Submitted:
24 April 2024
Posted:
25 April 2024
Read the latest preprint version here
Abstract
Keywords:
1. Introduction
2. Literature Review
3. Materials and Method
3.1. Area of Description
3.1.1. Map3.1.2. Literacy
3.1.3. Climatic Circumstances
3.2. Survey of Blind Peoples in District Mardan, Pakistan
3.2.1. Survey Details
| Place | Total people visiting/day | Duration (Days) | No. of Blind Visiting | No. of Blind visiting per day |
| MMC | 5000 | 1 | 4 | 4 |
| DHQ Mardan | 4500 | 1 | 3 | 3 |
| Public store 1 | 2000 | 7 | 2 | 0.29 |
| Public store 2 | 3000 | 7 | 3 | 0.43 |
| NRC Mardan | 1500 | 7 | 2 | 0.29 |
| Hospital 1 | 500 | 15 | 1 | 0.07 |
| Hospital 2 | 300 | 15 | 1 | 0.07 |
| Total | 16,800 | 8.15 |
3.2.2. Percentage of Literate and Illiterate3.2.3. Percentage of Male and Female3.2.4. Percentage of Dependent and Independent3.2.5. Percentage of Natural, Accidental and Disease Blind Percentage of Poor and Rich3.2.6. Percentage of Single and Married3.2.7. Percentage of Blind According to Devices used for Movement
4. Result and Discussion
5. Conclusions
Figure List









Acknowledgments
References
- Benjamin, J. M., & Ali, N. A. (1974). An Improved Laser Cane For The Blind. Pro- ceedings of SPIE. [CrossRef]
- Bernabei, D., Ganovelli, F., Di Benedetto, M., Dellepiane, M., & Scopigno, R. (2011). A Low-Cost Time-Critical Obstacle Avoidance System for the Visually Im- paired. http://ipin2011.dsi.uminho.pt/PDFs/Shortpaper/64-Short-Paper.pdf.
- Cardin, S., Thalmann, D., & Vexo, F. (2006). A wearable system for mobility improvement of visually impaired people. The Visual Computer, 23(2), 109–118. [CrossRef]
- Chen, L., Guo, B., & Sun, W. (2010, December 1). Obstacle Detection System for Visually Impaired People Based on Stereo Vision. IEEE Xplore. [CrossRef]
- Dodds, A. G., Armstrong, J. D., & Shingledecker, C. A. (1981). The Nottingham Obstacle Detector: Development and Evaluation. Journal of Visual Impairment & Blindness, 75(5), 203–209. [CrossRef]
- Fang, L., Antsaklis, P. J., Montestruque, L. A., McMickell, M. B., Lemmon, M., Sun, Y., Fang, H., Koutroulis, I., Haenggi, M., Xie, M., & Xie, X. (2005). Design of a Wireless Assisted Pedestrian Dead Reckoning System—The NavMote Experi- ence. IEEE Transactions on Instrumentation and Measurement, 54(6), 2342–2358. [CrossRef]
- Fusiello, A., Panuccio, A., Murino, V., Fontana, F., & Rocchesso, D. (2002). A multi- modal electronic travel aid device. Proceedings. Fourth IEEE International Conference on Multimodal Interfaces. [CrossRef]
- Guerrero-Ib´an˜ez, J., Zeadally, S., & Contreras-Castillo, J. (2018). Sen- sor Technologies for Intelligent Transportation Systems. Sensors, 18(4), 1212. [CrossRef]
- Hesch, J. A., & Roumeliotis, S. I. (2010). Design and Analysis of a Portable Indoor Localization Aid for the Visually Impaired. The International Journal of Robotics Research, 29(11), 1400–1415. [CrossRef]
- Huang, H.-C., Hsieh, C.-T., & Yeh, C.-H. (2015). An Indoor Obstacle Detection System Using Depth Information and Region Growth. Sensors, 15(10), 27116–27141. [CrossRef]
- Hub, A., Diepstraten, J., & Ertl, T. (2004). Design and development of an indoor navigation and object identification system for the blind. Proceedings of the ACM SIGACCESS Conference on Computers and Accessibility - ASSETS ’04. [CrossRef]
- Ito, K., Okamoto, M., Akita, J., Ono, T., Ikuko Gyobu, Takagi, T., Hoshi, T., & Mishima, Y. (2005). CyARM. [CrossRef]
- Liu, Y.-Q., Gao, Z.-K., Shao, Z.-J., & Liu, G.-Y. (2017, June 1). Intelligent ultrasonic detection of walking sticks for the blind. IEEE Xplore. [CrossRef]
- Manuel Saez, J., Escolano, F., & Penalver, A. (2005, September 1). First Steps towards Stereo-based 6DOF SLAM for the Visually Impaired. IEEE Xplore. [CrossRef]
- Manuel, J., & Francisco Escolano Ruiz. (2008). Stereo-based Aerial Obstacle De- tection for the Visually Impaired.
