• Title/Summary/Keyword: 건강 애플리케이션

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Deep-Learning-based smartphone application for automatic recognition of ingredients on curved containers (곡면 용기에 표시된 성분표 자동 인식을 위한 인공지능 기반 스마트폰 애플리케이션)

  • Hieyong Jeong;Choonsung Shin
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.6
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    • pp.29-43
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    • 2023
  • Consumers should look at the ingredients of cosmetics or food for their health and purchase them after checking whether they contain allergy-causing ingredients. Therefore, this paper aimed to develop an artificial intelligence-based smartphone application for automatically recognizing the ingredients displayed on a curved container and delivering it to consumers in an easy-to-understand manner. The app needs to allow consumers to immediately comprehend the restricted ingredients by recognizing the ingredients' words in the cropped image. Two major issues should be solved during the development process: First, although there were flat containers for cosmetics or food, most were curved containers. Thus, it was necessary to recognize the ingredient table displayed on the curved containers. Second, since the ingredients' words were displayed on the curved surface, the transformed or line-changed words also needed to be recognized. The proposed new methods were enough to solve the above two problems. The application developed through various tests verified that there was no problem recognizing the ingredients' words contained in a cylindrical curved container.

Proposed Application Design for Community-Based Rehabilitation Services Access in Community Care System: Occupation and Activity Based (커뮤니티케어 제도 내 지역사회중심재활 서비스 접근을 위한 애플리케이션 디자인의 제안 : 작업과 활동 중심으로)

  • Bae, Seong-Hwan;Jang, Yeon-Sig;Baek, Ji-Young
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.4
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    • pp.325-335
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    • 2021
  • Chronic diseases have been increasing recently as the average life expectancy of humans has been extended, and this trend has caused problems such as the widespread demand for health and rehabilitation services and rising medical costs. In order to solve this problem, the community-based rehabilitation has been developed and strengthened in Korea and gradually promoted since 2019. It is important to secure access to clients who want to use services to revitalize community-based rehabilitation. So in this study, as part of the community-based rehabilitation, intends to devise smartphone applications designs and develop a prototype to secure access to community-based occupational therapy services based on occupation and activities. For Occupational Therapy Practice Framework (OTPF), International Classification of Functioning, Disability and Health (ICF), and Allen Diagnostic Module-2 (ADM-2) were used to devise and categorize occupation and activity based application content, and link OTPF, ICF, and ADM-2 through prior research analysis and expert meetings. The derived content was visualized through literature review and activity analysis, and was implemented to enable direct playback within the application using the YouTube API, and finally developed a prototype application. The Android Studio 3.5.2 for Windows 64-bit was used to build the application prototype. In further research, converging various digital technologies for user convenience and additionally researching community-based occupational therapy service providers opinions and service user satisfaction will improve accessibility to community-based occupational therapy services for clients who have difficulty occupational performance in the community.

Current State and Limit of Mobile-Based Mental Health Intervention Using Information & Communication Technology (정보통신기술(Information & Communication Technology)을활용한 모바일 기반 정신건강개입의 현황과 한계)

  • Lee, Sang Min;Kim, Seung-Jun;Im, Woo-Young;Paik, Jong-Woo
    • Korean Journal of Psychosomatic Medicine
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    • v.24 no.1
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    • pp.61-65
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    • 2016
  • Currently, a variety of Information and Communication Technology(ICT) is being broadly utilized for mental health. Especially, mobile application is one of the effective ICT, and several applications have been developed after the spread of smartphones. The mobile-based mental health has several strengths, such as better treatment accessibility and easier check-ups of symptoms or daily activities by real-time monitoring. Better follow-ups of treatment course, more customized feedback and better transportability enable patients to be more adherent. However, there are some limitations of mobile technology about the mental health, such as technical troubles of electric errors, data safety problems and personal information extrusion. Therefore, full considerations should be given during the development and provision of the technology. Most of all, mental health specialists should actively participate in the development process by incorporation of evidence-based experiences and assurance of good clinical qualities.

