• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.9
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• pp.1172-1178
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• 2018

A system that control computer presentations by using the hand motion recognition and identification is proposed. The system recognizes and identifies various types of motion in hand motion, controlls the presentation without additional control devices. To recognize hand movements, it performs a face and hand region detection. Facial area is detected using Haar classifier and hand region is extracted according to skin color information on HSV color model. The face area is used to determine the beginning and end of hand gestures, the size and direction of motion. It recognizes various hand gestures and uses them to control computer presentations according to the hand motion identification rules that are proposed and set horizontal and vertical axes from the face area. It is confirmed that 97.2% recognition rate is obtained in about 1200 hand motion recognition experiments and the proposed algorithm is valid in presentation control.

• Journal of Korea Game Society
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• v.11 no.2
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• pp.161-166
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• 2011

In this paper, we propose a novel background segmentation and feature point extraction method of a human motion for the augmented reality game. First, our method transforms input image from RGB color space to HSV color space, then segments a skin colored area using double threshold of H, S value. And it also segments a moving area using the time difference images and then removes the noise of the area using the Hessian affine region detector. The skin colored area with the moving area is segmented as a human motion. Next, the feature points for the human motion are extracted by calculating the center point for each block in the previously obtained image. The experiments on various input images show that our method is capable of correct background segmentation and feature points extraction 12 frames per second.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.05a
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• pp.117-120
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• 2009

본 연구는 손동작을 하였을 때 집중력이 EEG 코히런스(coherence)에 미치는 영향을 분석하였다. 신체에 이상이 없는 대학생 8 명이 시각 자극으로 제시되는 운동 작업을 지시하는 실험에 참여하였다. 실험 중 실시간으로 오른손의 요측 수굴근에 센서를 부착하여 EMG 를 측정하였고 국제 10-20 측정법에 의거한 C3 지점과 상하좌우로 2.5cm 떨어진 지점에 5 개의 전극을 부착하여 EEG 를 측정하였다. 운동영역간의 또는 운동영역과 비운동영역 사이의 코히런스 분석을 통하여 동작과 휴식을 구분해 주는 유의한 결과를 확인할 수 있었으나 개인에 따른 차이를 보였다. 유의한 차이를 보이는 코히런스 채널 쌍의 개수에 의해 강한 코히런스와 약한 코히런스로 그룹화 할 수 있었다. 개인별로 차이가 있는 EEG 코히런스의 결과는 동작시의 채널 별 EEG 의 상대적 출현량의 결과와 동일한 패턴을 가진 것으로 확인되어 주의력에 의한 영향임을 알 수 있었다.

• KIISE Transactions on Computing Practices
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• v.22 no.3
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• pp.133-138
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• 2016

Motion detection algorithms based on difference image are classified into background subtraction and previous frame subtraction. 1) Background subtraction is a convenient and effective method for detecting foreground objects in a stationary background. However in real world scenarios, especially outdoors, this restriction, (i.e., stationary background) often turns out to be impractical since the background may not be stable. 2) Previous frame subtraction is a simple technique for detecting motion in an image. The difference between two frames depends upon the amount of motion that occurs from one frame to the next. Both these straightforward methods fail when the object moves very "slightly and slowly". In order to efficiently deal with the problem, in this paper we present an algorithm for motion detection that incorporates "reflected light area" and "difference image". This reflected light area is generated during the frame production process. It processes multiplex difference image and AND-arithmetic of bitwise. This process incorporates the accuracy of background subtraction and environmental adaptability of previous frame subtraction and reduces noise generation. Also, the performance of the proposed method is demonstrated by the performance assessment of each method using Gait database sample of CASIA.

• Journal of the Korea Computer Graphics Society
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• v.5 no.2
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• pp.33-41
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• 1999

This paper presents a new algorithm about motion adjustment for dynamic balance. It adjusts an unbalanced motion to an balanced motion while preserving the nuance of original motion. We solve dynamic balancing problem using the zero moment point (ZMP) which is often used for controlling the balance of biped robot. Our algorithm is consists of four steps. First, it fits joint angle data to spline curves for reducing noise. Second, the algorithm analyzes the ZMP trajectory so that it can detects the dynamically-unbalanced duration. Third, the algorithm project the ZMP trajectory into the supporting area if the trajectory deviates from the area. Finally, the algorithm produces the balanced motion that satisfies the new ZMP trajectory. In this step, the constrained optimization method is used so that the new motion keeps the original motion characteristics as much as possible. We make several experiments in order to prove that our algorithm is useful to add physical realism to a kinematically edited motion.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.1797-1798
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• 2008

