• Title, Summary, Keyword: motion pattern

FLOCKING AND PATTERN MOTION IN A MODIFIED CUCKER-SMALE MODEL

• Li, Xiang;Liu, Yicheng;Wu, Jun
• Bulletin of the Korean Mathematical Society
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• v.53 no.5
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• pp.1327-1339
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• 2016
• Self-organizing systems arise very naturally in artificial intelligence, and in physical, biological and social sciences. In this paper, we modify the classic Cucker-Smale model at both microscopic and macroscopic levels by taking the target motion pattern driving forces into consideration. Such target motion pattern driving force functions are properly defined for the line-shaped motion pattern and the ball-shaped motion pattern. For the modified Cucker-Smale model with the prescribed line-shaped motion pattern, we have analytically shown that there is a flocking pattern with an asymptotic flocking velocity. This is illustrated by numerical simulations using both symmetric and non-symmetric pairwise influence functions. For the modified Cucker-Smale model with the prescribed ball-shaped motion pattern, our simulations suggest that the solution also converges to the prescribed motion pattern.

A Study on the Change of Waist Pattern by Upper Limb Motion -By the Method of Tight Fitting Technique- (상지동작에 따른 길의 변화에 관한 연구 -입체재단법을 중심으로-)

• 이은정;박정순
• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.1
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• pp.113-127
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• 1996
• In this study, the pattern was copied by the method of Tight Fitting Techinque, which resulted from the changed body by the upper limb motion-front-vertical motion(or vertical motion in front), side-vertical motion, and horizontal motion. And, this study analyzed the change of the pattern and the observed items dimension changed to the pattern. The results are as follows: 1. In the observation of the degree of the pattern change according to the motion of upper limb, the result provides that the motion change in the range of $135^{\circ}$ to $180^{\circ}$ is the largest in front-vertical motion, $45^{circ}~90^{\circ}$ in side-vertical motion, and $0^{circ}~45^{\circ}$ in horizontal motion respectively. 2. The probability test result of the items of the motion is more related with the horizontal width item rather than the vertical length item in the front and back pattern where the back pattern has more effect than the front pattern. And the upper limb-surrounding items are more related than any otheer item. 3. The change of the pattern according to the motion shows the decrese of the neck width and the shoulder legth, the rising of the point of shoulder (or shoulder point) and armpit point, the decrease of the pattern width and the increase of the pattern length. As the angle of the motion grows vertically motion. The change of the shoulder length in the horizontal motion is smaller than that vertical. But as the angle of the motion grows horizontally, it has a tendency of decreas in th width of the front patten and the length of the pattern, whereas the width of the back pattern is noticeably increases.

Use of learning method to generate of motion pattern for robot (학습기법을 이용한 로봇의 모션패턴 생성 연구)

• Kim, Dong-won
• Journal of Platform Technology
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• v.6 no.3
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• pp.23-30
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• 2018
• A motion pattern generation is a process of calculating a certain stable motion trajectory for stably operating a certain motion. A motion control is to make a posture of a robot stable by eliminating occurring disturbances while a robot is in operation using a pre-generated motion pattern. In this paper, a general method of motion pattern generation for a biped walking robot using universal approximator, learning neural networks, is proposed. Existing techniques are numerical methods using recursive computation and approximating methods which generate an approximation of a motion pattern by simplifying a robot's upper body structure. In near future other approaches for the motion pattern generations will be applied and compared as to be done.

The User Motion Pattern Control System for The Simulated Vehicle

• Kim, Tae-Wan;Lee, Dong-Myung
• Journal of Engineering Education Research
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• v.15 no.4
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• pp.48-52
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• 2012
• The purpose of this paper is to design and implement the user motion pattern control system for the simulated vehicle. After analyzing the user motion patterns in the system, the patterns are used to control the moving direction of the simulated vehicle such as forward, backward, turn right, turn left etc. The patterns in the system around are sent to the simulated vehicle in real time. In order to execute the suggested user motion pattern control system, the Kinect is used for executing the system. The Kinect recognizes the specified user motion patterns and it transmits the data to the user motion pattern control system. There are nine kinds of the user motion patterns in the system for controlling the simulated vehicle. In addition to this, some sensors are used to detect the condition of the simulated vehicle. GPS is also used to estimate the current location of the simulated vehicle and to obtain the driving information.

A Fast Motion Estimation Algorithm with Motion Analysis (움직임 해석을 통한 고속 움직임 예측 알고리즘)

• Jun, Young-Hyun;Yun, Jong-Ho;Cho, Hwa-Hyun;Choi, Myung-Ryul
• Proceedings of the IEEK Conference
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• pp.339-342
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• 2005
• We present an efficient block-based motion estimation algorithm with motion analysis. The motion analysis determines a size of search pattern and a maximum repeated count of search pattern. In case of large movement in large image, we reduce search points and the local minimum which caused by low performance. The proposed algorithm employs with searching step of 2. The first step determines an initial search point with neighbor block vector and a size of initial search pattern. The second step determines a size of search pattern and a maximum repeated count with motion analysis. We improve motion prediction accuracy while reducing required computational complexity compared to other fast block-based motion estimation algorithms.

