DOI QR코드

DOI QR Code

Development of Lifelog Collection Interface and Visualization System for User Location Information Analysis

사용자 위치 정보 분석을 위한 라이프로그 수집 인터페이스 및 시각화 시스템 개발

  • 최진우 (군산대학교 소프트웨어융합공학과) ;
  • 이석훈 (군산대학교 소프트웨어융합공학과) ;
  • 정동원 (군산대학교 소프트웨어융합공학과)
  • Received : 2019.04.03
  • Accepted : 2019.07.22
  • Published : 2019.07.31

Abstract

With the development of smartphones and wearable devices, researches related to platforms that collect lifelogs from these devices and the visualization of the lifelog results have also been advanced. However, the existed researches were impossible to collect data from various devices because they depended on a specific device and platform when transmitting or receiving lifelog data. In addition, they do not provide visualized analysis results of specialized lifelogs in specific areas, such as the users' location information. To resolve the problems, this paper analyzes user location information from the lifelog collection platform and develops the interface and visualization tools for lifelog collection. To do this, we define and analyze the requirements of developing the proposed system. Then, based on the analyzed requirements, this paper develops a lifelog visualization tool using various graphs, maps and the RESTful API interface and shows its implemented results.

스마트폰 및 웨어러블 디바이스의 발달과 함께 이러한 기기들로부터 라이프로그를 수집하는 플랫폼 및 시각화와 관련된 연구들도 활발히 이루어지고 있다. 하지만 기존 연구들은 라이프로그의 송수신 시 특정 디바이스 및 플랫폼에 종속되어 다양한 기기로부터 데이터 수집이 불가능하다. 또한, 사용자의 위치 정보와 같이 특정 영역에 특화되어 있는 라이프로그에 대하여 다양한 분석 결과를 시각화하여 제공하지 않는다. 본 논문은 이러한 문제를 해결하기 위해 라이프로그 수집 플랫폼에서 사용자의 위치 정보를 분석하고 라이프로그의 수집을 위한 인터페이스와 시각화 도구를 개발한다. 이를 위해 제안 시스템 개발 시 필요한 요구사항을 정의하고 분석한다. 이후 분석한 요구사항에 따라 RESTful API 기반의 인터페이스와 다양한 그래프 및 지도 등을 이용한 라이프로그 시각화 도구를 개발하고 구현 결과를 보인다.

Keywords

References

  1. H. J. Sim, "BigData and Life-logging: Current Status and Outlook", http://www.kisdi.re.kr/kisdi/fp /kr/board/selectSingleBoard.do?cmd=selectSingleBoard&boardId=GPK_ICT_TREND&seq=29574&reStep=3999&ctx=2014, Mar. 2014. [acessed: May, 14, 2019]
  2. L. Kesiraju and T. Vogels, "Health & Fitness App Users Are Going the Distance with Record-High Engagement", http://flurrymobile.tumblr.com/tagged/insights, Jun, 2017. [accessed: May 14, 2019]
  3. J. E. So, "Implementation of the Wearable Activity Monitoring System using Accelerometer Sensor", Department of Ubiquitous IT Graduate school Dongseo University Masters dissertataion, Feb. 2010.
  4. Y. S. Lee and B. I. Ahn, "Implementation of Smart Healthcare Monitoring System Based on IoT", Information & Communication Graduate School of Konkuk University Masters dissertataion, May 2016.
  5. M. S. Won, "V2P Based Navigation Assistant Service for Provide Pedestrian Prediction Path", Kwangwoon University School of Information and Content Graduate School of Information Systems Masters dissertataion, Feb. 2018.
  6. H. J. Oh, B. H. Yun, N. H. Choi, C. J. Yoo, and Y. Kim, "Visualization for Preferred Locations and Moving Patterns According to User Groups Based on Contents Analysis in Social Big Data", KIIT, Vol. 12, No. 12, pp. 195-203, Dec. 2014.
  7. S. Nam, S. J. Kim, and S. Lee, "DSEM-Traj2018: Building Lifelog Dataset using Smartwatch for Path Prediction", World IT Congress 2019, Feb. 2019.
  8. S. M. Kim, J. Y. Lee, H. S. Choi, and W. S. Rhee, "RESTful Sensor Middleware to Support Heterogeneous Sensor", KICS, pp. 27-28, 2014.
  9. U. Kim, Y. C. Kim, and S. Kwak, "IoT based Indoor Air Quality Monitoring System", The Korea Contents Society, Vol. 16, No. 2, pp. 143-151, Feb. 2016.
  10. L. Bianchi, F. Paganelli, M. C. Pettenati, S. Turchi, L. Ciofi, E. Iadanza, and D. Giuli, "Design of a RESTful Web Information System for Drug Prescription and Administration", IEEE, Vol. 18, No. 3, pp. 885-895, May 2014. https://doi.org/10.1109/TNET.2009.2034047
  11. H. Kim and H. Y. Song, "Human Mobility Model Patterns via Analysis of Location Information", Proceedings of Korea Information Science Society, pp. 412-414, Jun. 2013.
  12. K. A. Cha and S. Y. Hyun, "Implementation of Android application to judge the daily route deviation via the GPS information on smart phones", Journal of the Korea Industrial Information Systems Research, Vol. 18, No. 3, pp. 27-34, Jun. 2013. https://doi.org/10.9723/jksiis.2013.18.3.027
  13. K. S. Hwang and S. B. Cho, "A lifelog browser for visualization and search of mobile everyday-life", Journal of Mobile Information Systems, Vol. 10, No. 3, pp. 243-258, 2014. https://doi.org/10.1155/2014/740452
  14. Samsung Artik, https://artik.cloud/ [accessed: Jun. 4, 2019]
  15. 1up health, https://1up.health/ [accessed: Jun. 4, 2019]

Cited by

  1. A Study on the Privacy Protection Method of Location Information using Weight-based Dummy Obfuscation Method vol.18, pp.9, 2020, https://doi.org/10.14801/jkiit.2020.18.9.75