• Proceedings of the Korean Society of Computer Information Conference
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• 2010.07a
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• pp.83-86
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• 2010

본 논문은 영유아들의 컴퓨터 활용 실태를 알아보기 위하여 컴퓨터 사용 형황을 성별 및 연령별로 설문조사를 실시하였다. 연구 대상은 1세에서 7세의 영유아들로 김포시 K대학의 유아교육과 학생들이 직접 영유아 교육기관을 방문하여 영유아들을 직접 면담하면서 설문지를 작성하였다. 분석에 이용된 대상은 남아가 177명으로 46,8%, 여아가 201명으로 53.2% 총378명의 설문지를 사용하였으며 조사 결과 남아보다 여아가 한글 읽기와 쓰기, 숫자 활동, 외국어나 음악 미술 활동 등의 교육적 목적으로 활용하는 경우가 더 많았고 만화 영화나 게임, 인터넷 검색 등에서는 남아의 활용 비율이 더 높게 나타났다. 연령별로는 1-3세에서는 한글 읽기와 쓰기가 22명(51.2%)를 차지하였고 4-5세에서는 한글 읽기와 쓰기는 28명(28.3%), 그 다음이 게임으로 22명(22.2%)로 나타났고 6-7세에서는 한글 읽기와 쓰기가 54명(22.8%), 게임이 51명(21.6%)으로 비슷하게 나타났고 그 다음이 만화영화 보기로 47명(19.9%)로 나타났다.

• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.223-229
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• 2022

The emergence of smartphones is creating a faster and easier digital communication society along with the existing Internet. Among the various methods of communication, the smart notification is most often used in early childhood education institutions for information exchange between parents, teachers and directors. And the notification helps parents understand the development status and curriculum of infants more easily. Therefore, this paper developed an integrated infant management system based on a web-based platform and a mobile app platform for exchanging various information on infants management between directors, teachers and parents. Through the established system, the director, teachers, and parents can check the information they need at any time, and it is possible to provide a mobile service environment where multiple guardians can safely take care of one infant. In addition, multiple guardians can provide appropriate feedback information through the collection and analysis of various data by using the infant and toddler integrated management system. In the future, if the functions provided based on the smartphone app are configured according to the user, it is expected that it will be able to expand from daycare centers to educational institutions.

• The Journal of Korean Association of Computer Education
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• v.9 no.2
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• pp.57-67
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• 2006

The purpose of the research is to designing of web-based expert system in assessment, programming, evaluation for infants and young children with developmental disability. For this purpose, research articles such as curriculum-based assessment evaluation, web-based expert system, use of the computer technology in special education were analyzed. The design of web-based expert system for infants and young children with developmental disability connected with information analysis, optimum levels, data collection, data analysis, decision-making, and intervention.

• Journal of Korea Entertainment Industry Association
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• v.14 no.1
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• pp.51-59
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• 2020

Although social interest is high in relation to the provision of disease codes to games, it is still insufficient to identify the damages caused by games. The purpose of this study is to examine the research trends related to game using of preschoolers to understand the implications of the precedent researches. According to the purpose, the research period, contents, types, data collection, statistical analysis, research/investigation subjects, and academic fields of the precedent researches were examined. The subject were 69 articles published in Korea from 2010 to 2019. As a result, first, a large number of researches related to preschoolers' game using were conducted in 2010-2011, 2014-2016, and the number has decreased sharply since 2017. Second, the contents of the study were mainly about the negative influences of the game and the program development. Third, quantitative and qualitative researches were conducted evenly. Fourth, the data collection methods was mostly questionnaire and other survey methods, and statistical analysis was mostly descriptive statistics, difference verification, and regression analysis. Fifth, the study subjects were focused on preschoolers, and there were many indirect investigation through parents and teachers. Sixth, the academic fields were largely divided into educational and game fields, and there was a distinct difference in the trend of research topics between the fields. Based on the results, this study aimed to provide basic information and data that can be the basis for further research on the game using and to suggest directions for future research.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.293-298
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• 2020

The purpose of this study is to confirm the use of smartphones by children aged 3 to 5 years old and to propose a plan for prevention of overdependence. To this end, the data of 909 people aged 3 to 5 years old were used in the study from the raw data of the '2019 Smartphone Overdependence Survey' conducted by the National Information Society Agency. The research results are as follows : Infants aged 3 to 5 were using their smartphone for an average of more than an hour a day, it was found that smartphones were used in the order of video services and games, listening to music, educational contents and search services. Parents were found to be tolerant of their children's smartphone usage time and dependence. In particular, despite the fact that most infants and toddlers use smartphones to watch videos and use game content, they are not concerned. Therefore, parental education content for the use of smartphones by infants and toddlers needs to include comprehensive content on media use.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.481-483
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• 2023

