• Title/Summary/Keyword: human movement

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Perception of Ship's Movement in Docking Maneuvering using Ship-Handling Simulator

  • Arai, Yasuo;Minamiya, Taro;Okuda, Shigeyuki
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2006.10a
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    • pp.3-10
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    • 2006
  • Recently it is coming to be hish reality on visual system in ship-handling simulator depending on the technical development of 3D computer graphics. Even with high reality, it is possible that visual information presented seafarers through screen or display is not equivalent to the real world. In docking maneuvering, visual targets or obstructs are sighted close to ship's operator or within few hundred meters, so it might be possible to affect visual information such as the difference between both eyes' and single eye's visual sight. Because it is not possible to perceive of very slow ship's movement by visual in case of very large vessels, so the Doppler Docking SONAR and/or Docking Speed and Distance Measurement Equipment were developed and applied for safety docking maneuvering. By the way, the simulator training includes the ship's maneuvering training in docking, but in Ship-handling Simulator and also onboard, there are some limitations of perception of ship's movement with visual information. In this paper, perception of ship's movement with visual system in Ship-handling Simulator and competition of performances of visual systems that are conventional screen type with Fixed Eye-point system and Mission Simulator. We got some conclusions not only on the effectiveness for visual system but also on the human behavior in docking maneuver.

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Characteristics of Drone Broadcasting Camera Moving through Content Analysis Method (내용분석을 통해 본 드론 방송영상의 카메라 움직임 특성 연구)

  • Lim, Hyunchan
    • Journal of Korea Multimedia Society
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    • v.24 no.8
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    • pp.1178-1183
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    • 2021
  • Based on the camera movement on image expression and grammar, this study intended to analyze the characteristics of image expression filmed and broadcasted by drones. This study analyzed drone images using the movement characteristics of existing video cameras as a coding nomenclature. These were intended to examine the differences from existing video grammar and their implications. This study conducted a content analysis using the entire population of drone news footage broadcast for four years in 2015, 2016, 2017 and 2018 by TV Chosun. The size of the screen, camera work, duration of the shot, camera angle, etc. were selected and analyzed. As a result, the drone camera work showed that it uses the most dolly shots in the case of camera movement, followed by the drone camera movement in the order of pan and tilt shots. For zoom, the frequency of use was the smallest. In addition, this study analyzed the size of the screen, duration of the shot, and camera angle of drone. Analysis shows that drones use certain camera movements most frequently, and unlike grandiose modifiers such as "extension of human gaze," drone remains as a supplementary means to enhance the traditional media expression.

An Application of Deep Clustering for Abnormal Vessel Trajectory Detection (딥 클러스터링을 이용한 비정상 선박 궤적 식별)

  • Park, Heon-Jei;Lee, Jun Woo;Kyung, Ji Hoon;Kim, Kyeongtaek
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.4
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    • pp.169-176
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    • 2021
  • Maritime monitoring requirements have been beyond human operators capabilities due to the broadness of the coverage area and the variety of monitoring activities, e.g. illegal migration, or security threats by foreign warships. Abnormal vessel movement can be defined as an unreasonable movement deviation from the usual trajectory, speed, or other traffic parameters. Detection of the abnormal vessel movement requires the operators not only to pay short-term attention but also to have long-term trajectory trace ability. Recent advances in deep learning have shown the potential of deep learning techniques to discover hidden and more complex relations that often lie in low dimensional latent spaces. In this paper, we propose a deep autoencoder-based clustering model for automatic detection of vessel movement anomaly to assist monitoring operators to take actions on the vessel for more investigation. We first generate gridded trajectory images by mapping the raw vessel trajectories into two dimensional matrix. Based on the gridded image input, we test the proposed model along with the other deep autoencoder-based models for the abnormal trajectory data generated through rotation and speed variation from normal trajectories. We show that the proposed model improves detection accuracy for the generated abnormal trajectories compared to the other models.

Sign2Gloss2Text-based Sign Language Translation with Enhanced Spatial-temporal Information Centered on Sign Language Movement Keypoints (수어 동작 키포인트 중심의 시공간적 정보를 강화한 Sign2Gloss2Text 기반의 수어 번역)

  • Kim, Minchae;Kim, Jungeun;Kim, Ha Young
    • Journal of Korea Multimedia Society
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    • v.25 no.10
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    • pp.1535-1545
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    • 2022
  • Sign language has completely different meaning depending on the direction of the hand or the change of facial expression even with the same gesture. In this respect, it is crucial to capture the spatial-temporal structure information of each movement. However, sign language translation studies based on Sign2Gloss2Text only convey comprehensive spatial-temporal information about the entire sign language movement. Consequently, detailed information (facial expression, gestures, and etc.) of each movement that is important for sign language translation is not emphasized. Accordingly, in this paper, we propose Spatial-temporal Keypoints Centered Sign2Gloss2Text Translation, named STKC-Sign2 Gloss2Text, to supplement the sequential and semantic information of keypoints which are the core of recognizing and translating sign language. STKC-Sign2Gloss2Text consists of two steps, Spatial Keypoints Embedding, which extracts 121 major keypoints from each image, and Temporal Keypoints Embedding, which emphasizes sequential information using Bi-GRU for extracted keypoints of sign language. The proposed model outperformed all Bilingual Evaluation Understudy(BLEU) scores in Development(DEV) and Testing(TEST) than Sign2Gloss2Text as the baseline, and in particular, it proved the effectiveness of the proposed methodology by achieving 23.19, an improvement of 1.87 based on TEST BLEU-4.

