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A Low Cost and Enhanced Assistive Environment for People with Vision Loss

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Advanced Computing and Intelligent Technologies

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 218))

Abstract

Usually, people with vision disabilities can be seen using white canes, which are static devices and are used for navigation around. The limitation of commonly used static mobility devices is their inability to perceive the surroundings around them. To provide a real-time visual experience to people with vision loss, a system with dynamic abilities is required. With this aim, in this paper, an advanced vision-enhancing architecture is proposed for visually impaired people to provide them a real-time experience of the surroundings along with navigation assistance through voice rendering. The framework of the proposed system is based on advanced technologies like IoT (Internet of Things), Machine learning, and Computer Vision. The proposed architecture is aimed to build a low-cost wearable device that will act as a guiding agent for a visually impaired person so that the individual can get to know about the things around with precision and ease both in an indoor as well as outdoor environment.

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References

  1. WHO Article on Blindness and Vision Impairment. https://www.who.int/news-room/fact-sheets/detail/blindness-and-visual-impairment. Accessed 10 Nov 2020

  2. Census Data. www.censusindia.gov.in › 2011census › Disability_Data. Accessed 12 Nov 2020

  3. Dandona, R., Pandey, A., George, S., Kumar, G.A., Dandona, L.: India’s disability estimates: limitations and way forward. PLoS ONE 14(9), e0222159 (2019). https://doi.org/10.1371/journal.pone.0222159

  4. Artificial Intelligence Helping the Visually Impaired. https://www.cognixia.com/blog/artificial-intelligence-helping-the-visually-impaired

  5. Nayyar, A., Puri, V., Nguyen, N.G.: BioSenHealth 1.0: a novel internet of medical things (IoMT)-based patient health monitoring system. In: Bhattacharyya, S., Hassanien, A., Gupta, D., Khanna, A., Pan, I. (eds.), International Conference on Innovative Computing and Communications. Lecture Notes in Networks and Systems, vol. 55. (Springer, Singapore, 2019). https://doi.org/10.1007/978-981-13-2324-9_16

  6. Alzubi, J.A., Manikandan, R., Alzubi, O.A., Gayathri, N., Patan, R.: A survey of specific IoT applications. Int. J. Emerg. Technol. (2019). https://doi.org/10.14419/ijet.v7i2.7.11089

  7. Alzubi, J.A., Selvakumar, J., Alzubi, O.M., Manikandan, R.: Decentralized internet of things. Indian J. Public Health Res. Develop. (2019). https://doi.org/10.5958/0976-5506.2019.00295.X

  8. Pandey, R.S., Upadhyay, R., Kumar, M., Singh, P., Shukla, S.: IoT-based help age sensor device for senior citizens. In: Khanna, A., Gupta, D., Bhattacharyya, S., Snasel, V., Platos, J., Hassanien, A. (eds.), International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol. 1059. (Springer, Singapore, 2020). https://doi.org/10.1007/978-981-15-0324-5_16

  9. Ilag, B.N., Athave, Y.: A design review of smart stick for the blind equipped with obstacle detection and identification using artificial intelligence. Int. J. Comput. Appl. 182, 55–60 (2019). https://doi.org/10.5120/ijca2019918768

  10. Pruthvi, S., Pushyap, S.N., Ravin, R.M., Kumar, S.S., Tiwari, S.: Smart blind stick using artificial intelligence. Int. J. Eng. Adv. Technol. (IJEAT) ISSN 8(5S), 2249–8958 (2019)

    Google Scholar 

  11. Teodorescu, H.N., Jain, L.: Intelligent systems and technologies in rehabilitation engineering (2001)

    Google Scholar 

  12. Shepherd, I.: Providing learning support for blind and visually impaired students undertaking fieldwork and related activities (2001)

    Google Scholar 

  13. Gharat, M., Patanwala, R., Ganaparthi, A.: Audio guidance system for blind Int. Conf. Electron. Commun. Aerosp. Technol. (ICECA) Coimbatore 2017, 381–384. https://doi.org/10.1109/ICECA.2017.8203710

  14. Rajan, K., Kalaiselvan, E.: Intelligent navigation system for blind people with real time tracking. Int. J. Eng. Res. Technol. 3(22) (2015)

    Google Scholar 

  15. Cecílio, J., Duarte, K., Furtado, P.: BlindeDroid: an information tracking system for real-time guiding of blind people Proced. Comput. Sci. 52, 113–120 (2015). https://doi.org/10.1016/j.procs.2015.05.039

  16. Dabrowski, A., Kardys, P., Marciniak, T.: Bluetooth technology applications dedicated to supporting blind and hearing as well as speech handicapped people. In: ELMAR, 47th International Symposium, June 2005, pp. 295–298 (2005)

    Google Scholar 

  17. Mahmud, N., Saha, R.K., Zafar, R.B., Bhuian, M.B.H., Sarwar, S.S.: Vibration and voice operated navigation system for visually impaired person. In: 2014 International Conference on Informatics, Electronics & Vision (ICIEV), Dhaka, pp. 1–5 (2014). https://doi.org/10.1109/ICIEV.2014.6850740.

  18. Maragatharajan, M., Jegadeeshwaran, G., Askash, R., Aniruth, K., Sarath, A.: Obstacle detector for blind peoples. Int. J. Eng. Adv. Technol. (IJEAT) ISSN 9(1S4), 2249–8958 (2019)

    Google Scholar 

  19. Jiang, R., Lin, Q., Qu, S.: Let blind people see: real-time visual recognition with results converted to 3D audio (2016)

    Google Scholar 

  20. Islam, J.H., Sanjidul, H., Jamil, H.: Guidance system for visually impaired person (2016)

    Google Scholar 

  21. Hagargund, A.G., Thota, S.V., Bera, M., Shaik, F.E.: Image to speech conversion for visually impaired. Int. J. Latest Res. Eng. Technol. (IJLRET) 3(6) (2017)

    Google Scholar 

  22. Dada, E., Shani, A., Adekunle, A.: Smart walking stick for visually impaired people using ultrasonic sensors and arduino. Int. J. Eng. Technol. 9, 3435–3447 (2017). https://doi.org/10.21817/ijet/2017/v9i5/170905302.

  23. Introduction of Taptapsee App. https://www.taptapseeapp.com. Accessed 20 Nov 2020

  24. Project: Smart Shoes for Blind Person. https://innovate.mygov.in/innovation/smart-shoes-for-blind-person/. Accessed 9 Oct 2020

  25. Orcam MyEye-Overview. www.orcam.com/en/myeye2. Accessed 5 Oct 2020

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Vashisth, T., Khareta, R., Bhati, N., Samsani, V.C., Sharma, S. (2022). A Low Cost and Enhanced Assistive Environment for People with Vision Loss. In: Bianchini, M., Piuri, V., Das, S., Shaw, R.N. (eds) Advanced Computing and Intelligent Technologies. Lecture Notes in Networks and Systems, vol 218. Springer, Singapore. https://doi.org/10.1007/978-981-16-2164-2_20

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