“BlindShoe”: An Electronic Guidance System for the Visually Impaired People

Mohammad Marufur Rahman, Md. Milon Islam, Shishir Ahmmed

Abstract


The number of visually impaired people is rising with the rapid growth of population. The visually impaired people face difficulties in their daily living owing to the lost of their vision. The primary purpose of this paper is to develop a low-cost tool that can help the visually impaired people by providing proper instructions while moving on the surroundings. We proposed a solution by developing an electronic guidance system to aid the visually impaired people in navigation by detecting obstacles in the front and the backside of the individuals. This system comprised a smartphone, sensors, microcontroller, and a data transmission device. The sensors gathered information from the surroundings, and the microcontroller detected the obstacles by processing the information. The communication between the microcontroller and smartphone was done via data transmission device (Bluetooth module). The smartphone provided continuous instructions to keep the individuals in proper track. The proposed system could detect the obstacles within 100 cm with an accuracy of 97.33%. This implies that the proposed prototype is able to facilitate the visually impaired people in safe navigation.

Keywords


Visually Impaired People; Obstacle Detection; Ultrasonic Sensor; Water Level Sensor; Smartphone;

Full Text:

PDF

References


R. R. A. Bourne, S.R. Flaxman, T. Braithwaite, M.V. Cicinelli, A.Das, J.B. Jonas, J. Keeffe, J.H. Kempen, J. Leasher, H. Limburg, and K. Naidoo, “Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and meta-analysis,” Lancet Glob. Heal., vol. 5, no. 9, pp. e888–e897, Sep. 2017.

A. Riazi, F. Riazi, R. Yoosfi and F. Bahmeei, "Outdoor difficulties experienced by a group of visually impaired Iranian people", in Journal of current ophthalmology, vol. 28, no. 2, pp. 85-90, Jun. 2016.

M. M. Islam, M. Sheikh Sadi, K. Z. Zamli and M. M. Ahmed, "Developing Walking Assistants for Visually Impaired People: A Review," in IEEE Sensors Journal, vol. 19, no. 8, pp. 2814-2828, 2019.

M. N. Alam, M. M. Islam, M. A. Habib and M. B. Mredul, " Staircase Detection Systems for the Visually Impaired People: A Review", in International Journal of Computer Science and Information Security (IJCSIS), vol. 16, no. 12, pp. 13-18, Dec. 2018.

M. M. Islam and M. S. Sadi, "Path Hole Detection to Assist the Visually Impaired People in Navigation," in Proc. 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT), Dhaka, Bangladesh, pp. 268- 273, 2018.

M. M. Kamal, A. I. Bayazid, M. S. Sadi, M. M. Islam and N. Hasan, "Towards developing walking assistants for the visually impaired people," in Proc. IEEE Region 10 Humanitarian Technology Conference (R10-HTC), Dhaka, pp. 238-241, 2017.

Blasch, B.B., Wiener, W.R., & Welsh, R.L., “ Foundations of orientation and mobility,” (2nd ed.). New York, NY: AFB Press, 1997.

S. Sharma, M. Gupta, A. Kumar, M. Tripathi, and M. S. Gaur, "Multiple distance sensors based smart stick for visually impaired people," in 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC), 2017, pp. 1-5.

S. Bhatlawande, M. Mahadevappa, and J. Mukhopadhyay, "Wayfinding Electronic Bracelet for visually impaired people," in Proc. IEEE Point-of-Care Healthcare Technologies (PHT), pp. 260-263, 2013.

K. Ito, M. Okamoto, J. Akita, T. Ono, I. Gyobu, and T. Takagi, “CyARM: An alternative aid device for blind persons,” in Proc. Conf. Human Factors Comput. Sci., pp. 1483–1486, 2005.

A. J. Ramadhan, "Wearable Smart System for Visually Impaired People," Sensors, vol. 18, no. 3, pp. 1-13, 2018.

C. Ton et al., "LIDAR Assist Spatial Sensing for the Visually Impaired and Performance Analysis," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 26, no. 9, pp. 1727-1734, Sept. 2018.

H. Sharma, M. Tripathi, A. Kumar, and M. S. Gaur, "Embedded Assistive Stick for Visually Impaired Persons," in 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp. 1-6, 2018.

E. E. Pissaloux, R. Velázquez, and F. Maingreaud, "A New Framework for Cognitive Mobility of Visually Impaired Users in Using Tactile Device," IEEE Transactions on Human-Machine Systems, vol. 47, no. 6, pp. 1040-1051, 2017.

A. Sareeka, K. Kirthika, M. Gowthame, and V. Sucharitha, "pseudoEye—Mobility assistance for visually impaired using image recognition," in 2018 2nd International Conference on Inventive Systems and Control (ICISC), pp. 174-178, 2018.

S. Khade and Y. H. Dandawate, "Hardware Implementation of Obstacle Detection for Assisting Visually Impaired People in an Unfamiliar Environment by Using Raspberry Pi," in International Conference on Smart Trends for Information Technology and Computer Communications, pp. 889-895, 2016.


Refbacks



Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

ISSN: 2180-1843

eISSN: 2289-8131