Comparison of Abductor Hallucis Contractility between Regular and Flat Feet during SFE with SLSKB Test

  • Moon, Dong-Chul;Jung, Ju-Hyeon
    • PNF and Movement
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    • v.20 no.3
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    • pp.409-416
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    • 2022
  • Purpose: This study compared and analyzed the contractility of the abductor hallucis (AbdH), an intrinsic foot muscle, between flat feet and normal feet during a movement control test (single-leg small knee band test) using ultrasonography. Methods: A total of 23 subjects with (n = 11) and without (n = 12) flatfoot were included in the study. Each subject performed the short foot exercises (SFE) with a single-leg small knee bend (SLSKB) test, which is a functional movement. An ultrasound device was used to collect data regarding the changes in the contractility of the AbdH. Results: Intergroup comparison showed that dorsoplantar thickness was significantly reduced at baseline and during the SFE with SLSKB in the flatfoot group (p < 0.05). Intragroup comparison showed that the cross-sectional area significantly improved when the SFE was performed with SLSKB in the control group (p < 0.05). Conclusion: In this study, it was observed that the AbdH had inadequate contractility during the SLSKB test in subjects with flatfoot; therefore, it is important to train the contraction of the AbdH via functional movements during clinical interventions for subjects with flatfoot.

The Effect of Vision and Proprioception on Lumbar Movement Accuracy (시각과 고유수용성 감각이 요부 운동의 정확도에 미치는 영향)

  • Sim, Hyun-Po;Yoon, Hong-Il;Youn, I-Na
    • The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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    • v.13 no.2
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    • pp.31-44
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    • 2007
  • The purposes of this study were to examine the normal lumbar proprioception and identify the effect of vision and proprioception on lumbar movement accuracy through measuring a reposition error in visual and non-visual conditions and to provide the basic data for use of vision when rehabilitation program is applied. The subjects of this study were 39 healthy university students who have average physical activity level. They were measured the ability to reproduce the target position(50% of maximal range of motion) of flexion, extension, dominant and non-dominant side flexion in visual and non-visual conditions. Movement accuracy was assessed by reposition error(differences between intended and actual positions) that is calculated by the average of absolute value of 3 repeated measures at each directions. The data were analysed by paired samples t-test, independent samples t-test, and repeated measures ANOVA. The results were as follows : 1. Movement accuracy of flexion, extension, dominant side flexion, and non-dominant side flexion was increased in visual condition. 2. There were no differences in the lumbar movement accuracy between sexes in visual and non-visual conditions. 3. In non-visual condition, the movement in coronal plane(dominant and non dominant side flexion) is more accurate than that in sagittal plane(flexion and extension). 4. In non-visual condition, there were no differences in the lumbar movement accuracy between dominant and non-dominant side flexion. In conclusion, this study demonstrates that the movement is more accurate when the visual information input is available than proprioception is only available. When proprioception is decreased by injury or disease, it disturbs the control of posture and movement. In this case, human controls the posture and movement by using visual compensation. However it is impossible to prevent an injury or trauma because most of injuries occur in an unexpected situation. For this reason, it is important to improve the proprioception. Therefore, proprioceptive training or exercise which improve the ability to control of posture and movement is performed an appropriate control of permission or interception of the visual information input to prevent an excessive visual compensation.

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Interleukin-$1\beta$ levels in human gingiva1 crevicular fluid during orthodontic tooth movement (교정적 치아 이동 중 치은열구액의 Interleukin-$1\beta$의 발현)

  • Kim, In-Sook;Park, Young-Guk
    • The korean journal of orthodontics
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    • v.30 no.4 s.81
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    • pp.423-431
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    • 2000
  • Bone remodeling is a complex process regulated by various mediators. Cytokines are known to be associated with the mechanically induced response in orthodontic tooth movement. In particular, IL-$1\beta$ stimulates bone resorption and induces osteoclast proliferation. The purpose of this study was to identify and quantify IL-$1\beta$ in human gingival crevicular fluid(GCF), and to investigate the changes in its level during orthodontic tooth movement. Twelve patients(mean age of 19.2 years) were used as the subjects. An upper canine of each patient haying treatment lot distal movements served as the experimental tooth, whereas the contralateral was used as the control. The GCF of compression and tension side of the experimental teeth and the GCF of mesial side of control teeth was taken from the each subject immediately before activation, and at 1, 24, and 168 hr after initiation tooth movement. IL-$1\beta$ amount was detected by ELISA. The concentration of IL-$1\beta$ was higher in experimental group than in the control group after treatment. Its level was elevated after initiation of tooth movement and it was the highest level at 24 hr in compression side of experimental group. But there was no significant change in control group. The results indicate that the change in IL-$1\beta$ level in GCF is associated with orthodontic tooth movement.

