• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.47 no.5
• /
• pp.1-9
• /
• 2010

Generally, dynamic hand gesture recognition is formed through preprocessing step, hand tracking step and hand shape detection step. In this paper, we present advanced dynamic hand gesture recognizing method that improves performance in preprocessing step and hand shape detection step. In preprocessing step, we remove noise fast by using dynamic table and detect skin color exactly on complex background for controling skin color range in skin color detection method using YCbCr color space. Especially, we increase recognizing speed in hand shape detection step through detecting Start Image and Stop Image, that are elements of dynamic hand gesture recognizing, using Guideline. Guideline is edge of input hand image and hand shape for comparing. We perform various experiments with nine web-cam video clips that are separated to complex background and simple background for dynamic hand gesture recognition method in the paper. The result of experiment shows similar recognition ratio but high recognition speed, low cpu usage, low memory usage than recognition method using learning exercise.

• Journal of Intelligence and Information Systems
• /
• v.16 no.2
• /
• pp.95-108
• /
• 2010

In this paper, we present a hybrid neural network model for dynamic hand gesture recognition. The model consists of two modules, feature extraction module and pattern classification module. We first propose a modified CNN(convolutional Neural Network) a pattern recognition model for the feature extraction module. Then we introduce a weighted fuzzy min-max(WFMM) neural network for the pattern classification module. The data representation proposed in this research is a spatiotemporal template which is based on the motion information of the target object. To minimize the influence caused by the spatial and temporal variation of the feature points, we extend the receptive field of the CNN model to a three-dimensional structure. We discuss the learning capability of the WFMM neural networks in which the weight concept is added to represent the frequency factor in training pattern set. The model can overcome the performance degradation which may be caused by the hyperbox contraction process of conventional FMM neural networks. From the experimental results of human action recognition and dynamic hand gesture recognition for remote-control electric home appliances, the validity of the proposed models is discussed.

• Korean Chemical Engineering Research
• /
• v.62 no.1
• /
• pp.118-124
• /
• 2024

A neural network is utilized for preprocessing of de-noizing in electrocardiogram signals, retinal images, seismic waves, etc. However, the de-noizing process could provoke increase of computational time and distortion of the original signals. In this study, we investigated a neural network architecture to analyze measurement data without additional de-noizing process. From the dynamical behaviors of DNA in aqueous solution, our neural network model aimed to predict the mole fraction of each DNA in the solution. By adding white noise to the dynamics data of DNA artificially, we investigated the effect of the noise to neural network's predictions. As a result, our model was able to predict the DNA mole fraction with an error of O(0.01) when signal-to-noise ratio was O(1). This work can be applied as a efficient artificial intelligence methodology for analyzing DNA related to genetic disease or cancer cells which would be sensitive to background measuring noise.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.4
• /
• pp.65-70
• /
• 2024

As various digital educational contents for students with disabilities are spreading, a teaching support system for smart education and a utilization plan that takes into account the characteristics of each type of disability must be established. Accordingly, this study analyzed classes using digital content focusing on the case of a special school for the physically disabled and proposed ways to apply the teaching and learning content to the field and improve the support system. Class cases at a special school in Seoul were purposively sampled and analyzed using class video data, class reflection sheets, and in-depth interviews with teachers. Based on the case analysis results, a plan was presented to effectively utilize digital content in special education settings by reflecting the characteristics of students with physical disabilities. A follow-up study was proposed based on the results of this study.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.5
• /
• pp.150-166
• /
• 2020

Based on the theory of cognitive reserve, we undertook this study to develop a cognitive function training program for woman in menopausal transition with complaints of declining in cognitive function. The program was established by applying the analysis, design, and development stages of the network-based instructional system designed by Jung. The cognitive function training program developed by us is an was an 8-week program composed of cognitive and video training using a mobile application. The program consists of 24 sessions, each with 20-30 minutes of duration, to be completed 3 sessions per week. The contents of the cognitive function training comprise of memory, attention, language function, and scenario-based problem-solving for executive functions, all of which are cognitive areas found to be the most vulnerable for menopausal women. The educational contents were developed for eight subject areas, one subject area per week, including the definition of menopause, its causes and symptoms, menopause and brain function, etc. During the pilot test, the cognitive function training program was applied to 10 menopausal women who complained of cognitive function decline. The results indicated that, after eight weeks of training, the overall cognitive function of participants increased, revealing statistically significant differences (t=-3.04, p=.014) after the program was completed. The mobile app-based cognitive function training program might not only improve patients' memory functions but also potentially reduce the incidence of dementia.

