• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.93-100
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• 2022

In this paper, we propose a mobile app for personalized rehabilitation exercise coaching and management service using an edge computing-based personalized exercise information collection system. The existing management method that relies on user input information has difficulty in examining the actual possibility of rehabilitation. In this paper, we implement an application that collects movement information along with body joint information through image information analysis based on edge computing at a remote location, measures the time and accuracy of the movement, and provides rehabilitation progress through correct posture information. In addition, in connection with the measurement equipment of the rehabilitation center, the health status can be managed, and the accuracy of exercise information and trend analysis information is provided. The results of this study will enable management and coaching according to self-rehabilitation exercises in a contactless environment.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.5
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• pp.927-934
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• 2023

With the recent growth of the companion animal market, various social issues related to companion animals have also come to the forefront. Notable problems include incidents of dog bites, the challenge of managing abandoned companion animals, euthanasia, animal abuse, and more. As potential solutions, a variety of training programs such as companion animal-focused broadcasts and educational apps are being offered. However, these options might not be very effective for novice caretakers who are uncertain about what to prioritize in training. While training apps that are relatively easy to access have been widely distributed, apps that allow users to directly engage in training and learn through hands-on experience are still insufficient. In this paper, we propose a more efficient AR-based mobile app for companion animal training, utilizing the Unity engine. The results of usability evaluations indicated increased user engagement due to the inclusion of elements that were previously absent. Moreover, training immersion was enhanced, leading to improved learning outcomes. With further development and subsequent verification and production, we anticipate that this app could become an effective training tool for novice caretakers planning to adopt companion animals, as well as for experienced caretakers.

• Journal of Internet of Things and Convergence
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• v.10 no.4
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• pp.35-41
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• 2024

Due to increasingly busy lifestyles, sleep time is gradually being reduced, leading to a growing interest in effective sleep methods. Traditional alarms that only ring at a set time can disrupt efficient sleep and increase fatigue. To solve this problem, a smart alarm system utilizing Raspberry Pi has been proposed. The proposed alarm not only rings at a preset time, like conventional alarms, but also helps by using an infrared sensor attached to the Raspberry Pi to detect the user's sleep onset time and calculate the optimal sleep duration, setting the alarm accordingly. Additionally, it allows for easy naps during the day by setting a fixed nap time. This Smart Alarm system was implemented using MIT App Inventor. The proposed Smart Alarm system is expected to contribute to more efficient sleep.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.24 no.3
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• pp.230-242
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• 2017

Purpose: The purpose of this study was to develop a self triage application for rescue requests by disaster vulnerable populations. Literature was reviewed in order to define application trends and needs. Methods: Development of the self triage application was conducted in six stages as a hybrid model (analysis, design, development, implementation, evaluation, modification) of the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model and Driscoll & Alexander model. Application system function and contents were tried with 6 experts and 4 people with hearing impairments. Results: Expert assessment of the application for self triage showed that reliability at 5 points was the highest, followed by utility at 4.8 points. Scores for quickness and expressiveness were low at 4.6 and 4.2 points respectively. User acceptability assessment of the application was measured at 66.73 points. Conclusion: The results show that the application for self triage is helpful to disaster vulnerable populations by providing relief in disaster situations. It is expected that use of this application as a self rescue ability can be made available for disaster situations. However, it will be necessary to establish policies for communication strategies with rescuers and public relations to improve the access rate of disaster app service.

• Journal of The Korean Association of Information Education
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• v.16 no.2
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• pp.223-231
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• 2012

Recently, We need a change of our education, Owing to trend of smart phone, approaching Digital Natives. We need some Teaching-Learning method, materials, softwares which realize Student-centered, Customized education more than E-learning, U-learning. Thus, In demand of This, This study will suggest a creative idea that how to design and produce smart-phone application which refers to 800 English words in elementary school recommended The Ministry of Education, Science, and Technology in Android Platform.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.170-171
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• 2015

At the present time it continues to be the smart device released has also been commercialization device accessories accordingly. Such accessories are getting great response to consumers in the form of an external device to a character commercialization design. However, these products are not useful in the functional aspects of using the external form of the device is concentrated only. This study documents the management app to give the game character acts on the application category grouping the ability to efficiently manage the smart device. Research method is to study the existing product released to find out how it works come from the smart device management side, The device app management features added to the game play will be produced based on them.