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Hybrid HMM for Transitional Gesture Classification in Thai Sign Language Translation

  • Jaruwanawat, Arunee;Chotikakamthorn, Nopporn;Werapan, Worawit
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.1106-1110
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    • 2004
  • A human sign language is generally composed of both static and dynamic gestures. Each gesture is represented by a hand shape, its position, and hand movement (for a dynamic gesture). One of the problems found in automated sign language translation is on segmenting a hand movement that is part of a transitional movement from one hand gesture to another. This transitional gesture conveys no meaning, but serves as a connecting period between two consecutive gestures. Based on the observation that many dynamic gestures as appeared in Thai sign language dictionary are of quasi-periodic nature, a method was developed to differentiate between a (meaningful) dynamic gesture and a transitional movement. However, there are some meaningful dynamic gestures that are of non-periodic nature. Those gestures cannot be distinguished from a transitional movement by using the signal quasi-periodicity. This paper proposes a hybrid method using a combination of the periodicity-based gesture segmentation method with a HMM-based gesture classifier. The HMM classifier is used here to detect dynamic signs of non-periodic nature. Combined with the periodic-based gesture segmentation method, this hybrid scheme can be used to identify segments of a transitional movement. In addition, due to the use of quasi-periodic nature of many dynamic sign gestures, dimensionality of the HMM part of the proposed method is significantly reduced, resulting in computational saving as compared with a standard HMM-based method. Through experiment with real measurement, the proposed method's recognition performance is reported.

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A Study on the Change of a Formative Expression in the Restorative Fashion (복고풍 패션의 조형적 표현기법 변화에 관한 연구)

  • Lee, Eun-Sook;Chang, Geung-Hae
    • Journal of the Korea Fashion and Costume Design Association
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    • v.12 no.2
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    • pp.55-65
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    • 2010
  • The present study purposed to compare formative expression between the fashion of the end of 19th century - early 20th century and that of the 21st century which were influenced by art nouveau and art deco. For this purpose, we analyzed contents in literature, Internet, etc.,. According to the results of this study, the formative expression of art nouveau were divided into continuous movement, optical illusion and decorative expression. Continuous movement was used to express fancy and soft images in the end of 19th century, and to express images giving the feeling of speed and tension in the 21st century. Optical illusion was expressed by the movement the thin and soft materials with the body movement and the movement of excessive frills adornment. And in movement produced using thin and soft materials and by the bias cutting method in the 21st century. Decorative expression was expressed as fantasy and decadent image in the end of 19th century and as mild passionate and modern image with color combination in the 21st century. The formative expression of art deco were divided into visual simplicity, contrastive loudness, and functional expression. Visual simplicity was expressed as a boyish image in the early of 20th century, but as a complex expression combining simplicity and femininity in the 21st century. Contrastive loudness was expressed by using colors both in the early of 20th century and 21st century. Functional expression was reinforced through the lightening of design and materials in the early of 20th century, but through using bias cutting high tech materials in the 21st century.

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Sensitivity analysis of shoulder joint muscles by using the FEM model

  • Metan, Shriniwas.S.;Mohankumar, G.C.;Krishna, Prasad
    • Biomaterials and Biomechanics in Bioengineering
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    • v.3 no.2
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    • pp.115-127
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    • 2016
  • Shoulder pain, injury and discomfort are public health and economic issues world-wide. The function of these joints and the stresses developed during their movement is a major concern to the orthopedic surgeon to study precisely the injury mechanisms and thereby analyze the post-operative progress of the injury. Shoulder is one of the most critical joints in the human anatomy with maximum degrees of freedom. It mainly consists of the clavicle, scapula and humerus; the articulations linking them; and the muscles that move them. In order to understand the behavior of individual muscle during abduction arm movement, an attempt has been made to analyze the stresses developed in the shoulder muscles during abduction arm movement during the full range of motion by using the 3D FEM model. 3D scanning (ATOS III scanner) is used for the 3D shoulder joint cad model generation in CATIA V5. Muscles are added and then exported to the ANSYS APDL solver for stress analysis. Sensitivity Analysis is done for stress and strain behavior amongst different shoulder muscles; deltoid, supraspinatus, teres minor, infraspinatus, and subscapularies during adduction arm movement. During the individual deltoid muscle analysis, the von Mises stresses induced in deltoid muscle was maximum (4.2175 MPa) and in group muscle analysis it was (2.4127MPa) compared to other individual four rotor cuff muscles. The study confirmed that deltoid muscle is more sensitive muscle for the abduction arm movement during individual and group muscle analysis. The present work provides in depth information to the researchers and orthopedicians for the better understanding about the shoulder mechanism and the most stressed muscle during the abduction arm movement at different ROM. So during rehabilitation, the orthopedicians should focus on strengthening the deltoid muscles at earliest.