• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.97-108
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• 2022

The video-assisted human action recognition [1] field is one of the most active ones in computer vision research. Since the depth data [2] obtained by Kinect cameras has more benefits than traditional RGB data, research on human action detection has recently increased because of the Kinect camera. We conducted a systematic study of strategies for recognizing human activity based on deep data in this article. All methods are grouped into deep map tactics and skeleton tactics. A comparison of some of the more traditional strategies is also covered. We then examined the specifics of different depth behavior databases and provided a straightforward distinction between them. We address the advantages and disadvantages of depth and skeleton-based techniques in this discussion.

• Journal of Korea Multimedia Society
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• v.25 no.4
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• pp.575-582
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• 2022

In the manufacturing environment, research to minimize robot collisions with human beings have been widespread, but in order to interact with robots, it is important to precisely recognize and predict human actions. In this research, after enhancing performance by applying group normalization to the Hourglass model to detect the operator motion, the skeleton was estimated and data were created using this model. And then, three types of operator's movements were recognized using LSTM. As results of the experiment, the accuracy was enhanced by 1% using group normalization, and the recognition accuracy was 99.6%.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.419-420
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• 2022

This paper presents a method that allows users to interactively register their own gestures for a motion-based game system. Existing motion-based game systems create recognizers by collecting predefined gesture data. However, this sometimes requires difficult expertise or rather difficult courses. To alleviate these complex situations, we propose a full-body skeleton-based game system that can interactively register gestures.

• Communications for Statistical Applications and Methods
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• v.30 no.6
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• pp.551-560
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• 2023

Recently, there has been significant research into the recognition of human activities using three-dimensional sequential skeleton data captured by the Kinect depth sensor. Many of these studies employ deep learning models. This study introduces a novel feature selection method for this data and analyzes it using machine learning models. Due to the high-dimensional nature of the original Kinect data, effective feature extraction methods are required to address the classification challenge. In this research, we propose using the first four moments as predictors to represent the distribution of joint sequences and evaluate their effectiveness using two datasets: The exergame dataset, consisting of three activities, and the MSR daily activity dataset, composed of ten activities. The results show that the accuracy of our approach outperforms existing methods on average across different classifiers.

• Journal of Chest Surgery
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• v.34 no.7
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• pp.561-565
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• 2001

Patients who have complex endocarditis with involvement of both the aortic and mitral valves and intervalvular fibrous skeleton are among the most difficult to treat and still have the highest surgical mortality and morbidity rates. We report one case of aortic and mitral valve replacement with reconstruction of the fibrous skeleton performed in a 55-year-old female patient who had an aortic annular abscess and both the aortic and mitral prosthetic valve endocarditis with destruction of the fibrous skeleton. Previously, she had undergone redo double valve replacement\`, Transesophageal echocardiogram showed the paravalvular defect at the noncoronary aortic sinus and abnormal sinus tract along the fibrous skeleton. Emergent operation was performed due to positive blood cultures of staphylococcus epidermidis and persistent sepsis despite appropriate antibiotic therapy. After aortotomy extended to the roof of left atrium, both prosthetic valves and destroyed fibrous skeleton were completely resected and the aortic annular abscess was debrided and closed with a bovine pericardial patch. Reconstructions of both aortic and mitral annuli and the fibrous skeleton were done by using two separate bovine pericardial patches in triangular shape and mechanical valves were implanted. Postoperatively, adequate antibiotic therapies were continued and the patient was discharged at the postoperative 72 days without evidence of recurrence of endocarditis. Transthoracic echocardiogram of the postoperative 8 months shows no paravalvular leakage or recurrence of endocarditis and the patient has been followed up with no symptom.

• Proceedings of the IEEK Conference
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• 1998.10a
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• pp.915-918
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• 1998

Region based coding consistsof image segmentation contour and texture coding. Contour coding techniques can be classified into contour or shape-oriented approaches. In this paper, geodesic skeleton based on shape-oriented approach is used for contour coding. Efficient application of geodesic skeleton for contour coding based on the characteristics of regions in segmented image will be discussed.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.05a
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• pp.1383-1384
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• 2010

• Proceedings of the KIEE Conference
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• 2005.07d
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• pp.2790-2792
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• 2005

This paper proposes a path-planning algorithm that enables a robot to reach the goal position while avoiding obstacles. The proposed method, which is based on dynamic programming, finds an optimum path to follow using a modified skeleton map method which exploits information on obstacle positions. Simulation results show the feasibility of the proposed method.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.33B no.2
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• pp.111-117
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• 1996

In tis paper, a new morphological algorihtm for binary image reconstruction from graayscale skeleton is proposed. In the proposed algorithm, grayscale morphological dilation is utilizedm instead of binary morphological operatons for the conventional methods. The algorithm is proven mathematically and verified by computer simulation results.

• Korean Journal of Pharmacognosy
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• v.4 no.2
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• pp.63-65
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• 1973

A component, $C_{20}H_{32}O_3$, m.p. $207.5^{\circ}$, was isolated from Siegesbeckia pubescens $M_{AKINO}$. This compound was identified as $17-hydroxy-16{\beta}-(-)-kauran-19-oic\;acid$, using spectroscopies and synthesizing various derivatives of the compound.