• Title/Summary/Keyword: Skeleton Model

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Behavior-classification of Human Using Fuzzy-classifier (퍼지분류기를 이용한 인간의 행동분류)

  • Kim, Jin-Kyu;Joo, Young-Hoon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.12
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    • pp.2314-2318
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    • 2010
  • For human-robot interaction, a robot should recognize the meaning of human behavior. In the case of static behavior such as face expression and sign language, the information contained in a single image is sufficient to deliver the meaning to the robot. In the case of dynamic behavior such as gestures, however, the information of sequential images is required. This paper proposes behavior classification by using fuzzy classifier to deliver the meaning of dynamic behavior to the robot. The proposed method extracts feature points from input images by a skeleton model, generates a vector space from a differential image of the extracted feature points, and uses this information as the learning data for fuzzy classifier. Finally, we show the effectiveness and the feasibility of the proposed method through experiments.

Input Device of Non-Touch Screen Using Vision (비전을 이용한 비접촉 스크린 입력장치)

  • Seo, Hyo-Dong;Joo, Young-Hoon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.10
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    • pp.1946-1950
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    • 2011
  • This paper deals with an input device without the touch. The existing touch screens have some problems such as the week durability by frequent contact and the high cost by complex hardware configuration. In this paper, a non-touch input device is proposed to overcome these problems. The proposed method uses a skin color generated by the HCbCr color model and a hand region obtained by the labeling technique. In Addition, the skeleton model is employed to improve the recognition performance of the hand motion. Finally, the experiment results show the applicability of the proposed method.

A Study on the Behavior of Human Right Arm under Impact Condition (외부 충격시 우측팔의 생체역학적 거동해석)

  • Chae, Je-Wook;Lee, Joon-Ho;Kim, Hyun-Jun
    • Journal of the Korea Institute of Military Science and Technology
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    • v.12 no.2
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    • pp.152-158
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    • 2009
  • In this paper, the right arm was modelled by muscle-skeleton elements to obtain the behavior of right arm of human under impact condition, where physical and geometrical properties of human body such as Young's modulus, shear modulus, cross sectional area, length, density, moment of inertia and position were defined. Based on the numerical model of the right arm, the impact response of the right arm was obtained. By the comparison with the experimental results, the model of the right arm was verified.

An applied model for steel reinforced concrete columns

  • Lu, Xilin;Zhou, Ying
    • Structural Engineering and Mechanics
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    • v.27 no.6
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    • pp.697-711
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    • 2007
  • Though extensive research has been carried out for the ultimate strength of steel reinforced concrete (SRC) members under static and cyclic load, there was only limited information on the applied analysis models. Modeling of the inelastic response of SRC members can be accomplished by using a microcosmic model. However, generally used microcosmic model, which usually contains a group of parameters, is too complicated to apply in the nonlinear structural computation for large whole buildings. The intent of this paper is to develop an effective modeling approach for the reliable prediction of the inelastic response of SRC columns. Firstly, five SRC columns were tested under cyclic static load and constant axial force. Based on the experimental results, normalized trilinear skeleton curves were then put forward. Theoretical equation of normalizing point (ultimate strength point) was built up according to the load-bearing mechanism of RC columns and verified by the 5 specimens in this test and 14 SRC columns from parallel tests. Since no obvious strength deterioration and pinch effect were observed from the load-displacement curve, hysteresis rule considering only stiffness degradation was proposed through regression analysis. Compared with the experimental results, the applied analysis model is so reasonable to capture the overall cyclic response of SRC columns that it can be easily used in both static and dynamic analysis of the whole SRC structural systems.

Design of Corrective Controllers for Model Matching of Switched Asynchronous Sequential Machines (스위칭 비동기 순차 머신을 위한 모델 정합 교정 제어기 설계)

  • Yang, Jung-Min
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.2
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    • pp.139-146
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    • 2015
  • This paper presents the solution to model matching of switched asynchronous sequential machines by corrective control. We propose a model of switched asynchronous sequential machines, in which the system can have different dynamics of asynchronous machines governed by a pre-determined sequence of switching. The control objective is to derive a corrective control law so that the stable state behavior of the closed-loop system can match that of a prescribed model. A new skeleton matrix is defined to represent the reachability of the switched asynchronous machine, and a novel control scheme is presented that interweaves the switching signal and the corrective control procedure. A design algorithm for the proposed controller is illustrated in a case study.

Modeling of coupled liquid-gas-solid three-phase processes due to fluid injection

  • Zang, Yong-Ge;Sun, Dong-Mei;Feng, Ping;Stephan, Semprich
    • Geomechanics and Engineering
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    • v.13 no.1
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    • pp.1-23
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    • 2017
  • A coupled liquid-gas-solid three-phase model, linking two numerical codes (TOUGH2/EOS3 and $FLAC^{3D}$), was firstly established and validated by simulating an in-situ air flow test in Essen. Then the coupled model was employed to investigate responses of multiphase flow and soil skeleton deformation to compressed air or freshwater injection using the same simulation conditions in an aquifer of Tianjin, China. The simulation results show that with injecting pressurized fluids, the vertical effective stress in some area decreases owing to the pore pressure increasing, an expansion of soil skeleton appears, and land uplift occurs due to support actions from lower deformed soils. After fluids injection stops, soil deformation decreases overall due to injecting fluids dissipating. With the same applied pressure, changes in multiphase flow and geo-mechanical deformation caused by compressed air injection are relatively greater than those by freshwater injection. Furthermore, the expansion of soil skeleton induced by compressed air injection transfers upward and laterally continuously with time, while during and after freshwater injection, this expansion reaches rapidly a quasi-steady state. These differences induced by two fluids injection are mainly because air could spread upward and laterally easily for its lower density and phase state transition appears for compressed air injection.

