A Context-Aware Artificial Intelligence-based System to Support Street Crossings For Pedestrians with Visual Impairments

References

• Balasuriya, B. K., N. P. Lokuhettiarachchi, A. R. M. D. N. Ranasinghe, K. D. C. Shiwantha, and C. Jayawardena. 2017. Learning platform for visually impaired children through artificial intelligence and computer vision 2017 11th International Conference on Software, Knowledge, Information Management and Applications (SKIMA) (Manhattan, New York, U.S.: IEEE) Colombo, Sri Lanka 1–2821 doi:10.1109/SKIMA.2017.8294106.
   Google Scholar
• Baumgatner, A., T. Rohrbach, and P. Schönhagen. 2021. ‘if the phone were broken, i’d be screwed’: Media use of people with disabilities in the digital era. Disability and Society 1–25. doi:10.1080/09687599.2021.1916884.
   Web of Science ®Google Scholar
• Brunetti, A., D. Buongiorno, G. F. Trotta, and V. Bevilacqua. 2018. Computer vision and deep learning techniques for pedestrian detection and tracking: A survey. Neurocomputing 300:17–33. Retrieved from https://www.sciencedirect.com/science/article/pii/S092523121830290X
   Web of Science ®Google Scholar
• Cheng, R., K. Wang, K. Yang, N. Long, J. Bai, and D. Liu. August 2018. Real-time pedes- trian crossing lights detection algorithm for the visually impaired. Multimedia Tools and Applications 77(16):20651–71. doi: 10.1007/s11042-017-5472-5.
   Web of Science ®Google Scholar
• Cheng, R., K. Wang, K. Yang, N. Long, and H. Weijian. October 2017. Crosswalk navigation for people with visual impairments on a wearable device. Journal of Electronic Imaging 26:1.
   Web of Science ®Google Scholar
• Chinchole, S., and S. Patel. 2017. Artificial intelligence and sensors based assistive system for the visually impaired people. 2017 International Conference on Intelligent Sustainable Systems (ICISS) SCAD Institute of Technology, Palladam, India . 16–19 doi:10.1109/ISS1.2017.8389401.
   Google Scholar
• Ghilardi, M. C., G. Simões, J. Wehrmann, I. H. Manssour, and R. C. Barros. 2018 Real-Time Detection of Pedestrian Traffic Lights for Visually-Impaired People 2018 International Joint Conference on Neural Networks (IJCNN) Rio de Janeiro, Brazil. 1–8 doi:10.1109/IJCNN.2018.8489516.
   Google Scholar
• Habib, A., M. Islam, M. Kabir, M. Mredul, and M. Hasan. 2019, November. Staircase detec- tion to guide visually impaired people: A hybrid approach. ( Retrieved from) Revued’Intelligence Artificielle 33 (5):327–34. doi: 10.18280/ria.330501.
   Google Scholar
• Hakobyan, L., J. Lumsden, D. O’Sullivan, and H. Bartlett. September 2013. Mobile assistive technologies for the visually impaired. Survey of Ophthalmology 58(6):513–28. doi: 10.1016/j.survophthal.2012.10.004.
   PubMed Web of Science ®Google Scholar
• Henry, S. (2007). Just ask: Integrating accessibility throughout design. Lulu.com. Retrieved from https://books.google.es/books?id=hRnpXbFB06cC
   Google Scholar
• Ihejimba, C., and R. Z. Wenkstern. 2020. Detectsignal: Acloud-based traffic signal notification system for the blind and visually impaired, 2020 IEEE International Smart Cities Conference (ISC2) , 1–6 doi:10.1109/ISC251055.2020.9239004.
   Google Scholar
• Islam, M. M., and M. S. Sadi. 2018. Path Hole Detection to Assist the Visually Impaired People in Navigation 2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT) Bangladesh (Manhattan, New York, U.S.: IEEE) 268–73 doi:10.1109/CEEICT.2018.8628134.
