• Title/Summary/Keyword: skeleton

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CNN3D-Based Bus Passenger Prediction Model Using Skeleton Keypoints (Skeleton Keypoints를 활용한 CNN3D 기반의 버스 승객 승하차 예측모델)

  • Jang, Jin;Kim, Soo Hyung
    • Smart Media Journal
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    • v.11 no.3
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    • pp.90-101
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    • 2022
  • Buses are a popular means of transportation. As such, thorough preparation is needed for passenger safety management. However, the safety system is insufficient because there are accidents such as a death accident occurred when the bus departed without recognizing the elderly approaching to get on in 2018. There is a safety system that prevents pinching accidents through sensors on the back door stairs, but such a system does not prevent accidents that occur in the process of getting on and off like the above accident. If it is possible to predict the intention of bus passengers to get on and off, it will help to develop a safety system to prevent such accidents. However, studies predicting the intention of passengers to get on and off are insufficient. Therefore, in this paper, we propose a 1×1 CNN3D-based getting on and off intention prediction model using skeleton keypoints of passengers extracted from the camera image attached to the bus through UDP-Pose. The proposed model shows approximately 1~2% higher accuracy than the RNN and LSTM models in predicting passenger's getting on and off intentions.

Investigating the load-displacement restorative force model for steel slag self-stressing concrete-filled circular steel tubular columns

  • Feng Yu;Bo Xu;Chi Yao;Alei Dong;Yuan Fang
    • Steel and Composite Structures
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    • v.49 no.6
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    • pp.615-631
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    • 2023
  • To investigate the seismic behavior of steel slag self-stressing concrete-filled circular steel tubular (SSSCFCST) columns, 14 specimens were designed, namely, 10 SSSCFCST columns and four ordinary steel slag (SS) concrete (SSC)-filled circular steel tubular (SSCFCST) columns. Comparative tests were conducted under low reversed cyclic loading considering various parameters, such as the axial compression ratio, diameter-thickness ratio, shear-span ratio, and expansion ratio of SSC. The failure process of the specimens was observed, and hysteretic and skeleton curves were obtained. Next, the influence of these parameters on the hysteretic behavior of the SSSCFCST columns was analyzed. The self stress of SS considerably increased the bearing capacity and ductility of the specimens. Results indicated that specimens with a shear-span ratio of 1.83 exhibited compression bending failure, whereas those with shear-span ratios of 0.91 or 1.37 exhibited drum-shaped cracking failure. However, shear-bond failure occurred in the nonloading direction. The stiffness of the falling section of the specimens decreased with increasing shear-span ratio. The hysteretic curves exhibited a weak pinch phenomenon, and their shapes evolved from a full shuttle shape to a bow shape during loading. The skeleton curves of the specimens were nearly complete, progressing through elastic, elastoplastic, and plastic stages. Based on the experimental study and considering the effects of the SSC expansion rate, shear-span ratio, diameter-thickness ratio, and axial compression ratio on the seismic behavior, a peak displacement coefficient of 0.91 was introduced through regression analysis. A simplified method for calculating load-displacement skeleton curves was proposed and loading and unloading rules for SSSCFCST columns were provided. The load-displacement restorative force model of the specimens was established. These findings can serve as a guide for further research and practical application of SSSCFCST columns.

Research on Correlating Data Loading with User Experience (데이터 로딩과 사용자 경험의 상관관계 분석에 관한 연구)

  • In-sik Yun;Il-young Moon
    • Journal of Practical Engineering Education
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    • v.16 no.2
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    • pp.185-193
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    • 2024
  • With the advent of smartphones, people can access various information through the internet anytime and anywhere. Even in the vehicle environment, users can use the internet. Users interact with web and applications every day and get information. However, as the amount of data to be processed by the program increases, users inevitably receive a message to wait. User waiting is an inconvenient experience, but minimizing user waiting is the best way because there is time required for data processing. However, if the service processing time exceeds the expected time, users experience more severe boredom and pain. Therefore, various methods and researches are being conducted to alleviate the boredom of user waiting. The most commonly used method to alleviate user waiting boredom is loading. In this study, we investigated the effect of skeleton loading, the latest loading technique, on user waiting experience, and how attractive it is as a design technique in terms of UI compared to other loading techniques.