u-Home 표준화와 서비스

  • Park, Sang-Hun
    • TTA Journal
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    • s.110
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    • pp.33-35
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    • 2007
  • "u-home 서비스는 21세기를 대비하기 위한 신성장동력 산업의 핵심에 있으며, 킬러 애플리케이션으로 작용할 것으로 전망된다. 그러나 가장 큰 문제는 이러한 u-home 서비스가 다양한 기술로 구현 가능할 뿐만 아니라 서비스 간의 상호운용성이 확보되지 않았을 때 발생할 사용자의 불편함을 고려하면 산.학.연 관계자는 머리를 맞대고 표준화를 추진해야 할 일이다. 또한 u-city 아키텍처 안에서 u-home을 구현하여야 홈네트워크 산업이 꽃을 피울 수 있게 될 것이다(전호인 경원대 교수)"- 이번 호에서는 가정 내의 정보가전기기가 하나의 네트워크 망으로 융합되어 기기, 시간, 장소에 상관없이 우리에게 편리함, 안전함, 즐거움, 건강한 삶을 제공하게 될 u-home 서비스 및 표준화의 현황과 전망 그리고 전략방안에 대해 알아본다

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A Development of Design Prototype of Smart Clothing for Healthcare Based on Sensing Technology of Vital Signs (생체 신호 측정기술에 기반한 건강관리용 스마트 의류 디자인 프로토타입 개발)

  • Cho, Hyun-Yee;Lee, Joo-Hyeon;Lee, Chung-Keun;Lee, Myoung-Ho
    • 한국HCI학회:학술대회논문집
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    • 2006.02b
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    • pp.227-232
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    • 2006
  • 스마트 의류의 발달은 pc 를 분산, 부착한 웨어러블 컴퓨터의 연구로부터 진행되어 왔으며, 1990 년대 후반 이후 착용자 감성을 고려해 더욱 편안하며, 의복과 유사한 외관을 디자인 하려는 노력이 전개되고 있다. 스마트 의류는 엔터테인먼트, 비즈니스, 스포츠, 의료 분야에 적용 등 다양한 애플리케이션으로 연구, 개발되고 있으며, 최근 들어서는 생체신호 센서를 이용한 건강관리용 스마트 의류의 연구가 주목 받고 있다. 건강에 대한 관심과 라이프 스타일의 변화, 고령화 사회의 예상으로 인해 건강복지에 대한 필요성이 증가하는 최근 트렌드를 볼 때, 건강 관리용의 스마트 의류의 수요는 증가될 것으로 예상된다. 이에 본 연구에서는 기본적인 생체신호 뿐 아니라 심장 질환, 호흡기 질환을 측정할 수 있는 건강 개념의 스마트 의류 디자인을 개발하였다. 이 스마트 의류는 기존의 의복의 형태와 착용감은 그대로 유지하면서 의복 착장 시 생체 신호를 전송, 모니터링 할 수 있도록 설계하였다. 개발된 의복은 심전도, 체온 센서로 구성되어 있으며, 이를 통해 심전도, 호흡량, 맥박, 체온 등의 생체신호를 얻을 수 있다. 디자인 프로토타입의 기기 위치 선정은 선행 연구에서 제시한 '착용성 향상을 위한 웨어러블 컴퓨터 디자인 지침' 을 기반으로 설계하여 착장 시 기기로 인한 이물감이 느껴지지 않도록 하였으며 또한, 기기의 하중을 최소화 하였다. 의복의 디자인은 센서의 안정된 부착과 활동성, 센서의 정확한 측정을 고려하여 표피의 면적 변화를 고찰하여 디자인하였다. 이 스마트 의류는 노인, 건강 이상자, 통원 치료자에게 평상시의 건강을 체크 함으로써 보다 원활한 치료의 가능으로 의료 복지에 기여할 것으로 예상되며, 디자인 프로토타입의 개발을 통하여 센서기반 스마트 의류의 가능성을 제시했다는 점에서 이 연구의 의의가 있다.

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A Study on Security Weakness and Threats in Personal Health Record Services (개인건강기록 서비스에서 보안취약성 및 위협요소에 관한 연구)

  • Yi, Myung-Kyu;Hwang, Hee-Joung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.6
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    • pp.163-171
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    • 2015
  • Personal Health Records(PHR) service offers patients a convenient and easy-to-use solution for managing their personal health records, crucial medical files, and emergency contacts. In spite of the indispensable advantages, PHR service brings critical challenges that cannot be avoided from consumer side if the security of the data is concerned. The problem of user's privacy infringement and leaking user's sensitive medical information is increasing with the fusion of PHR technology and healthcare. In this paper, therefore, we analyze the various security aspects that are vulnerable to the PHR service and needed to be resolved. Moreover, we analyze the security requirements from the point of view of the PHR users and application service providers and provides the PHR security mechanism for addressing PHR security threats and satisfying PHR security requirements.

