• Journal of The Korean Society of Integrative Medicine
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• v.9 no.4
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• pp.225-235
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• 2021

Purpose: Since coronavirus disease 2019 (COVID-19) spread around the world, non-face-to-face services have emerged as the new normal. The functioning of children with developmental disabilities and cerebral palsy improves when parents, therapists, and institutions cooperate. We aimed to investigate the difficult environment of pediatric physical therapy caused by COVID-19, and grasp parents' perceptions of home exercise programs. We intend to design home exercise programs for pediatric treatment in the future and create a non-face-to-face pediatric rehabilitation service system based on our findings. Methods: The first survey was conducted on 30 parents who had children with cerebral palsy and developmental disabilities. It was produced after consultation with relevant experts and discussion with the research team, based on a survey conducted in a previous study. The second survey was produced by revising and supplementing the opinions of parents who completed the first survey and consulting experts. Thereafter, an online survey was conducted on 118 parents who had children with cerebral palsy and developmental disabilities. Results: 61.01 % of the parents reported that they were anxious or afraid for their children to be treated for infectious diseases. 83.90 % of the parents reported that the role of parents had increased. 50.00 % of the parents complained of a lack of skill. 85.59 % of the parents reported that they needed a home exercise program provided by the organization. As a non-face-to-face exercise management method, 35.59 % of the parents wanted a real-time video recording electronically mailed to them, and 34.75 % wanted real-time education using video conferencing programs such as zoom. Conclusion: The threat of COVID-19 has further emphasized the importance of social cooperation and management, leading organizations to enter a new era of non-face-to-face rehabilitation services. It is necessary to collect and systematize related studies to reflect more diverse opinions and improve the perceptions of therapists and parents.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.27-35
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• 2022

This study aims to provide an industry-university cooperation cap in a non-face-to-face environment so that sharing and cooperation between universities can be shared based on the advanced digital technology between various universities at a time when it is rapidly changing to an online mode. It is in developing the stone design course. To this end, we analyzed the literature and previous studies on non-face-to-face environments and capstone design, developed a model for industrial-educational collaboration-type capstone design subjects in non-face-to-face environments, and suggested an application plan. The wearable capstone design program was pilot-applied, and the effectiveness was confirmed and corrected through the students' interview and questionnaire. This can be used as an industrial-educational cooperation engineering class capstone design class plan, providing basic data for development and operation, and as a step-by-step operation guide in a non-face-to-face environment.

• Journal of Practical Engineering Education
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• v.15 no.1
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• pp.39-44
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• 2023

With the development of e-learning teaching methods, the demand for blended learning, which combines face-to-face education and e-learning, is increasing, and it shows a learning effect that can replace the existing face-to-face class. Engineering subjects have various learning activities such as practice, so it is not easy to operate them with traditional blended learning. Therefore, a different teaching and learning design is required according to the learning activities required for the subject. In this paper, examples of teaching method design and operation for blended learning in engineering subjects were introduced, and their effects investigated and analyzed. Learning activities were subdivided into theoretical classes, practical classes, quizzes and Q&A, assignments and solutions, and teaching and learning methods such as online videos, LMS utilization, and face-to-face classes were applied according to learning activities. According to the results of the student satisfaction survey, blended learning showed higher satisfaction than pure online and face-to-face classes in engineering subjects, and showed differentiated satisfaction for each learning activity.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.2_2
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• pp.425-435
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• 2024

The purpose of this study was to identify factors influencing learning satisfaction of nursing students in online non-face-to-face classes during COVID-19 pandemic. 138 undergraduate nursing students were recruited from C nursing colleges of C city in Gyungnam. Data was collected using a self-reported online-questionnaire from 5 January to 18 January, 2022. Collected data were analyzed by SPSS/WIN 27.0 program using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression. Factor influencing learning satisfaction among undergraduate nursing students on online non-face-to-face classes during COVID-19 pandemic were teaching presence(presence of teacher)(𝛽=.43, p<.001), instructional quality(content qualities)(𝛽=.41, p<.001), Satisfaction of nursing major(satisfaction)(𝛽=.13, p<.001). instructional quality(interface)(𝛽=.12, p=.036), which explained about 85.3% of total variance(F=192.78, p<.001). Therefore, in order to improve class satisfaction in online non-face-to-face classes, it is necessary to operate classes that prioritize the presence of teacher so that learners can recognize and trust the presence of teacher by passionately professional performing. And, among instructional quality, we should be strengthen the usefulness of learning materials, content factors related to tests and assignments, and strive to improve satisfaction of nursing major. In addition, it is necessary to prepare and operate classes that fully consider the interface factors related to the manual composition and system convenience for online classes among the quality factors of classes.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.1
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• pp.35-43
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• 2010