Two New Marine Sponges of the Genus Haliclona (Haplosclerida: Chalinidae) from Korea

  • Kang, Dong Won;Lee, Kyung Jin;Sim, Chung Ja
    • Animal Systematics, Evolution and Diversity
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    • v.29 no.1
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    • pp.51-55
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    • 2013
  • Two new marine sponges, Haliclona (Haliclona) tonggumiensis n. sp. and H. (Reniera) sinyeoensis n. sp., in the family Chalinidae were collected from Ulleungdo Island and Gageodo Island, Korea from 2007 to 2009. Haliclona (Haliclona) tonggumiensis n. sp. is similar to H. (H.) simulans (Johnston, 1842) in shape, but the former differs in its ectosomal skeleton structure and spicules' shape and size. The ectosomal skeleton of H. (H.) tonggumiensis n. sp. is absent, but that of H. (H.) simulans is very regularly arranged, and has tangential reticulation with oxea. The spicule shape of H. (H.) tonggumiensis n. sp. is slender, but that of H. (H.) simulans is short and cigar-shape. The new species have two sizes of oxea, but H. (H.) simulans has one size of oxea. Haliclona (Reniera) sinyeoensis n. sp. resembles H. (R.) tubifera (George and Wilson, 1919) in the growth form and choanosomal skeleton structure. However, the new species has two kinds of oxea in size, but H. (R.) tubifera has only one size.

A Cephalometric Analysis of Korean Adult Normal Occlusion (두부X-선 규격사진의 계측에 의한 한국인 성인 정상교합자의 악안면두개골격의 분석)

  • Lee, Ki-Soo;Chung, Kyu-Rhim
    • The korean journal of orthodontics
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    • v.17 no.2
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    • pp.199-213
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    • 1987
  • Upon analyzing the literature, it becomes apparent that norms for orthodontic diagnosis were from normal occlusion with pleasing face, and that the form and size of craniofacial skeleton were different between racial or ethnic groups. Therefore, this study was intended to establish Korean adult norms be useful for diagnosing the cases and to compare those to other ethnic or racial groups. Lateral cephalometric radiographs were taken of ninety-one Korean adults with normal occlusion showing pleasing face consisted in forty-three males and forty-eight females. The subjects ranged in age from seventeen to twenty-six years. The tracings involved measurements that were analyzed with a digitizer. The findings of this study can be summarized as follows, 1. Norms of Korean adult males, females, and combined sexes were established. 2 It was found that in the form and shape of craniofacial skeleton, there were no significant differences between males and females, but in the size males were larger than females 3. There were a great variation between ethnic or racial groups in the measurements of craniofacial skeleton 4 The size of Korean cranial base was smaller than the American Caucasian. 5 The maxilla and mandible of Korean were less protruded than those of the other ethnic groups 6 The dental pattern of Korean were more proclined than that of the American Caucasian and less protruded than that of the American Negro and the North Indian.

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Fall Detection Based on Human Skeleton Keypoints Using GRU

  • Kang, Yoon-Kyu;Kang, Hee-Yong;Weon, Dal-Soo
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.4
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    • pp.83-92
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    • 2020
  • A recent study to determine the fall is focused on analyzing fall motions using a recurrent neural network (RNN), and uses a deep learning approach to get good results for detecting human poses in 2D from a mono color image. In this paper, we investigated the improved detection method to estimate the position of the head and shoulder key points and the acceleration of position change using the skeletal key points information extracted using PoseNet from the image obtained from the 2D RGB low-cost camera, and to increase the accuracy of the fall judgment. In particular, we propose a fall detection method based on the characteristics of post-fall posture in the fall motion analysis method and on the velocity of human body skeleton key points change as well as the ratio change of body bounding box's width and height. The public data set was used to extract human skeletal features and to train deep learning, GRU, and as a result of an experiment to find a feature extraction method that can achieve high classification accuracy, the proposed method showed a 99.8% success rate in detecting falls more effectively than the conventional primitive skeletal data use method.

