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Development of Obstacle Database Management Module for Obstacle Estimation and Clustering: G-eye Management System

장애물 추정 및 클러스터링을 위한 장애물 데이터베이스 관리 모듈 개발: G-eye 관리 시스템

  • Min, Seonghee (School of Computer & Communication Engineering, Daegu University) ;
  • Oh, Yoosoo (School of Computer & Communication Engineering, Daegu University)
  • Received : 2017.01.13
  • Accepted : 2017.01.31
  • Published : 2017.02.28

Abstract

In this paper, we propose the obstacle database management module for obstacle estimation and clustering. The proposed G-eye manager system can create customized walking route for blind people using the UI manager and verify the coordinates of the path. Especially, G-eye management system designed a regional information module. The regional information module can improve the loading speed of the obstacle data by classifying the local information by clustering the coordinates of the obstacle. In this paper, we evaluate the reliability of the walking route generated from the obstacle map. We obtain the coordinate value of the path avoiding the virtual obstacle from the proposed system and analyze the error rate of the path avoiding the obstacle according to the size of the obstacle. And we analyze the correlation between obstacle size and route by classifying virtual obstacles into sizes.

Keywords

References

  1. Korea Institute for Health and Social Affairs, Survey of the Disabled, 11-1352000-000568- 12, 2014.
  2. Y. Kim, T. Lee, H. Kim, S. Cho, D. Kim, and S. Lee, Theory and Practices of Walking for Visually Impaired People, Sigmapress, 2013, 21, Yangpyeong-ro 22-gil, Yeongdeungpogu, Seoul, Republic of Korea.
  3. B. Ahn, Y. Noh, and D. Jeong, "Implementation of Behavior Notification System for Guide Dog Harness Using IMU and Accelerometer Sensor," The Journal of Korea Institute of Signal Processing and Systems, Vol. 16, No. 1, pp. 15-21, 2015.
  4. B. Ko, M. Hwang, and J. Nam, "Image Based Human Action Recognition System to Support the Blind," Journal of Korean Institute of Information Scientists and Engineers, Vol. 42, No. 1, pp. 138-143, 2015.
  5. S. Kim and S. Cho, "A Haptic Navigation System for Visually Impaired Persons," Journal of Korea Multimedia Society, Vol. 14, No. 1, pp. 133-143, 2011. https://doi.org/10.9717/kmms.2011.14.1.133
  6. C. Tsirmpas, A. Rompas, O. Fokou, and D. Koutsouris, "An Indoor Navigation System for Visually Impaired and Elderly People Based on Radio Frequency Identification (RFID)," Information Sciences, Vol. 320, pp. 288-305, 2015. https://doi.org/10.1016/j.ins.2014.08.011
  7. S. Bae, "An Indoor Localization and Guidance System for the Visually Impaired Person Based on Bluetooth 4.0," Journal of The Korea Contents Association, Vol. 16, No. 8, pp. 202- 208, 2016. https://doi.org/10.5392/JKCA.2016.16.08.202
  8. C. Kim and J. Seo, "An Design and Implementation of Navigation System for Visually Impaired Persons Based on Smart Mobile Devices," Journal Of The Korea Contents Association, Vol. 15, No. 1, pp. 24-30, 2015. https://doi.org/10.5392/JKCA.2015.15.01.024
  9. I. Koh, J. Kim, H. Jo, and E.T. Matson, "Smart Cane Navigator: Obstacle Avoidance Navigation System for Visually Impaired," Proceeding of Korea Computer Congress, pp. 496-498, 2016.
  10. S. Min and Y. Oh, "G-eye: Route Guide System Based on Obstacle Map for Blind People," Proceeding of the HCI Korea, pp.730-732, 2017.
  11. TMAP API, 2017.02.28., https://developers.skplanetx.com/apidoc/kor/tmap/

Cited by

  1. Survey on Obstacle Detection Features of Smart Technologies to Help Visually Impaired People Walk vol.25, pp.3, 2017, https://doi.org/10.9723/jksiis.2020.25.3.031