• Title/Summary/Keyword: 움직임 의도

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Video Stabilization Based on Smoothing Filter of Undesirable Motion (비의도 움직임 완화 필터 기반 동영상 안정화)

  • Kim, Beomsu;Lim, Jinju;Hong, Min-Cheol
    • Journal of IKEEE
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    • v.19 no.2
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    • pp.244-253
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    • 2015
  • Please This paper presents method of video stabilization based on detection and adaptive motion smoothing filtering of undesirable motion. The proposed algorithm consists of two stages: the detection of undesirable motion and smoothing filtering of detected undesired motion. To incorporate desired properties into the motion smoothing process, the local maximum and the local minimum are defined in a set composed of the parameters of accumulative global motion. Using the local information, the constraints on detecting undesirable motions are defined. Based on these constraints, the alpha parameter of the alpha-trimmed means filter is adjusted, so that the degree of motion smoothing in the reconstructed video sequence is controlled. The experimental results demonstrated the capability of the proposed algorithm.

Estimation of Wrist Movements based on a Regression Technique for Wearable Robot Interfaces (웨어러블 로봇 인터페이스를 위한 회귀 기법 기반 손목 움직임 추정)

  • Park, Ki-Hee;Lee, Seong-Whan
    • Journal of KIISE
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    • v.42 no.12
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    • pp.1544-1550
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    • 2015
  • Recently, the development of practical wearable robot interfaces has resulted in the emergence of wearable robots such as arm prosthetics or lower-limb exoskeletons. In this paper, we propose a novel method of wrist movement intention estimation based on a regression technique using electromyography of human bio-signals. In daily life, changes in user arm position changes cause decreases in performance by modulating EMG signals. Therefore, we propose an estimation method for robust wrist movement intention for arm position changes, combining several movement intention models based on the regression technique trained by different arm positions. In our experimental results, our method estimates wrist movement intention more accurately than previous methods.

물리적 인간 기계 상호작용을 위한 근육의 기하학적 형상 변화를 이용한 상지부 움직임 예측

  • Han, Hyo-Nyeong;Kim, Jeong
    • ICROS
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    • v.16 no.3
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    • pp.34-39
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    • 2010
  • 근육 활성화시 나타나는 근육의 기하학적 형상인 단면적 변화를 움직임 의도 예측에 사용했다. 밴드 형태로 구성한 유연한 압전 케이블(flexible piezoelectric cable)을 이용하여 단면적을 측정하는 착용형 근육 활성도 측정 센서(pMAS, piezo cable muscle activation sensor)를 설계했고, 상완부에 적용하여 팔꿈치의 움직임을 예측했다.

The effect of art expertise and awareness of artists' intention on the patterns of eye movement during perception of abstract paintings with implied motion (미술에 대한 전문성과 화가의 표현 의도에 관한 자각이 운동성을 묘사한 추상화 지각 시 안구 운동 패턴에 미치는 영향)

  • Kim, Ji-Eun;Shin, Eun-Hye;Kim, Chai-Youn
    • Korean Journal of Cognitive Science
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    • v.25 no.3
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    • pp.259-276
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    • 2014
  • Artists such as Duchamp and Balla tried to portray moving objects on static canvases by superimposing snapshots of moving objects. Previously, our group showed the influence of prior experience on brain responses within a motion-sensitive area MT+ to abstr act paintings with or without implied motion. In the present study, we went further to investigate whether the differential MT+activation between observers is originated from differential eye movement patterns. Prior experience was defined operationally with major in art. In addition, we examined whether perceiver's awareness of artist's intention concerning the implied motion, as well as expertise in art, affects the way he/she views the artwork. Results showed that the number and the duration of fixation on the abstract paintings tended to differ between participants based on art major. The awareness of artist's intention was not related to such differences. In contrast, observers' awareness of artist's intention of implying motion affected eye movement patterns in specific regions of the abstract paintings where the motion was portrayed. In other words, observers with awareness focused more on the parts of paintings portraying motion and moved their eyes in the direction corresponding to the direction of moving objects than observers without awareness. Expertise was not related to such specific eye movement patterns. The present study implies that art expertise and awareness of artist's intention play differential roles in observers' perception of paintings with implied motion. Namely, it suggests that expertise is related to the overall perception of paintings, while awareness of implied motion is related to perception of the specific spatial information in those paintings.

The Digital Animation Performance for peace of the world (세계평화를 기원하는 디지털애니메이션 퍼포먼스)

  • 김현호
    • Proceedings of the Korea Contents Association Conference
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    • 2004.05a
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    • pp.562-565
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    • 2004
  • 본 작품은 보통의 애니메이션에서 나타나는 캐릭터는 등장하지 않고 거의 시종일관 미술적으로 창조된 이미지들의 애니메이션이다. 흔히 구체적인 스토리에 의해 등장하는 캐릭터들의 움직임 및 그 감정을 표현하는 애니메이션과 본 작품과 같이 구체적인 대사나 캐릭터에 의존하지 않는 이미지애니메이션을 비교해 보면 이미지애니메이션은 감독의 의도와는 상관없이 관객에 따라 느끼는 감정이 다양할 수 있다. 이는 추상미술을 감상하는 것과 같이, 보는 이에 따라 전혀 다르게 해석할 수도 있지만, 전체적인 분위기에서 감독이 의도한 것이 무엇인가를 생각하면서 감상하는 것도 좋은 감상법일 수 있다.