1D PCA utilized in the face appearance-based face recognition methods such as eigenface-based face recognition method may lead to less face representative power and more computational cost due to the resulting 1D face appearance data vector of high dimensionality. To resolve such problems of 1D PCA, 2D PCA-based face recognition methods had been developed. However, the face representation model obtained by direct application of 2D PCA to a face image set includes both face common features and face distinctive identity features. Face common features not only prevent face recognizability but also cause more computational cost. In this paper, we first develope a model of a face distinctive identity feature subspace separated from the effects of face common features in the face feature space obtained by application of 2D PCA analysis. Then, a novel robust face recognition based on the face distinctive identity feature subspace model is proposed. The proposed face recognition method based on the face distinctive identity feature subspace shows better performance than the conventional PCA-based methods (1D PCA-based one and 2D PCA-based one) with respect to recognition rate and processing time since it depends only on the face distinctive identity features. This is verified through various experiments using Yale A and IMM face database consisting of face images with various face poses under various illumination conditions.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.4
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• pp.45-50
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• 2004

In this paper, we propose a new PCA-based LDA Mixture Algorithm(PLMA) for real-time face recognition system. This system greatly consists of the two parts: 1) face extraction part; 2) face recognition part. In the face extraction part we applied subtraction image, color filtering, eyes and mouth region detection, and normalization method, and in the face recognition part we used the method mixing PCA and LDA in extracted face candidate region images. The existing recognition system using only PCA showed low recognition rates, and it is hard in the recognition system using only LDA to apply LDA to the input images as it is when the number of image pixels ire small as compared with the training set. To overcome these shortcomings, we reduced dimension as we apply PCA to the normalized images, and apply LDA to the compressed images, therefore it is possible for us to do real-time recognition, and we are also capable of improving recognition rates. We have experimented using self-organized DAUface database to evaluate the performance of the proposed system. The experimental results show that the proposed method outperform PCA, LDA and ICA method within the framework of recognition accuracy.

• The KIPS Transactions:PartB
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• v.13B no.3 s.106
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• pp.283-294
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• 2006

In this paper, we propose a real-time face detection/tracking methodology with Haar wavelets and skin color. The proposed method boosts face detection and face tracking performance by combining skin color and Haar wavelets in an efficient way. The proposed method resolves the problem such as rotation and occlusion due to the characteristic of the condensation algorithm based on sampling despite it uses same features in both detection and tracking. In particular, it can be applied to a variety of applications such as face recognition and facial expression recognition which need an exact position and size of face since it not only keeps track of the position of a face, but also covers the size variation. Our test results show that our method performs well even in a complex background, a scene with varying face orientation and so on.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.49 no.2
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• pp.61-74
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• 2012

In this paper, we propose a illumination-robust face recognition system using MCS-LBP and 2D-PCA algorithm. A binary pattern transform which has been used in the field of the face recognition and facial expression, has a characteristic of robust to illumination. Thus, this paper propose MCS-LBP which is more robust to illumination than previous LBP, and face recognition system fusing 2D-PCA algorithm. The performance evaluation of proposed system was performed by using various binary pattern images and well-known face recognition features such as PCA, LDA, 2D-PCA and ULBP histogram of gabor images. In the process of performance evaluation, we used a YaleB face database, an extended YaleB face database, and a CMU-PIE face database that are constructed under varying lighting condition, and the proposed system which consists of MCS-LBP image and 2D-PCA feature show the best recognition accuracy.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.9
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• pp.1319-1324
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• 2013

The mean shift algorithm has achieved considerable success in object tracking due to its simplicity and robustness. It finds local minima of a similarity measure between the color histograms or kernel density estimates of the target and candidate image. However, it is sensitive to the noises due to objects or background having similar color distributions. In addition, occlusion by another object often causes a face region to change in size and position although a face region is a critical clue to perform face recognition or compute face orientation. We assume that depth and color are effective to separate a face from a background and a face from objects, respectively. From the assumption we devised a bilateral filter using color and depth and incorporate it into the mean-shift algorithm. We demonstrated the proposed method by some experiments.

• Journal of Sasang Constitutional Medicine
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• v.20 no.3
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• pp.58-69
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• 2008

1. Objective This research looks into the facial characteristics of Sasang constitution. 2. Methods It assigns and measures the length of nine areas of the face using a picture, and calculates the proportions and gives statistical data of these items. It also references the proportion of the items using the contents of "Sanghakjinjeon" ("相學眞傳") Ten face-types as a basis, divides the face into seven types, looks into the similarities between constitutions, and also compares it to clinically and frequently used constitutional facial characteristics. 3. Results and Conclusion After comparing the analytical items between Taeumins, Soyangins, and Soeumins, Soeumins had an oval face due to the fact that the length and width that their lower faces took up was small compared to the entire face. After dividing the facial characteristics of the test subjects using 十字相, there were significantly more Taeumins in Dong(同)_face-type, and Soeumins in Won(圓)_face-type. There weren't any significant group that Soyangins showed up in. After comparing these facial characteristics with that of previous facial characteristics found in books and used clinically, we were able to find corresponding items.