An Algorithm of Fingerprint Image Restoration Based on an Artificial Neural Network (인공 신경망 기반의 지문 영상 복원 알고리즘)

  • Jang, Seok-Woo;Lee, Samuel;Kim, Gye-Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.8
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    • pp.530-536
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    • 2020
  • The use of minutiae by fingerprint readers is robust against presentation attacks, but one weakness is that the mismatch rate is high. Therefore, minutiae tend to be used with skeleton images. There have been many studies on security vulnerabilities in the characteristics of minutiae, but vulnerability studies on the skeleton are weak, so this study attempts to analyze the vulnerability of presentation attacks against the skeleton. To this end, we propose a method based on the skeleton to recover the original fingerprint using a learning algorithm. The proposed method includes a new learning model, Pix2Pix, which adds a latent vector to the existing Pix2Pix model, thereby generating a natural fingerprint. In the experimental results, the original fingerprint is restored using the proposed machine learning, and then, the restored fingerprint is the input for the fingerprint reader in order to achieve a good recognition rate. Thus, this study verifies that fingerprint readers using the skeleton are vulnerable to presentation attacks. The approach presented in this paper is expected to be useful in a variety of applications concerning fingerprint restoration, video security, and biometrics.

Realtime Human Object Segmentation Using Image and Skeleton Characteristics (영상 특성과 스켈레톤 분석을 이용한 실시간 인간 객체 추출)

  • Kim, Minjoon;Lee, Zucheul;Kim, Wonha
    • Journal of Broadcast Engineering
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    • v.21 no.5
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    • pp.782-791
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    • 2016
  • The object segmentation algorithm from the background could be used for object recognition and tracking, and many applications. To segment objects, this paper proposes a method that refer to several initial frames with real-time processing at fixed camera. First we suggest the probability model to segment object and background and we enhance the performance of algorithm analyzing the color consistency and focus characteristic of camera for several initial frames. We compensate the segmentation result by using human skeleton characteristic among extracted objects. Last the proposed method has the applicability for various mobile application as we minimize computing complexity for real-time video processing.

A Novel 3-(8-Chloro-6-(trifluoromethyl)imidazo[1,2-a]pyridine-2-yl)phenyl Acetate Skeleton and Pharmacophore Model as Glucagon-like Peptide 1 Receptor Agonists

  • Gong, Young-Dae;Cheon, Hyae-Gyeong;Lee, Tae-Ho;Kang, Nam-Sook
    • Bulletin of the Korean Chemical Society
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    • v.31 no.12
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    • pp.3760-3764
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    • 2010
  • We screened 10,000 heterocyclic small molecules and identified a novel hit core skeleton of 3-(8-chloro-6-(trifluoromethyl) imidazo[1,2-a]pyridine-2-yl)phenyl acetate derivatives. It has been selected as a potential glucagon-like peptide 1 receptor (GLP-1R) activator and demonstrated its effects in increasing GLP-1 secretion, and thereby increasing the glucose responsiveness in both in vitro and pharmacology analyses. Further studies are currently underway to optimize the potency and selectivity of 3-(8-chloro-6-(trifluoromethyl)imidazo[1,2-a]pyridine-2-yl)phenyl acetate derivatives (hit compounds 2 and 8), and address their in vivo efficacy and therapeutic potential. These molecules may serve as useful evidence showing that compounds with a 3-(8-chloro-6-(trifluoromethyl)imidazo[1,2-a]pyridine-2-yl)phenyl acetate moiety are selective GLP-1R agonists, and have potential as anti-diabetic treatment agents.

Experimental hysteretic behavior of in-plane loaded reinforced grouted multi-ribbed aerated concrete blocks masonry walls

  • Li, Sheng-Cai;Dong, Jian-Xi;Li, Li-Feng
    • Structural Engineering and Mechanics
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    • v.41 no.1
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    • pp.95-112
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    • 2012
  • In order to analyze the experimental hysteretic behavior of the in-plane loaded reinforced grouted multi-ribbed aerated concrete blocks masonry walls (RGMACBMW), we have carried out the pseudo static testing on the six specimens of RGMACBMW. Based on the test results and shear failure characteristics, the shear force hysteretic curves and displacement envelope curves of the models were obtained and discussed. On the basis of the hysteretic curves a general skeleton curve of the shear force and displacement was formed. The restoring model was adopted to analyze the seismic behavior and earthquake response of RGMACBMW. The deformation capacity of the specimens was discussed, and the formulas for calculating the lateral stiffness of the walls at different loading stages were proposed as well. The average lateral displacement ductility factor of RGMACBMW calculated based on the test results was 3.16. This value illustrates that if the walls are appropriately designed, it can fully meet the seismic requirement of the structures. The quadri-linear restoring models of the walls degradation by the test results accurately reflect the hysteretic behaviors and skeleton curves of the masonry walls. The restoring model can be applied to the RGMACBMW structure in earthquake response analysis.