• Journal of The Korean Association For Science Education
• /
• v.33 no.4
• /
• pp.763-777
• /
• 2013

This is a case study on two schools practising integrated science education (hereafter ISE). The purposes of this study are to investigate the types and features of ISE in the schools actively practising ISE, to identify the contextual factors of the schools, and to give implications for implementing ISE in schools. This study investigated the contextual factors in practicing ISE with a focus on the two schools, a middle school in Gyeonggi-do and a high school in Busan. They were breaking down the boundaries among teaching subjects and providing student-oriented instruction with problems in the real world. The data were collected by observing classes, by interviewing teachers, and by reviewing school documents and students' reports. The research findings are as follows: first, the two schools took part in ISE actively. They teach science to students providing integrated experiences mainly by using interdisciplinary knowledge and/or by solving the problems pertaining to the real world. While the former integrated subjects centering on topics, the latter focused on a project-based learning driven by students. They have differences in regard to the role of teachers and students, the level of integration and the type of integration. Second, the contextual factors that enabled ISE to be implemented there were found. The previous studies revealed six contextual factors in practising ISE: small and stable learning environment, leadership, team activities, in-school planning time, flexible timetable and community links. This study also found similar factors. However, the cases of this study provided ISE on a large scale and in a short period of time, instead of a small and stable learning environment. Teachers viewed the process of ISE not only as a tool to overcome the conservative culture of teachers but also as a pursuit of innovation.

• Journal of the Korean School Mathematics Society
• /
• v.24 no.1
• /
• pp.83-105
• /
• 2021

In this paper, we analyzed the misconceptions and errors incurred during factorization learning. We also examined whether online individualization classes had a positive effect on students' mathematical achievement. The experiment was conducted for 4 weeks (16 times in total) on middle school juniors in rural areas of Gyeonggi Province, where the influence of private extra education was small. In the class, the 'Google Classroom' was used as a LMS, the video lecture was uploaded to YouTube, and the teacher interacted with the students through "Zoom" and "Facetalk". In the online class situation, students' assignments and test answers were checked in real time through 'Google Classroom', and immediate feedback was provided to the experimental class group's students. However, for the control group students, feedback was provided only to those who desired. A total of 7 achievement evaluations were conducted in the order of pre-test, formative evaluation (5 times), and post-test to confirm the change in students' ability improvement and achievement. Through the formative evaluation analysis, it was possible to grasp the types of errors and misconceptions that occured during the factorization process. Students' errors were divided into four types: theorem or definition distortion error, functional errors such as calculation, operation, and manipulation, errors that do not verify the solution, and no response. As a result of ANCOVA, the two groups did not show any difference from the 1st to 4th formative assessment. However, the 5th formative assessment and post-test showed statistically significant differences, confirming that online individualization classes contributed to improvemed achievement.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.3
• /
• pp.179-185
• /
• 2021

We performed to explore the applicability of protocol to improve the curriculum literacy for special education pre-teachers. For this, protocol of Park et al (2018), which can be used in the educational field, was partially modified and applied to enhance the special education curriculum expertise of pre-teachers. The literacy protocol of the special education curriculum was applied as Protocols 1 and 2, and Protocol 1 was focused on adaptation the 2015 special education curriculum and understanding literacy. Protocol 2 consisted of reorganizing the subject level centering on the five subjects presented in the special education curriculum, and establishing an integrated theme setting and reorganization plan. We applied the research design during a total of 15 weeks of special education curriculum subjects. The class format was flipped learning (e.g, pre-video lectures, theory lectures (E-Sheets), and learner-led activities (W-Sheets) for each topic was carried out. We found that pre-teachers' thought that the academic achievement and satisfaction of students with disabilities could be increased by adaptation the curriculum. Pre-teachers reported that the experience of reorganizing each subject/intersection helped improve their literacy but found it difficult.

• Journal of the Korean Society of Earth Science Education
• /
• v.14 no.3
• /
• pp.257-266
• /
• 2021

This study investigated the understanding of pre-service teachers in relation to the 'fog experiment' in the 5th grade 'Weather and Our Daily Life' unit of the 2009 and 2015 revised elementary school science textbooks. Pre-service teachers who participated in this study were 100 students, who are attending the university of education and taking courses in teaching research. After pre-learning about the 2009 and 2015 revised elementary school science textbooks and guide book, pre-service teachers conducted the experiment in groups. After that, the pre-service teachers individually presented answers to three questions, and the results of analyzing the answers are as follows. First, there were 24 (24%) preservice teachers who explained the difference in fog generation in the 2009 and 2015 revised curriculum with related scientific concepts such as condensation and water vapor, and only 1 (1%) of them explained the difference using the concept of saturation. Second, there were 48 (48%) pre-service teachers who found out the reason for the change in the fog experiment method according to the change in the curriculum. Third, pre-service teachers valued the reproduction and success of experiments rather than the importance of scientific knowledge, and such pre-service teachers suggested the use of alternative experiments or website.

• Journal of Korean Elementary Science Education
• /
• v.41 no.3
• /
• pp.569-591
• /
• 2022

This study aims to investigate the educational effects of the visualization of heat conduction using a thermal imaging camera on elementary school students through small group activities. It endeavors to explain the reason for why metal feels cold. The scholars conducted in-depth interviews before and after learning the unit "Temperature and Heat" for four students in fifth grade in Seoul. Recorded video and audio materials of the activities, their outputs, and journals of scholars were collected, reviewed, and analyzed. The result demonstrated that visualizing heat conduction using the thermal imaging camera aroused curiosity and provided an opportunity for sophisticated observation and integrated thinking. In addition, the visualization of the heat conduction phenomenon was used as the basis for interpretation and rebuttal for active communication during the small group activities of the students. Consequently, the students changed their non-scientific beliefs, refined their knowledge, and developed their mental models through a small group discussion based on a thermal image video.