• The Journal of the Convergence on Culture Technology
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• v.3 no.1
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• pp.19-23
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• 2017

With the increase in the number of smart phone users, smart phones themselves are seeing progress in terms of available functions. Many applications, too, are being developed to increase convenience in daily life. This study issued a list of information on films that the user wishes to see, by using an XML parser to call news articles related to the films in question to the news site RSS. The Android App server was built using Ubuntu and the latest film information was provided through the board that was built. The menu was consisted in a manner so that when the information interested was clicked on, a more detailed set of information became available.

• Women's Health Nursing
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• v.24 no.1
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• pp.1-13
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• 2018

Purpose: To develop educational material about nutrition during antepartum period for women pregnant with twins by using smartphone applications. Methods: A series of steps according to ADDIE model, including Analysis, Design, Development, Implementation, and Evaluation were used to develop smartphone application of antepartum nutrition care for women pregnant with twins. Results: Based on experts' evaluation, the average score was $4.6{\pm}0.39$ in total. Content score was $4.7{\pm}0.40$. Interface design score was $4.5{\pm}0.55$. Content score was higher than interface design score. User evaluation was conducted in the form of interview. Results of interviews revealed that users generally responded positively to the accuracy, understanding, and objectivity for content items of the smartphone app. As for the evaluation of consistency for the evaluation item of interface design, users answered "ordinary" or "generally yes". For design suitability and accuracy of vocabulary, they answered 'generally suitable'. Conclusion: The smartphone app developed through this study is expected to aid antepartum care for women pregnant with twins. It will also contribute to health promotion of both pregnant women and twin fetus.

• Journal of Fashion Business
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• v.22 no.6
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• pp.83-93
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• 2018

The purpose of this research is to investigate the characteristics of big data-based fashion shopping (BDFS) application, perceived usefulness, and expectation confirmation that influence the continuous usage intention of BDFS application users based on the expectation-confirmation model. A survey was conducted with female consumers in their 20s, who are living in Seoul and Incheon area and have used BDFS applications, A total of 182 responses were used for the data analysis. Five hypotheses were proposed, and regression analyses were conducted to test those hypotheses. The results indicated that the users' perceived usefulness increased with the increase of accuracy and personalization characteristics of the app and the expectation confirmation. The result suggested that it is essential to provide accurate information for users to feel useful and to develop the personalized offerings and services which can be the biggest strength of the big-data based mobile fashion store. It was also found that continuous usage intention increases with increased perceived usefulness and expectation confirmation. This result suggests that expectations can play a critical role in perceiving the usefulness of BDFS applications and the user's expectation confirmation also significantly affected the users' continuous usage intention.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.55-62
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• 2022

A smart tourism chatbot is needed as a user interface to efficiently provide smart tourism services such as recommended travel products, tourist information, my travel itinerary, and tour guide service to tourists. We have been developed a smart tourism app and a smart tourism information system that provide smart tourism services to tourists. We also developed a smart tourism chatbot service consisting of khaiii morpheme analyzer, rule-based intention classification, and tourism information knowledge base using Neo4j graph database. In this paper, we develop the Korean and English smart tourism Name Entity (NE) datasets required for the development of the NER model using the pre-trained language models (PLMs) for the smart tourism chatbot system. We create the tourism information NER datasets by collecting source data through smart tourism app, visitJeju web of Jeju Tourism Organization (JTO), and web search, and preprocessing it using Korean and English tourism information Name Entity dictionaries. We perform training on the KoBERT-CRF NER model using the developed Korean and English tourism information NER datasets. The weight-averaged precision, recall, and f1 scores are 0.94, 0.92 and 0.94 on Korean and English tourism information NER datasets.