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A Study on Human-Robot Interface based on Imitative Learning using Computational Model of Mirror Neuron System (Mirror Neuron System 계산 모델을 이용한 모방학습 기반 인간-로봇 인터페이스에 관한 연구)

  • Ko, Kwang-Enu;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.23 no.6
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    • pp.565-570
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    • 2013
  • The mirror neuron regions which are distributed in cortical area handled a functionality of intention recognition on the basis of imitative learning of an observed action which is acquired from visual-information of a goal-directed action. In this paper an automated intention recognition system is proposed by applying computational model of mirror neuron system to the human-robot interaction system. The computational model of mirror neuron system is designed by using dynamic neural networks which have model input which includes sequential feature vector set from the behaviors from the target object and actor and produce results as a form of motor data which can be used to perform the corresponding intentional action through the imitative learning and estimation procedures of the proposed computational model. The intention recognition framework is designed by a system which has a model input from KINECT sensor and has a model output by calculating the corresponding motor data within a virtual robot simulation environment on the basis of intention-related scenario with the limited experimental space and specified target object.

Walking Intention Detection using Fusion of FSR and Tilt Sensor Signals (저항 센서와 기울기 센서의 융합에 의한 보행 의도 감지)

  • Jang, Eun-Hye;Chun, Byung-Tae;Lee, Jae-Yeon;Chi, Su-Young;Kang, Sang-Seung;Cho, Young-Jo
    • Science of Emotion and Sensibility
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    • v.13 no.3
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    • pp.441-448
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    • 2010
  • In the aging society, the walking assist robot is a necessary device for being able to help the older and the lower limb disabled people to walk. In order to produce a convenient robot for the older and the lower limb disabled, it is needed for the research to detect the implicit walking intention and to control robot by a user's intention. This study is a previous study to develop the detection model of the walking intention and analyze the user's walking intention while a person is walking with Lofstrand crutches, by the combination of FSR and tilt signals. The FSR sensors attached user's the palm and the soles of foot are sensing force/pressure signals from these areas and are used for detecting the walking intention and states. The tilt sensor acquires roll and pitch signal from area of vertebrae lumbales and reflects the pose of the upper limb. We can recognize the user's walking intention such as 'start walking', 'start of right or left foot forward', and 'stop walking' by the combination of FSR and tilt signals can recognize.

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A Study of Movement Expression in Fashion Design and Its Design Development (복식디자인에 나타난 움직임의 표현 분석과 디자인 개발)

  • Lee, Hyun-Jung;Choi, Yoon-Mi
    • The Research Journal of the Costume Culture
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    • v.14 no.1
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    • pp.128-141
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    • 2006
  • The purposes of this study are to consider characteristics of 'movement expression' that are not discovered in preceeding design studies in order to suggest 'movement expression' as a design formative principal and to make clothes which follows this idea. For the method of this study I used various literature about 'movement expression' as theoretical background and analyzed modern clothing in which 'movement expression' is expressed by collecting magazines including foreign collections from 1989 to 2004 and searching the internet. The results obtained from this study is as follows. First, clothing in which 'movement expression' is expressed removes monotony and tedium of clothing design, provides visual interest and satisfaction for clothing, and delivers designers' concept effectively by attracting a gaze quickly. And It is suggested a new division of 'movement expression' through analysis of the 'movement expression' expressed in clothing. It included the intentional movement by wearers, which is the 'movement expression' of broader meaning such as changes of form or position by a certain operation and changes of existence or function. This movement is not fixed and repeated but changes continuously. As a result of including the design expressing the intentional movement by wearers, one's own personality can be expressed more effectively. It is presented a design which has changeable movement expression continuously.

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Occluded Object Motion Tracking Method based on Combination of 3D Reconstruction and Optical Flow Estimation (3차원 재구성과 추정된 옵티컬 플로우 기반 가려진 객체 움직임 추적방법)

  • Park, Jun-Heong;Park, Seung-Min;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.5
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    • pp.537-542
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    • 2011
  • A mirror neuron is a neuron fires both when an animal acts and when the animal observes the same action performed by another. We propose a method of 3D reconstruction for occluded object motion tracking like Mirror Neuron System to fire in hidden condition. For modeling system that intention recognition through fire effect like Mirror Neuron System, we calculate depth information using stereo image from a stereo camera and reconstruct three dimension data. Movement direction of object is estimated by optical flow with three-dimensional image data created by three dimension reconstruction. For three dimension reconstruction that enables tracing occluded part, first, picture data was get by stereo camera. Result of optical flow is made be robust to noise by the kalman filter estimation algorithm. Image data is saved as history from reconstructed three dimension image through motion tracking of object. When whole or some part of object is disappeared form stereo camera by other objects, it is restored to bring image date form history of saved past image and track motion of object.