호
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• pp.88-95
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• 2020

본 논문에서는 고령 보행자의 안전한 보행을 위한 새로운 팔 스윙 보행 패턴 기반 보행안전 시스템을 제안한다. 제안한 시스템은 스마트 밴드, 스마트 워치 등 햅틱 기반의 디바이스를 활용한 고령 보행자용 보행 안전 시스템으로 기존의 하지 운동의 보행 패턴으로 보행자의 낙상 상황을 인지하기 어려운 문제점을 해결하기 위해 팔 스윙 기반의 보행 패턴을 활용한다. 팔 스윙 기반 보행 패턴은 디바이스의 가속도 센서를 이용한 팔의 스윙을 통해 걸음수 및 보행자의 낙상 상황을 인지하며 낙상 상황이 발생하는 위치를 데이터베이스화하여 고령 보행자에게 낙상 발생 예상 위치 근처를 보행할 시 경고 메시지를 전달하여 고령자에게 보행 안전을 제공한다. 이러한 시스템을 통해 고령자의 안전한 보행 권리 및 환경 개선할 수 있을 것으로 기대한다.

• 대한전기학회논문지
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• 제33권10호
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• pp.381-386
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• 1984

This paper deals with the microcomputer realization of EMG pattern recognition system which provides identification of motion commands from the EMG signals for the on-line control of a prosthetic arm. A probabilistic model of pattern is formulated in the feature space of integral absolute value(IAV) to describe the relation between a motion command and the location of corresponding pattern. This model enables the derivation of sample density function of a command in the feature space of IAV. Classification is caried out through the multiclass sequential decision process, where the decision rule and the stopping rule of the process are designed by using the simple mathematical formulas defined as the likelihood probability and the decision measure, respectively. Some floating point algorithms such as addition, multiplication, division, square root and exponential function are developed for calculating the probability density functions and the decision measure. Only six primitive motions and one no motion are incorporated in this paper.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 D
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• pp.2356-2358
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• 2004

This thesis aims to investigate new approaches to the control strategies of human arm movements and its application for the human interface. By analyzing myoelectric signal(MES) from the arm movements of the normal human subjects, neurological informations obtained patterned could be used to identify different movement patterns of the arm movement. In this paper Artificial neural network for separation of the contraction patterns of four kinds of arm movements, i.e. and flexion and extension of the elbow and adduction and abduction of the forearm were adopted through computer simulation and experiments results were compared with the experimental added-load arm movements.

• 한국의류학회지
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• 제22권7호
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• pp.892-900
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• 1998

This study was done to analyze the surface development of upper arm for planning sleeve armhole line. The major conclusions of this study are: 1. The surface development by arm movements made the expansion and contraction of upper arm surface changes easily visible. Armhole lines of 90$^{\circ}$and 135$^{\circ}$~180$^{\circ}$movements deviated from those of standard posture. 2. According to regression analysis, armhole lines on the upper arm were adapted to sleeve patten, following the axillary circumference line changed to biceps line. Sleeve cap length ranged from armhole/4+2.5cm to armhole/4$\pm$0.5cm. 3. Compared to Rim's pattern method, ascending and descending amounts of armhole lines were represented as fixed values.

• 한국안전학회지
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• 제8권1호
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• pp.64-70
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• 1993

Serious injuries and deaths due to multi-jointed robot occur when a man mispercepts. especially during robot teaching and maintenance work. Since industrial robots often operate with unpredictable motion patterns, establishment of safe speed limit of robot arm is indispensable. An experimental emergency conditions were simulated with a multi-jointed robot. and response characteristics of human operators were measured. The result showed that failure type, robot arm axis. and robot arm speed had significant effects on human reaction time. The reaction time was slightly increased with robot arm speed. though it showed somewhat different pattern owing to failure type. Furthermore the reaction time to the axis which could flex or extend. acting on a workpiece directly. was fastest and its standard deviation was small. The robot arm speed limit securing a‘possible contact zone’based on overrun distance was about 25cm/sec. and in this sense the validity of safe speed limits suggested by many precedent researchers were discussed.

• 한국의류학회지
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• 제12권2호
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• pp.237-248
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• 1988

To access the appropriate height of sleeve cap which is required for the basic sleeve pattern according to arm movements, plaster gypsum experiment was performed. Arm movements were 5types ($0^{\circ},\;45^{\circ},\;90^{\circ},\;135^{\circ},\;180^{\circ}$) to the vertical directions in the front. The appropriateness of the pattern was analyzed by measuring clothing pressure. The results obtained were as follows: 1. Increasing the movement angle, sleeve width increased but height of sleeve cap and armhole girth decreased. 2. Increasing the movement angle, the acromion moved to the front part of bodice. 3. On the basis of the result of the height of sleeve cap, the $\frac{AH}{4} +2.5cm$ sleeve basic 4 pattern is suitable for the direction $M_1(0^{\circ}),\;M_2(45^{\circ})$, and the $\frac{AH}{5}$sleeve basic pattern is suitable for the direction $M_3(90^{\circ}),\;M_4(135^{\circ})$, and $M_5(180^{\circ})$. 4. As the movement angle and height of sleevecap increased, the part which receive high pressure increased and the difference between the hightest and the lowest clothing pressure increased. 5. By the variation of movement angle and height of sleevecap, clothing pressure of upperarm was affected more than that of shoulder blade. 6. The clothing pressure of upperarm and shoulder blades were more affected by the height of sleeve cap than the ease of breast area. 7. Considering the clothing pressure of various arm movement, the most appropriate height of sleeve cap for $M_1(0^{\circ}),\;M_2(45^{\circ})$ positions was to use the $\frac{AH}{4}$+2.5cm, and for $M_3(90^{\circ}),\;M_4(135^{\circ})$, and $M_5(180^{\circ})$, was $\frac{AH}{5}$.

• 정보보호학회논문지
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• 제32권2호
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• pp.227-242
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• 2022

안드로이드 OS의 패턴 스크린 잠금 기능은 가장 일반적으로 사용되는 사용자 인증 기법이다. 현재 사용되는 패턴 스크린 잠금 기법은 패턴의 종류에 따라 약 39만개의 조합이 가능하며, 잘못된 입력 시 입력 지연 등의 기법이 적용되어 무작위 대입 공격으로는 쉽게 공격하기 어렵다. 이 논문에서는 ARM 기반의 멀티코어 시스템에서 사용하는 하드웨어의 구성 요소 중 캐시 일관성 인터페이스가 패턴의 종류를 파악할 수 있는 부채널이 될 수 있음을 보인다. 이러한 하드웨어 부채널을 이용하여 스크린 잠금 패턴의 꺾임 횟수와 전체 길이를 유추할 수 있으며, 이를 통해 공격의 효율성이 매우 높아질 수 있음을 제시한다.