The Linear Discrepancy of a Fuzzy Poset

  • Cheong, Min-Seok;Chae, Gab-Byung;Kim, Sang-Mok
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.11 no.1
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    • pp.59-64
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    • 2011
  • In 2001, the notion of a fuzzy poset defined on a set X via a triplet (L, G, I) of functions with domain X ${\times}$ X and range [0, 1] satisfying a special condition L+G+I = 1 is introduced by J. Negger and Hee Sik Kim, where L is the 'less than' function, G is the 'greater than' function, and I is the 'incomparable to' function. Using this approach, we are able to define a special class of fuzzy posets, and define the 'skeleton' of a fuzzy poset in view of major relation. In this sense, we define the linear discrepancy of a fuzzy poset of size n as the minimum value of all maximum of I(x, y)${\mid}$f(x)-f(y)${\mid}$ for f ${\in}$ F and x, y ${\in}$ X with I(x, y) > $\frac{1}{2}$, where F is the set of all injective order-preserving maps from the fuzzy poset to the set of positive integers. We first show that the definition is well-defined. Then, it is shown that the optimality appears at the same injective order-preserving maps in both cases of a fuzzy poset and its skeleton if the linear discrepancy of a skeleton of a fuzzy poset is 1.

Shape Recognition Using Skeleton Image Based on Mathematical Morphology (수리형태론적 스켈리턴 영상을 이용한 형상인식)

  • Jang, Ju-Seok;Son, Yun-Gu
    • The Transactions of the Korea Information Processing Society
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    • v.3 no.4
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    • pp.883-898
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    • 1996
  • In this paper, we propose improved method to recognize the shape for enhancing the quality of the pattern recognition system by compressing the source images. In the proposed method, we reduced the data amount by skeletonizing the source images using mathematical morphology, and then matched patterns after accomplishing the translation and scale normalization, and rotation invariance on the transformed images. Through the scale normalization, it was possible for the shape recognition at minimum amount of the pixel by giving the weight to the skeleton pixel. As the source images was replaced by the skeleton images, it was possible to reduce the amount of data and computational loads dramatically, and so become much faster even with a smaller memory capacity. Through the experiment, we investigated the optimum scale factor and good result was proved when realizing the pattern recognition system.

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Extraction of Physical Contact in Elevator (엘리베이터 내의 신체적 접촉 장면 추출)

  • Shin, Seong-Yoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.12
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    • pp.2852-2857
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    • 2015
  • Assault and violence in the elevator is a crime that occurs most frequently. In particular, these days, is a phenomenon that occurs frequently, knowing that there is a CCTV camera. In this paper, we extract the phenomena of contact between people in the elevator. Many people ride the elevator does not cause these symptoms. However, this crime occurs when fewer people ride the elevator. Extraction method of contact is seeking the skeleton of binary image and extracts the contact status of each skeleton. Therefore, immediately detecting the violence and assaults that occur in the elevator and to notify the security office of the building.

Interactive Typography System using Combined Corner and Contour Detection

  • Lim, Sooyeon;Kim, Sangwook
    • International Journal of Contents
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    • v.13 no.1
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    • pp.68-75
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    • 2017
  • Interactive Typography is a process where a user communicates by interacting with text and a moving factor. This research covers interactive typography using real-time response to a user's gesture. In order to form a language-independent system, preprocessing of entered text data presents image data. This preprocessing is followed by recognizing the image data and the setting interaction points. This is done using computer vision technology such as the Harris corner detector and contour detection. User interaction is achieved using skeleton information tracked by a depth camera. By synchronizing the user's skeleton information acquired by Kinect (a depth camera,) and the typography components (interaction points), all user gestures are linked with the typography in real time. An experiment was conducted, in both English and Korean, where users showed an 81% satisfaction level using an interactive typography system where text components showed discrete movements in accordance with the users' gestures. Through this experiment, it was possible to ascertain that sensibility varied depending on the size and the speed of the text and interactive alteration. The results show that interactive typography can potentially be an accurate communication tool, and not merely a uniform text transmission system.