Browse > Article
http://dx.doi.org/10.21288/resko.2017.11.4.315

A Study of Pedestrian Navigation Service System for Visual Disabilities  

Jang, Young Gun (청주대학교 컴퓨터정보공학과)
Cha, J.H. (청주대학교 컴퓨터정보공학과)
Publication Information
Journal of rehabilitation welfare engineering & assistive technology / v.11, no.4, 2017 , pp. 315-321 More about this Journal
Abstract
This paper is a study on the design and realization of Pedestrian navigation service system for the visually impaired. As it is an user interface considering visually impaired, voice recognition functioned smartphone was used as the input tool and the Osteoacusis headset, which can vocally guide directions while recognizing the surrounding environment sound, was used as the output tool. Unlike the pre-existing pedestrian navigation smartphone apps, the developed system guides walking direction by the scale of the left and right stereo sound of the headset wearing, and the voice guidance about the forked or curved path is given several meters before according to the speed of the user, and the user is immediately warned of walking opposite direction or proceeding off the path. The system can acquire stable and reliable directional information using the motion tracker with the dynamic heading accuracy of 1.5 degrees. In order to overcome GPS position error, we proposed a robust trajectory planning algorithm for position error. Experimental results for the developed system show that the average directional angle error is 6.82 degrees (standard deviation: 5.98) in the experimental path, which can be stated that it stably navigated the user relatively.
Keywords
Pedestrian navigation service; Visual disabilities; Osteoacusis headset; Trajectory planning; Dynamic heading accuracy;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Electronics and Telecommunications Research Institute, Korea Blind Union, A Study of Requirements for Pedestrian Convenience of Visually impaired, Final report, 2015.
2 Pablo-Alejandro Quinones et al, "Supporting Visually Impaired Navigation: A Needs-finding Study", CHI 2011, 2011.
3 Laehyun Kim et al, "Improvement of An Electronic Aid for the Blind using Ultrasonic and Acceleration Sensors", Journal of KISS: Software and Applications, vol. 36, no. 4, pp. 291-297, 2009.
4 Alberto Rodriguez et. al., "Assisting the Visually Impaired: Obstacle Detection and Warning System by Acoustic Feedback", pp. 17476-17496, 2012.
5 Dimitrios Dakopoulos and Nikolaos G. Bourbakis, "Wearable Obstacle Avoidance Electronic Travel Aids for Blind: A Survey", IEEE Trans. on Systems, Man and Cybernetics - Part C: Applications and Reviews, vol. 40, no. 1, pp. 25-35, 2010.   DOI
6 Yang Seung Ho, A Study on the Walking Aids' Interface for Independent Indoor Walking of the Visually Impaired, Kookmin University, Phd thesis, 2012.
7 Dhruv Jain, "Path-Guided Indoor Navigation for the Visually Impaired Using Minimal Building Retrofitting", ASSETS'14, pp. 20-22, 2014.
8 Aura Ganz et al, "PERCEPT Indoor Navigation System for the Blind and Visually Impaired: Architecture and Experimentation", Int. Jour. of Telemedicine and Applications, vol. 2012, Article ID 894869, p. 12, 2012.
9 Bo Huang, Nan Liu, "Mobile Navigation Guide for the Visually Disabled", Transportation Research Record, no. 1885, pp. 28-34, 2004.   DOI
10 Kyu-Sang Kwon, "Spatial Information and Providing Methods in Mobile Pedestrian Navigation for the Visually Impaired", Jour. of KCA, vol. 13, no. 2, pp. 95-111, 2013.
11 Brian F.G. Katz et al, "NAVIG: Guidance system for the visually impaired using virtual augmented reality", Technology and Disability, vol. 24, pp. 1-16, 2012.
12 K. Ramarethinam et al, "Navigation System for Blind People Using GPS & GSM Techniques", IJAREEIE, vol. 3, Special Issue 2, pp. 398-405, 2014.
13 Andrew J. May et al, "Pedestrian navigation aids: information requirements and design implications", Pervasive Ubiquitous Computing, 7: 331-338, 2003.   DOI
14 Michael Minock et al, "Prediction and Scheduling in Navigation Systems", GeoHCI Workshop at CHI 2013, April 2728, 2013, Paris, France
15 Zhixiang FANG et al, "What about people in pedestrian navigation?", Geo-spatial Information Science, vol. 18, no. 4, pp. 135-150, 2015.   DOI
16 Kyoung-ho Kim, Sang-Woong Lee, "Positioning System for the Blind Navigation", Journal of Korean Instutute of Next Generation Computing, vol. 8, no. 4, pp. 6-16, 2012.
17 Jae-koon Yoo et al, "Development of Localization Tracking System and User Interface og Guiding Robot for the Visually Impaired", Journal of Korea Information Processing Society D, vol. 12, no. 3, pp. 481-491, 2005.
18 GPS HORIZONTAL POSITION ACCURACY, http://www.leb.esalq.usp.br/disciplinas/Molin/leb447/Arquivos/GNSS/ArtigoAcuraciaGPSsemAutor.pdf
19 Get driving, biking, walking and transit navigation in your app, https://mapzen.com/
20 Raubal, M and Winter, S., 2002 Enriching Wayfinding Instructions with Local Landmarks, Lecture Notes in Computer Science, 2478, pp. 243-259.
21 Open street map, https://www.openstreetmap.org/#map=7/35.948/127.736
22 A Windows 10 Computer with integrated Arduino, http://www.lattepanda.com/
23 Xsens 3D motion tracking, https://www.xsens.com/products/mtw-awinda/
24 Kwang-jin Kim et al, "Dead-Reckning Error Correction Using Orientation Information", 2007 Preceeding of KIIT Summer Conference, pp. 238-243, 2007.