Design and implementation of huvigation for the visually impaired

  • Authors

    • Jinhyeok Jang
    • Youngseok Lee
    2018-06-08
    https://doi.org/10.14419/ijet.v7i2.33.13867
  • Visually Impaired, Cane, Navigation, Road Master, Obstacles Detection, Ultrasonic Sensors
  • Background/Objectives: Visual impairments should take the risk alone, we need to design a Huvigation because it is necessary to study the route and surrounding dangerous obstacles with a convenient device.

    Methods/Statistical analysis: Set the destination using voice recognition and braille input device to help the users find the way, guided by voice when user want, obstacles are read using an ultrasonic sensor. In the obstacle detection method, prioritize in the direction of things by three ultrasonic sensors. And the user recognize the direction of things reduces the probability of strike the object than other functions.

    Findings: The proposed system can set the destination using speech recognition or a braille input device. The information is transmitted to a navigation web page linked with the input destination, and navigation is guided using the navigation function. This device transmits the information received using a speaker. This device receives information from the ultrasonic sensor. When objects come into range, a voice is transmitted to the user to prevent collision. When the user arrives at the destination, It announces the arrival using the speaker, and wait for the next command.

    Improvements/Applications: The safety of the user is ensured through three ultrasonic sensors. Every time the user moves and checks the location information and provides movement information.

     

  • References

    1. [1] Kavitha, R., Rani Thottungal, and C. Niranjana. "Obstacle Detection and Navigation System for Visually Impaired People Employing Li Fi Technology.†Sixth International Conference on Recent Development in Engineering Science, Humanities and Management, pp. 268-279, 2017.

      [2] Walimbe, Aarti A., et al. "Survey on Obstacle Detection and its Notification through an Android App for Visually Impaired People", Asian Journal of Convergence in Technology, Vol. 3, No. 3, 2017.

      [3] Sivagami, S., and V. Kushmitha. "The Navaid–A Navigation System For Visually Challenged Obstacle Detection Using Ultrasonic Sensors", International Journal of Advance Research, Idead and Innovations in Technology, Vol. 3, No.2, pp. 1207-1211, 2017.

      [4] Shim, I., & Yoon, J., "An interactive robotic cane for blind travelers", In Proceedings of the 2002 International Conference on Control, Automation and systems (ICCAS2002), pp. 2391-2396. 2002.

      [5] Wilson, J., Walker, B. N., Lindsay, J., Cambias, C., and Dellaert, F., "SWAN: System for Wearable Audio Navigation", In Proceedings of the 11th IEEE International Symposium on Wearable Computers (ISWC 2007), pp. 91-98, IEEE. doi: 10.1109/ISWC.2007.4373786

      [6] Van Erp, J. B. F., Tactile Navigation Display. In Brewster, S & Murray-Smith, R. (Eds.), Haptic Human-Computer Interaction, pp. 165 - 173. Berlin:Springer , 2001, doi:10.1007/3-540-44589-7_18.

      [7] STEP-HERE Navigation System for the blind, http://www.step-hear.com/, 2017.

      [8] Wessels, R., Dijcks, B., Soede, M., Gelderblom, G.J., and De Witte, L., Non-use of Provided Assistive Technology Devices, A Literature Overview, Technology and Disability Vol. 15, pp. 231-238, 2003.

      [9] Hoggan, E., Raisamo, R., & Brewster, S. A., "Mapping information to audio and tactile icons", In Proceedings of the 2009 international conference on Multimodal interfaces, pp. 327-334, ACM, 2009.

      [10] B. Mustapha, A. Zayegh, R.K. Begg, “Obstacle Detection System for Elderly and Visually Impaired People with Multiple Alarm Unitsâ€, College of Engineering and science, Victorial University, Australia, IEEE 2014.

      [11] Chunshan Liu, Erbao Dong*, Zhuo Duan, He Huang, Min Xu, Jie Yang, “Tracking and Claasification of Dynamic Obstacles with Laser Range Finder in Indoor Environmentsâ€, IEEE Conferrence on Robotics and Biomimetics 2015.

      [12] Abdullah, Shapina, Noorhayati Mohamed Noor, and Mohd Zaki Ghazali. "Mobility recognition system for the visually impaired." Telecommunication Technologies (ISTT), 2014 IEEE 2nd International Symposium on. IEEE, 2014.

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  • How to Cite

    Jang, J., & Lee, Y. (2018). Design and implementation of huvigation for the visually impaired. International Journal of Engineering & Technology, 7(2.33), 124-126. https://doi.org/10.14419/ijet.v7i2.33.13867