- Oladayo, O. O. (2014). A Multidimensional Walking Aid for Visually Impaired Using Ultrasonic Sensors Network with Voice Guidance. International Journal of Intelligent Systems and Applications, 6(8), 53–59. [CrossRef]
- Rangeetha. S, Rilvana Fathima. B, Sanjana. R, & Nivetha Rajam. S. (2016). Arduino based Smart Walking Stick for Visually Impaired to Iden- tify Bus Route. International Journal of Engineering Research And, V5(04). [CrossRef]
- Rodr´ıguez, A., Yebes, J. J., Alcantarilla, P., Bergasa, L., Almaz´an, J., & Cela, A. (2012a). Assisting the Visually Impaired: Obstacle Detection and Warning System by Acoustic Feedback. Sensors, 12(12), 17476–17496. [CrossRef]
- Rodr´ıguez, A., Yebes, J. J., Alcantarilla, P., Bergasa, L., Almaz´an, J., & Cela, A. (2012b). Assisting the Visually Impaired: Obstacle Detection and Warning System by Acoustic Feedback. Sensors, 12(12), 17476–17496. [CrossRef]
- Sainarayanan, G., Nagarajan, R., & Yaacob, S. (2007). Fuzzy image processing scheme for autonomous navigation of human blind. Applied Soft Computing, 7(1), 257–264. [CrossRef]
- Soni, A., & Aman, A. (2018). Distance Measurement of an Object by using Ultrasonic Sensors with Arduino and GSM Module. IJSTE - International Journal of Science Technology & Engineering —, 4(11), 2349–2784. http://www.ijste.org/articles/IJSTEV4I11007.pdf.
- Stewart, J., Bauman, S., Escobar, M., Hilden, J., Kumud Bihani, & Newman, M. (2008). Accessible contextual information for urban orientation. [CrossRef]
- Tapu, R., Mocanu, B., Bursuc, A., & Zaharia, T. (2013). A Smartphone- Based Obstacle Detection and Classification System for Assisting Visually Im- paired People. 2013 IEEE International Conference on Computer Vision Workshops. [CrossRef]
- Ulrich, I., & Borenstein, J. (2001). The GuideCane-applying mobile robot technologies to assist the visually impaired. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 31(2), 131–136. [CrossRef]
- Ulrich, I., & Nourbakhsh, I. (2000, July 30). Appearance-Based Obstacle Detection with Monocular Color Vision. Semantic Scholar. https://www.semanticscholar.org/paper/Appearance-Based-Obstacle-Detection-with-Monocular-Ulrich-Nourbakhsh/49e196655e5c3953306cd03707c80e65c467bf32.
- Vivek Pradeep, Medioni, G., & Weiland, J. D. (2010). Robot vision for the visually impaired. [CrossRef]
- World Blind Union. (2017, October 16). WBU statement for White Cane Safety. The International Agency for the Prevention of Blindness. https://www.iapb.org/news/wbu-statement-for-white-cane-safety/.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).