• Transactions of the Korean Society of Mechanical Engineers A
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• v.41 no.4
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• pp.329-332
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• 2017

In this study, a performance evaluation was carried out to develop a new add-on device with an algorithm for automatically measuring the exercise weight and repetitions when using an existing fitness machine. The developed device was designed to be simply attached to an exercise machine to measure the exercise weight and repetitions. The measured data are transferred to a smartphone using Bluetooth. As result, it is possible to detect the weights and repetitions from three users with different exercise habits with little error. The system can measure the user's motion and transfer the data to various devices capable of utilizing the workout data, giving it the advantage of being applicable to personalized health care and rehabilitation therapy.

• Journal of Convergence for Information Technology
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• v.9 no.10
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• pp.254-263
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• 2019

This study was designed to understand the Education recognition, satisfaction, and job preferences of college students majoring in beauty through the DISC behavior type, and to be used as customized career and beauty education data considering individual tendencies through the DISC behaviour type. From September 20 to October 11, 2017, the final questionnaire was analyzed for students of beauty education who lived in South Chungnam Province and Gyeonggi Province. Significant differences in the Education recognition and job preferences of the study participants were shown, followed by D, I, S, and C, and were found to be satisfactory for their majors. Through this study, it is believed that it will be possible to identify the Education recognition, satisfaction and job preferences of college students in beauty education and use them as basic data that can help them decide their career path after beauty education.

• Journal of Convergence for Information Technology
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• v.9 no.11
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• pp.189-195
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• 2019

This study is to investigate the effects of demographic characteristics and lifestyles on obesity in the community. The nurse measured the obesity level of 143 residents living in one apartment in Seoul, Korea. Demographics and lifestyles were analyzed by frequency and percentage and obesity level was analyzed by logistic regression analysis. In particular, as the age increases, the probability of obesity increases by 1.109 times. These results show that the development and application of community health promotion programs for obesity are important. Through this study, we discovered that obesity is significantly related to the demographic characteristics and lifestyles of the individual. And also, it is expected that these findings will be used as the basic information to plan a tailored obesity program taking into account local community environment and personal characteristics.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.113-121
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• 2020

With the rapid development of information and communication technology (ICT), various sensors are being embedded in wearable devices. Consequently, these devices can continuously collect data including health data from individuals. The collected health data can be used not only for healthcare services but also for analyzing an individual's lifestyle by combining with other external data. This helps in making an individual's life more convenient and healthier. However, collecting health data may lead to privacy issues since the data is personal, and can reveal sensitive insights about the individual. Thus, in this paper, we present a method to collect an individual's health data from a smart band in a privacy-preserving manner. We leverage the local differential privacy to achieve our goal. Additionally, we propose a way to find feature points from health data. This allows for an effective trade-off between the degree of privacy and accuracy. We carry out experiments to demonstrate the effectiveness of our proposed approach and the results show that, with the proposed method, the error rate can be reduced upto 77%.

• Journal of Korea Game Society
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• v.19 no.1
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• pp.25-36
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• 2019

Outdoor play for young children can promote the development of physical development, emotional development, and creativity development. However, due to safety accidents that occur in outdoor play, outdoor play is not progressed sufficiently. In this paper, we have developed smart functional educational games for AR education which can be easily used in early childhood education. In order to maximize the educational effect of the developed game and to provide customized education on the field, we conducted a focus group interview with a group of in - service child care teachers in the game design stage. Through this, we developed a functional game with AR system and verified the educational effect.

• Journal of Dental Rehabilitation and Applied Science
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• v.36 no.4
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• pp.203-210
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• 2020

By facing the era of the 4th industrial revolution, personalized medical services for patients are expanding with the development of information and communications technology. With these changes, digital medical devices have begun to be used to support diagnosis, patient monitoring, and decision-making of diseases, and recently software medical devices for the purpose of preventing, managing, or treating disorders or diseases have become popular. The aim of this article is to understand the current concept and status of Software as a Medical Device (SaMD), which are actively being carried out in the United States, and to find out what fields can be applied in the future. In addition, it intends to find out the Korean domestic policy trends related to smart healthcare and find out the application of digital software as a medical devices that can be used in dental clinic to keep pace with the upcoming changes in the medical field.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.571-576
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• 2021

This study was carried out to overcome the problems of the existing fitness business and to build a fitness system that can meet the increased demand in the Corona situation. As a platform technology for non-face-to-face fitness edutainment service, it is a next-generation fitness exercise device that can use various body parts and synchronize network-type information. By synchronizing the exercise information of the fitness equipment, it was composed of learning contents through MR-based avatars. A quantified result was derived from examining the applicability of the customized evaluation system through momentum analysis with A.I analysis applying the LSTM-based algorithm according to the cumulative exercise effect of the user. It is a motion capture and 3D visualization fitness program for the application of systematic exercise techniques through academic experts, and it is judged that it will contribute to the improvement of the user's fitness knowledge and exercise ability.

• Journal of Korean Academy of Nursing
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• v.52 no.5
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• pp.535-549
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• 2022

Purpose: The study aimed to design and develop an automated personalized self-care (APSC) program for patients with type 2 diabetes mellitus. The secondary aim was to present a clinical protocol as a mixed-method research to test the program effects. Methods: The APSC program was developed in the order of analysis, design, implementation, and evaluation according to the software development life cycle, and was guided by the self-regulatory theory. The content validity, heuristics, and usability of the program were verified by experts and patients with type 2 diabetes mellitus. Results: The APSC program was developed based on goal setting, education, monitoring, and feedback components corresponding to the phases of forethought, performance/volitional control, and self-reflection of self-regulatory theory. Using the mobile application, the participants are able to learn from educational materials, monitor their health behaviors, receive weekly-automated personalized goals and feedback messages, and use an automated conversation system to solve the problems related to self-care. The ongoing two-year study utilizes a mixed method design, with 180 patients having type 2 diabetes mellitus randomized to receive either the intervention or usual care. The participants will be reviewed for self-care self-efficacy, health behaviors, and health outcomes at 6, 12, 18, and 24 months. Participants in the intervention group will be interviewed about their experiences. Conclusion: The APSC program can serve as an effective tool for facilitating diabetes health behaviors by improving patients' self-care self-efficacy and self-regulation for self-care. However, the clinical effectiveness of this program requires further investigation.

• Korean Journal of Optics and Photonics
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• v.34 no.1
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• pp.13-21
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• 2023

We have investigated the acceptance angle and imaging performance of a curved artificial compound eye (ACE), depending on the sag height of the microlens array to maximize its sensitivity to light. When the h/r values increased from 0.22 to 0.37, the acceptance angle of the curved ACE was expanded from 28.70° to 49.02°, which is an enhancement by 70.8%. With the designed optical system, it was demonstrated that a microlens located at the 23rd position from the center of the main lens could still focus an incident beam tilted at 56.35°, so that the letter F was clearly observed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.329-331
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• 2021

Recently, as various cases of using deep learning in the health-care field are increasing, functions such as electrocardiogram examination and body composition analysis through wearable device can be provided to provide rational decision-making and a process tailored to the individual. In order to utilize deep learning, it it most important to secure refined data, and this data is being made through human intervention or unsupervised learning. In this paper, we propose a model that conducts unsupervised learning by clusters according to gender and age using human body data such as chest and waist circumferences, which are easy to measure, and classifies them with CNN. For data, the 7th human body data provided by Korean Agency for Technology and Standards was used. Through this, it it thought that it can be applied to various application cases such as personalized body shape management service and obesity analysis.