환자의 환부를 최소한으로 절개하여 시술하는 최소 침습 수술 수술은 많은 장점을 가지고 있어 그 활용도가 점차 확대되고 있다. 하지만 조작하는 조직으로부터 눈과 손이 분리되어 있기 때문에 많은 문제점들이 발생한다. 그 중 하나는 수술 영역과 시각 영역이 분리되어 발생하는데, 최적의 위치조정을 위한 자동 복강경 수술 로봇 팔 시스템 도입으로 이러한 문제를 해결하고 있다. 본 연구에서는 복강경 수술 로봇 팔을 설계하는데 있어 동작 범위를 빠르게 시각화하여 설계 단계에서 다양한 파리미터를 적용하여 보다 효율적인 복강경 수술 로봇 팔의 설계 방법을 제시한다. 제안된 물리 엔진을 이용한 동작 범위 분석 방법은 역기구학을 계산할 필요가 없으며, 설계가 바뀌어도 추가로 산출해야 하는 수식 없이 바로 수정된 기구학만으로 동작 범위 분석이 가능하다.

• 전기의세계
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• v.12
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• pp.30-34
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• 1963

비선형자기철심을 사용한 inductance를 그 비선형영역까지 동작하게 할때와 직렬형가포화 reactor에 R-C부하를 직렬로 연결하여 동작시킬 때 어떠한 동작범위에서는 회로의 전류진폭이 불안정한 경우가 있다. 특히 직렬형가포화 reactor에 R-C부하를 연결한 경우는 J.T.Salihi씨 및 H.C.Bourne씨에 의하여 그 동작현상이 설명되었다. 그러나 안정조건은 충분한것이 아니라고 생각되며 이와같은 R-L-C 직렬회로는 정량적으로 해석하는데 수학적인 난점이 있어서 곤란하지만 정성적인 방법 즉 근사계산에 의하여 안정성문제와 그 회로동작상태 등을 고찰할 수 있다. 본 고는 이러한 안정조건을 계산하여 제시코져 한다.

• The Journal of the Korea Contents Association
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• v.13 no.10
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• pp.434-443
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• 2013

The purpose of this study is to investigate the effectiveness of the way-finding exercise using a map in rehabilitation of cognitive function and activities of daily living in patients with a stroke. For the seven patients diagnosed with hemiplegia from a stroke, we executed the way-finding exercise using a map in the hospital, three times a week for two weeks. Loewenstein Occupational Therapy Cognitive Assessment(LOTCA) and Functional Independence Measure(FIM) were used to measure the cognitive function and performance of activities of daily living before and after intervention. For the visual perception area and the spatial relations of the spatial perception area of LOTCA, scores were significantly higher than before intervention(p<.05). For the walk/wheelchair of locomotion area and the problem solving of the social cognition area of FIM, scores were significantly higher than before intervention(p<.05). The results of this study show that a way-finding exercise for patients with a stroke is a useful therapeutic approach by enhancing cognitive function and performance of activities of daily living.

• The Journal of the Korea Contents Association
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• v.6 no.9
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• pp.50-59
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• 2006

This paper proposes an automatic video monitoring system and its application to emergency detection by analyzing human behavior using neural network. The object area is identified by subtracting the statistically constructed background image from the input image. The identified object area then is transformed to the feature vector. Neural network has been adapted for analyzing the human behavior using the feature vector, and is designed to classify the behavior in rather simple numerical calculation. The system proposed in this paper is able to classify the three human behavior: stand, faint, and squat. Experiment results shows that the proposed algorithm is very efficient and useful in detecting the emergency situation.

• The Transactions of the Korean Institute of Power Electronics
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• v.3 no.2
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• pp.156-164
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• 1998

The operation regions of a three-phase(3Ø) voltage-source(VS) PWM converter are classified in the current vector plane of the synchronous reference frame and their characteristics are explained. In the the power-factor decreasing region, the current control with unity power-factor can not give satisfactory performance to the given load because of the distortion of input current and the ripples and the steady-state errors in DC link voltage. In this paper, the derivation of the optimal current vector is proposed to solve these problems. With this, the input current can be controlled sinusoidally with available maximum power factor and the DC link voltage be the given load, resulting the expansion of the operation region of the 3Ø VS PWM converter. The validity of the proposed control method is proved by the experimental results.