Development of Mobile Application Contents for Self-management of Patients with Osteoarthritis: Using Delphi Method (골관절염 대상자 자기관리를 위한 모바일앱 콘텐츠 개발: 델파이 조사를 활용하여)

  • Park, Ju Young;Son, Jung Tae
    • Journal of muscle and joint health
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    • v.26 no.3
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    • pp.307-318
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    • 2019
  • Purpose: The purpose of this study was to explore the essential contents of mobile application for self-management of patients with osteoarthritis through Delphi survey. Methods: The Delphi survey was conducted with 14 experts to determine the importance of contents in osteoarthritis self-management mobile application. Results: A total of 25 contents were finalized for the osteoarthritis self-management mobile application. The contents consisted of 7 items for daily living management, 8 items for disease information, 3 items for pain management, 6 items for exercise, and 1 item for weight management. Conclusion: Based on the results of this study, self-management mobile application can be developed and used as an interventional tool for patients with osteoarthritis.

Privacy-Preserving Aggregation of IoT Data with Distributed Differential Privacy

  • Lim, Jong-Hyun;Kim, Jong-Wook
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.6
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    • pp.65-72
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    • 2020
  • Today, the Internet of Things is used in many places, including homes, industrial sites, and hospitals, to give us convenience. Many services generate new value through real-time data collection, storage and analysis as devices are connected to the network. Many of these fields are creating services and applications that utilize sensors and communication functions within IoT devices. However, since everything can be hacked, it causes a huge privacy threat to users who provide data. For example, a variety of sensitive information, such as personal information, lifestyle patters and the existence of diseases, will be leaked if data generated by smarwatches are abused. Development of IoT must be accompanied by the development of security. Recently, Differential Privacy(DP) was adopted to privacy-preserving data processing. So we propose the method that can aggregate health data safely on smartwatch platform, based on DP.

Analysis of oral health-related smartphone applications (구강건강 관련 스마트폰 애플리케이션 분석)

  • Jung, Jae-Yeon;Kim, Soo-Hwa
    • Journal of Korean society of Dental Hygiene
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    • v.19 no.4
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    • pp.493-502
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    • 2019
  • Objectives: This study aimed to investigate the current status of oral health applications developed for smartphones because they can be used as a new educational medium to manage and improve oral health. Methods: This study examined 60 basic oral health applications provided by Google Play Store and Apple App Store as of May 2019 and examined delivery contents, delivery methods, application types, and other information. Results: Apple included 65.4% of oral apps in the game category whereas Android included 64.3% in the education category (p>0.05). All Apple's apps and 71.4% of Android apps were developed overseas (p<0.01). The delivery contents were 61.5% for Brushing + tooth decay in Apple, and 78.6% for others (oral care products and gum diseases) in Android (p>0.05). For the delivery method, game + video was 65.4% in Apple, and game and other methods (text, image, augmented reality) was 42.9% in Android (p>0.05). In the case of application type, play type was the most common with 88.5% in Apple, and 46.4% play type and 39.3% other type (text, appreciation, problem-solving types) in Android (p<0.01). In addition, play type was high in both education (53.8%) and game (90.0%) categories (p>0.05). The average review score was 4.30 in the education category, 4.34 in the case of brushing and care (delivery contents), 4.37 in the case of using game + video (delivery methods), and 4.57 in the case of Play + other types (application type) (p>0.05). Conclusions: The use of healthcare apps is expected to increase owing to improved lifestyles, an increase in the elderly population, cost-effectiveness, and convenience that is not affected by time and place. Effective use of oral health apps will require the participation of dental professionals in the development process to identify the exact status, expand subjects, and provide appropriate information.

Mobile App for Detecting Canine Skin Diseases Using U-Net Image Segmentation (U-Net 기반 이미지 분할 및 병변 영역 식별을 활용한 반려견 피부질환 검출 모바일 앱)

  • Bo Kyeong Kim;Jae Yeon Byun;Kyung-Ae Cha
    • Journal of Korea Society of Industrial Information Systems
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    • v.29 no.4
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    • pp.25-34
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    • 2024
  • This paper presents the development of a mobile application that detects and identifies canine skin diseases by training a deep learning-based U-Net model to infer the presence and location of skin lesions from images. U-Net, primarily used in medical imaging for image segmentation, is effective in distinguishing specific regions of an image in a polygonal form, making it suitable for identifying lesion areas in dogs. In this study, six major canine skin diseases were defined as classes, and the U-Net model was trained to differentiate among them. The model was then implemented in a mobile app, allowing users to perform lesion analysis and prediction through simple camera shots, with the results provided directly to the user. This enables pet owners to monitor the health of their pets and obtain information that aids in early diagnosis. By providing a quick and accurate diagnostic tool for pet health management through deep learning, this study emphasizes the significance of developing an easily accessible service for home use.