본 논문에서는 다중 카메라환경에서의 안면인식 기반 영유아 활동 사진 자동 생성 시스템을 개발했다. 개발한 시스템은 어린이집에서 알림장 작성을 위한 촬영하는 동안 보육에 부주의하여 안전사고가 발생하는 것을 방지 할 수 있다. 시스템은 이동식 수집기와 분류 서버로 나뉘어 작동하게 된다. 이동식 수집기는 Raspberry Pi를 이용하였고 초당 1장 내외의 사진을 촬영하여 SAMBA를 사용 공유폴더에 저장한다. 분류 서버에서는 YOLOv5를 사용해 안면을 인식해 분류한다. OpenCV와 TensorFlow-Keras를 통해 분류된 사진에서의 표정을 파악하여 부모에게 전송할 웃는사진만을 분류하여 남겨둔다. 이외의 사진은 /dev/null로 이동하여 삭제된다.

• KIPS Transactions on Computer and Communication Systems
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• v.12 no.8
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• pp.235-242
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• 2023

In recent years, as online counseling for infants and adolescents has increased, CNN-based deep learning models are widely used as assistance tools for emotion recognition. However, since most emotion recognition models are trained on mainly adult data, there are performance restrictions to apply the model to infants and adolescents. In this paper, in order to analyze the performance constraints, the characteristics of facial expressions for emotional recognition of infants and adolescents compared to adults are analyzed through LIME method, one of the XAI techniques. In addition, the experiments are performed on the male and female groups to analyze the characteristics of gender-specific facial expressions. As a result, we describe age-specific and gender-specific experimental results based on the data distribution of the pre-training dataset of CNN models and highlight the importance of balanced learning data.

• Journal of the Institute of Convergence Signal Processing
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• v.21 no.4
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• pp.183-194
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• 2020

Recently, the number of hip dysplasia (DDH) that occurs during infant and child growth has been increasing. DDH should be detected and treated as early as possible because it hinders infant growth and causes many other side effects In this study, two modelling techniques were used for multiple training techniques. Based on the results after the first transformation, the training was designed to be possible even with a small amount of data. The vertical flip, rotation, width and height shift functions were used to improve the efficiency of the model. Adam optimization was applied for parameter learning with the learning parameter initially set at 2.0 x 10e-4. Training was stopped when the validation loss was at the minimum. respectively A novel image overlay system using 3D laser scanner and a non-rigid registration method is implemented and its accuracy is evaluated. By using the proposed system, we successfully related the preoperative images with an open organ in the operating room

• The Journal of the Acoustical Society of Korea
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• v.42 no.5
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• pp.460-468
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• 2023

Developmental Dysplasia of the Hip (DDH) is a pathological condition commonly occurring during the growth phase of infants. It acts as one of the factors that can disrupt an infant's growth and trigger potential complications. Therefore, it is critically important to detect and treat this condition early. The traditional diagnostic methods for DDH involve palpation techniques and diagnosis methods based on the detection of keypoints in the hip joint using X-ray or ultrasound imaging. However, there exist limitations in objectivity and productivity during keypoint detection in the hip joint. This study proposes a deep learning model-based keypoint detection method using X-ray and ultrasound imaging and analyzes the performance of keypoint detection using various deep learning models. Additionally, the study introduces and evaluates various data augmentation techniques to compensate the lack of medical data. This research demonstrated the highest keypoint detection performance when applying the residual network 152 (ResNet152) model with simple & complex augmentation techniques, with average Object Keypoint Similarity (OKS) of approximately 95.33 % and 81.21 % in X-ray and ultrasound images, respectively. These results demonstrate that the application of deep learning models to ultrasound and X-ray images to detect the keypoints in the hip joint could enhance the objectivity and productivity in DDH diagnosis.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.103-109
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• 2022

This significance of the infant care system has emerged due to sudden infant death during sleeping. This paper presented a design and implementation of a prototype model, which is a infant care device controlled by a smartphone using Bluetooth technology. Prototype Device Model consists of MCU(microcontroller unit), Accelerometer Sensor, Temperature Measuring Sensor, Sound Measuring Sensor, Bluetooth Module, and Camera Module. The proposed application transfers the information to the parent's smartphone and computers, such as infant's falling, crying, and fever detection. A test verified the availability of a prototype infant care system model using Bluetooth Low Energy with operating the low power driving.