• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.147-148
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• 2019

최근 국민의 건강증진 및 질병관리 등에 대한 관심이 증가하면서 전문가들 또한 걷기 운동의 유효성을 강조하고 있다. 이에 따라 스마트 헬스케어와 관련된 기기 및 서비스에 대한 개발이 활발히 진행 중이다. 본 논문에서는 GPS와 비콘 센서를 이용한 환경에서 걷기운동과 미니게임 콘텐츠를 융합한 어플리케이션을 설계하고 구현한다. 이 콘텐츠는 특정 지역을 가상의 게임 맵으로 매칭하고 GPS센서와 리얼월드의 비콘을 블루투스 통신으로 인지하도록 하였으며 이를 통해 소모 칼로리 계산, 게임의 클리어 조건 등 핵심 시스템으로 사용한다. 본 연구를 통해 설계, 구현된 게임 콘텐츠는 이용자의 움직임을 정확히 측정할 수 있고 재미와 몰입감을 제공하여 지속적인 운동을 유도함으로써 운동효과가 향상됨을 확인할 수 있었다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.560-563
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• 2016

The changes in the medical and healthcare are started from the digital technology. The new field of digital healthcare has started fused with existing healthcare, medical technology, and digital technology. It can increase the service effect and reduce healthcare costs by applying ICT skills such as ICBM(Internet of Things, Cloud, Big data and Mobile), artificial intelligence, robotics, virtual, augmented reality, and wearable devices to healthcare services including healthcare, disease management. Recently there has been grafted an artificial intelligence technologies such as AlphaGo of Google and Watson of IBM onto the healthcare area. In this study, we analyze the main technology, ecosystem, platforms for digital healthcare, and lastly future changes in health care services and issues of digital healthcare.

• Journal of the Korea Society of Computer and Information
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• v.29 no.11
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• pp.251-258
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• 2024

In this paper, we propose a posture correction system using the Arduino FSR402 sensor and Skeleton Keypoint artificial intelligence model. In anticipation of the introduction of AI Digital Textbook (AIDT), which will be fully implemented from 2025 under the 2022 curriculum reform, the need for research to raise awareness of the risk of digital diseases among children and adolescents and to prevent them is emphasized. The proposed system learns the correct posture for each user based on their life log information and helps them maintain good posture by determining whether they are using a smart device correctly and guiding them. In particular, for children and adolescents who experience physical changes, it has the advantage of learning the changed body information from the Skeleton Keypoint artificial intelligence model to guide the appropriate posture, and it can be confirmed that the sensor's measurement value operates normally within the error range (average error 2.53%) in measuring the correct posture for each user.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.115-123
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• 2016

Aging is one of the major tasks that our country should resolve. To deal with aging problems, many countries have introduced various new concepts such as active aging, productive aging, and successful aging, well aging and anti-aging. This study suggests a new concept, digital aging, to tackle aging problems, and we use this concept to explore the new policy and policy areas for aged people. Since this concept is not well defined yet, this article focuses reviewing existing research literature. Instead of focusing the negative aspect of aging, this study investigates how to use the digital technology to build such images that the old man can be continuously learning, active and productive.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.323-325
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• 2021

With the recent revitalization of virtual reality and game industries, digital therapeutics for medical purposes are emerging. Digital therapeutics refer to sports-based therapeutics such as virtual reality contents and games that are effective in preventing, managing, and treating diseases, not drugs. Through this study, we plan and develop contents for healing and brain enhancement using virtual reality technology as a therapeutic digital therapy. Through this, it can help to improve the brain of children who are dependent on electronic devices in the digital age and rarely use their brains.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.12
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• pp.1826-1831
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• 2022

Rapid Aging Society demands the transformation of medical paradigm of diagnosis and treatment towards prevention and management. This paper explores the norm and development of digital health care, focusing on Busan Metropolitan City. Digital health care which combines new ICT technology and medical technology is predictive, preventive, personalized and participatory; and suggests alternative to solve the problem of demographic changes and increasing social cost of medical welfare. Community Health Center in Busan is unique one based in the minimum community of collecting data from self-leading health management. Digital transformation using basic health data and social information can build preventive care system in the community. Easy access leads community center to test bed of developing new technology, as a living lab. In order to use the newly developed goods and service effectively, user-participatory test is nicessary. Finally community nurse and activists can specify health-welfare converged service through digital transformation empowerment training.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.67-77
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• 2023

This study represents an innovative research conducted in the smart farm environment, developing a deep learning-based disease and pest detection model and applying it to the Intelligent Internet of Things (IoT) platform to explore new possibilities in the implementation of digital agricultural environments. The core of the research was the integration of the latest ImageNet models such as Pseudo-Labeling, RegNet, EfficientNet, and preprocessing methods to detect various diseases and pests in complex agricultural environments with high accuracy. To this end, ensemble learning techniques were applied to maximize the accuracy and stability of the model, and the model was evaluated using various performance indicators such as mean Average Precision (mAP), precision, recall, accuracy, and box loss. Additionally, the SHAP framework was utilized to gain a deeper understanding of the model's prediction criteria, making the decision-making process more transparent. This analysis provided significant insights into how the model considers various variables to detect diseases and pests.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.05a
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• pp.55-55
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• 2004

최근 전기 전자 장치의 사용이 급속하게 증가하고 있다. AC모터, 프린터, 디지털 컴퓨터, 계산기, 핸드폰 등과 같은 장비들은 많은 전자파를 방출하고 있다. 이러한 전자파에 노출로 암과 같은 질병이 발생할 수도 있다는 논란이 전 세계적으로 관심이 집중되고 있으며, 전자파에너지를 차패할 수 있는 재료 개발의 필요성이 절실히 요구되고 있는 실정이다. 일반적으로 금속과 합금이 전자파 차폐목적으로 사용되었다 그러나 이러한 재료들은 중량이 무겁고 가요성이 떨어지는 단점이 있다.(중략)

• Proceedings of the Optical Society of Korea Conference
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• 2003.07a
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• pp.78-79
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• 2003

설진(舌診)은 한의학에서 망진(望診)의 한 분야로, 환자의 설질(舌質)과 설태(舌苔)의 변화를 관찰함으로써 질병을 진찰하는 방법이다. 임상에서 설진은 의사들의 주관적인 지식과 경험에 의해서 결정되며, 광원이나 주변 환경의 밝기의 차와 같은 외부적인 요인에 의해서 영향을 받는다. 또한 진단의 결과들은 정량적으로 저장, 관리되고 있지 않다. 그러므로 설진의 조직적이고 정량적인 진단 표준을 제공하고, 객관적인 설 진단법을 구축하기 위해서 디지털화된 설진시스템의 개발이 필요하다. (중략)

• Journal of Digital Contents Society
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• v.14 no.4
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• pp.521-528
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• 2013

Recently the increasing numbers of cars and traffic jamming makes air pollution condition more severely. Especially high-density population area, in most big cities like Bejing and Seoul, can lead to lung illness and other diseases. In this study to decrease this kind of air pollution condition, a method of air pollution information transmission is proposed. For the transmission of air pollution and traffic control data, international standard technology, the TPEG is applied.