Moeid M Elsokah¹* and Amer R Zerek²

¹ Communication Engineering Department, College of Electronic Technology, Tripoli, Libya
²EE Department, Zawia University, Faculty of Engineering, Zawia, Libya

*Corresponding Author: Moeid M Elsokah, Communication Engineering Department, College of Electronic Technology, Tripoli, Libya.

Received: June 04, 2022; Published: August 18, 2022

Abstract

Recently, most industries have become dependent on technological development in the world, especially the industrial and medical fields. Technological developments in smart homes, life-saving hospitals and nursing homes allow people to stay at home in a comfortable, safe, and independent way wherever they want without anyone's help. Most blinding people navigate within the house with help only from other people. One of the reasons is there isn’t enough information about the house available to them. Parts of this work were realized within a new prototype of a house navigation and object identification system for the blind, our working on a project that helps the patient to detect obstacles, and identify the time and control by voice commands for TV and radio, air conditioner operation, know the humidity and temperature inside the room and outside the house as well as alerting the patient at times of taking medication or appointments with the doctor. A thorough user requirements analysis of this project has been carried out with blind users. One of the goals is that a project should be developed, which helps blind people navigating themselves in public buildings independently.

Keywords: Indoor Navigation Systems for the Blind; Impaired Vision; Blind Users

References

1. D Pascolini and S P M Mariotti. “Global estimates of visual impairment”. British Journal of Ophthalmology5 (2011): 614-618.
2. “American Diabetes Association” (2011).
3. R G Golledge., et al. “Cognitive mapping and wayfinding by adults without vision”. in The Construction of Cognitive Maps, J. Portugali ed., Dordrecht, The Netherlands, Kluwer Academic Publishers 33(1996): 215-246.
4. J Coughlana and R Manduchib. “Cell phone-based wayfinding for the visually impaired”. in Proc. 1^st Workshop on Mobile Vision (2006).
5. S Chumkamon., et al. “A blind navigation system using RFID for indoor environments”. in Proc. 5^th Conf. on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (2008): 765-768.
6. MZH Noor., et al. “Bus detection device for the blind using RFID application”. in Proc. 5^th Colloq. on Signal Processing and Its Applications (2015): 247-249.
7. E D Giampaolo. “A passive-RFID based indoor navigation system for visually impaired people”. in Proc. 3^rd Symp. on Applied Sciences in Biomedical and Communication Technologies (2010): 1-5.
8. R Ivanov. “Indoor navigation system for visually impaired”. in Proc. 11^th Conf. on Computer Systems and Technologies (2010): 143-149.
9. A Ganz., et al. “INSIGHT: RFID and Bluetooth enabled automated space for the blind and visually impaired”. in Proc. Annu. Int. Conf. of the IEEE Engineering in Medicine and Biology Society, Boston, Mass, USA (2010): 331-334.
10. A Darvishy., et al. “Personal mobile assistant for air passengers with disabilities (PMA)”. in Proc. of the 11^th Conf. on Computers Helping People with Special Needs 5105 (2008): 1129-1134.
11. J Coughlan and R Manduchi. “Functional assessment of a camera phone-based wayfinding system operated by blind and visually impaired users”. International Journal on Artificial Intelligence Tools3 (2009): 379-397.
12. A Ganz., et al. “PERCEPT indoor navigation system for the blind and visually impaired: architecture and experimentation”. International Journal of Telemedicine and Applications (2012).
13. L A Guerrero., et al. “An indoor navigation system for the visually impaired”. Sensors 6 (2012): 8236-8258.
14. Navid Fallah., et al. “Indoor human navigation systems: A survey”. Interacting with Computers Journal (2013).

Citation

Citation: Moeid M Elsokah and Amer R Zerek. “Next Generation of Indoor Navigation Systems for the Blind". Acta Scientific Computer Sciences 4.9 (2022): 56-62.

Copyright

Copyright: © 2022 Moeid M Elsokah and Amer R Zerek. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.