A New Cross and Hexagonal Search Algorithm for Fast Block Matching Motion Estimation (십자와 육각패턴을 이용한 고속 블록 정합 동작 예측 기법)

• Park, In-Young;Nam, Hyeon-Woo;Wee, Young-Cheul;Kim, Ha-Jine
• The KIPS Transactions:PartB
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• v.10B no.7
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• pp.811-814
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• 2003
• In this paper, we propose a fast block-matching motion estimation method using the cross pattern and the hexagonal pattern. For the block-matching motion estimation method, full search finds the best motion estimation, but it requires huge search time because it has to check every search point within the search window. The proposed method makes use of the fact that most of motion vectors lie near the center of block. The proposed method first uses the cross pattern to search near the center of block, and then uses the hexagonal pattern to search larger motion vectors. Experimental results show that our method is better than recently proposed search algorithms in terms of mean-square error performance and required search time.

Cross Diamond Search Using Motion Direction Biased Characteristics (움직임 방향 치우침 특성을 이용한 십자형 다이아몬드 탐색)

• Ryu, Kwon-Yeol
• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.8
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• pp.1527-1533
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• 2009
• In this paper, we design directional search pattern using motion direction biased characteristics of MVP distribution, and proposes a direction applied cross diamond search method that adaptively change search pattern according to moving direction of search point. Proposed method predict motion vectors from neighbor macro blocks, and define initial motion direction by using predicted motion vectors. It improve search efficiency by using alternately proposed search pattern according to motion direction of BMP in search process. The simulation results show that proposed method is able to fast motion estimation compared with conventional cross diamond search, according as it reduce computational complexity that is required of motion estimation with $0.43%{\sim}1.76%$.

A Fast Block-Matching Motion Estimation Algorithm with Motion Modeling and Motion Analysis (움직임 모델링과 해석을 통한 고속 블록정합 움직임 예측 방법)

• 임동근;호요성
• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.2
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• pp.73-78
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• 2004
• By modeling the block matching algorithm as a function of the correlation of image blocks, we derive search patterns for fast block matching motion estimation. The proposed approach provides an analytical support lot the diamond-shape search pattern, which is widely used in fast block matching algorithms. We also propose a new fast motion estimation algorithm using adaptive search patterns and statistical properties of the object displacement. In order to select an appropriate search pattern, we exploit the relationship between the motion vector and the block differences. By changing the search pattern adaptively, we improve motion prediction accuracy while reducing required computational complexity compared to other fast block matching algorithms.

Analysis of the Waistline and the Back Waist Point of Slacks Pattern for Optimizing the Range of Motion (동작적합성을 위한 슬랙스 패턴의 허리선 및 허리뒤점 설계에 관한 연구)

• Kwon, Sook-Hee;Hong, Ji-Un
• Journal of the Korean Home Economics Association
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• v.47 no.4
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• pp.61-72
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• 2009
• The purpose of this research is to suggest a new way to approach measuring the waist line of slacks. The pattern formulated enables a construction method that optimizes motion. The method is based on the measurement on the length change of the body surface line. The research reveals: 1. The analysis of expansion and contraction by area showed that G8 markedly shrunk, whilst G15 maximally stretched during M4 motion. 2. The areas that stretched during M2 motion were, in order of size: G10, G17, G16, and G8. Conversely, the areas that shrunk are, in order, G9, G11, and G18. The areas that stretched during M3 motion were G10, G17, G16, G12, and G15; the areas that shrunk were G9, G11, G18, and G8. 3. In constructing the slacks pattern to allow for appropriate movement, we calculated the length between the knee and back of the waist, point (y), using Pythagoras’theorem and trigonometry. The equation was y = 1.005x. 4. In the two pattern N method and L method, y is equal or less than x, but for our research pattern, y was larger than x

Experimental study on human arm motions in positioning

• Shibata, S.;Ohba, K.;Inooka, H.
• 제어로봇시스템학회:학술대회논문집
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• pp.212-217
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• 1993
• In this paper, characteristics of the motions of a human arm are investigated experimentally. When the conditions of the target point are restricted, human adjusts its trajectory and velocity pattern of the arm to fit the conditions skillfully. The purpose of this work is to examine the characteristics of the trajectory, velocity pattern, and the size of the duration in the following cases. First, we examine the case of point-to-point motion. The results are consistent with the minimum jerk theory. However, individual differences in the length of the duration can be observed in the experiment. Second, we examine the case which requires accuracy of positioning at the target point. It is found that the velocity pattern differs from the bell shaped pattern explained by the minimum jerk theory, and has its peak in the first half of the duration. When higher accuracy of the positioning is required, learning effects can be observed. Finally, to examine the case which requires constraint of the arm posture at the target point, we conduct experiments of a human trying to grasp a cup. It is considered that this motion consists of two steps : one is the positioning motion of the person in order to start the grasping motion, the other is the grasping motion of the human's hand approaching toward the cup and grasping it. In addition, two representative velocity patterns are observed : one is the similar velocity pattern explained in the above experiment, the other is the velocity pattern which has its relative maximum in the latter half of the duration.