   Google Scholar
• Khan, A., S. Khusro, and J. D. Camba. 2020. An insight into smartphone-based assistive solutions for visually impaired and blind people: Issues, challenges and opportunities. Universal Access in the Information Society 1–34. doi:10.1007/s10209-020-00776-x.
   PubMed Web of Science ®Google Scholar
• Krajnc, E., J. Feiner, and S. Schmidt. 2010. User centered interaction design for mobile applications focused on visually impaired and blind people. In Leitner, G., Hitz, M., Holzinger, A. (eds) HCI in Work and Learning, Life and Leisure. USAB 2010. Lecture Notes in Computer Science. 195–202. Berlin, Heidelberg: Springer-Verlag. doi:10.1007/978-3-642-16607-5_12
   Google Scholar
• Lancioni, G. E., N. N. Singh, M. F. O’Reilly, J. Sigafoos, G. Alberti, V. Chiariello, and L. Carrella. 2020. Everyday technology to support leisure and daily activities in people with intellectual and other disabilities. Developmental Neurorehabilitation PMID: 32118503. 23 (7):431–38. doi:10.1080/17518423.2020.1737590.
   PubMed Web of Science ®Google Scholar
• Li, X., H. Cui, J.-R. Rizzo, E. Wong, and Y. Fang. 2019. Cross-safe: Acomputer vision-based approach to make all intersection-related pedestrian signals accessible for the visually impaired , April. Arai, K., Kapoor, S. (eds) Advances in Computer Vision. CVC 2019. Advances in Intelligent Systems and Computing 944 . In (pp. 132146). 132146). Switzerland: Springer International Publishing 978-3-030-17798-0. doi:10.1007/978-3-030-17798-0_13
   Google Scholar
• Mahmud, S., R. Haque Sourave, M. Islam, X. Lin, and J.-H. Kim. 2020. A vision based voice controlled indoor assistant robot for visually impaired people. 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) (Manhattan, New York, U.S.) . 1–6 doi:10.1109/IEMTRONICS51293.2020.9216359.
   Google Scholar
• Molina-Cantero, A. J., C. Lebrato-Vázquez, M. Merino-Monge, R. Quesada-Tabares, J. A. Castro- García, and I. M. Gómez-González. 2019. Communication technologies based on voluntary blinks: Assessment and design. IEEE Access 7:70770–98. doi:10.1109/ACCESS.2019.2919324.
   Web of Science ®Google Scholar
• Montanha, A., M. J. Escalona, F. J. Dominguez-Mayo, and A. M. Polidorio. 2016. A technological innovation to safely aid in the spatial orientation of blind people in a complex urban environment 2016 International Conference on Image, Vision and Computing (ICIVC) . August. Manhattan, New York, U.S.: IEEE 102–107. doi:10.1109/ICIVC.2016.7571281.
   Google Scholar
• Montanha, A., A. M. Polidorio, and M. Romero-Ternero April 2021. New signal location method based on signal-range data for proximity tracing tools. Journal of Network and Computer Applications 180:103006. doi: 10.1016/j.jnca.2021.103006.
   PubMed Web of Science ®Google Scholar
• Qureshi, H. H., and D. H.-T. Wong. 2019. A systematic literature review on user-centered design (UCD) interface of mobile application for visually impaired people, HCI International 2019 – Late Breaking Posters . (pp. 168175). Springer International Publishing, 168–175. doi:10.1007/978-3-030-30712-7_23.
   Google Scholar
• Retorta, M., and V. Cristovão. July 2017. Visually-impaired Brazilian students learning English with smartphones: Overcoming limitations. Languages 2(3):12. doi: 10.3390/languages2030012.
   Google Scholar
• Suzuki, L. R. 2017. Smart cities IoT: Enablers and technology road map. In Smart City Networks: Through the Internet of Things, 167–90. ISBN: 978-3-319-61313-0. doi:10.1007/978-3-319-61313-0_10. Berlin: Springer International Publishing.
   Google Scholar
• Tian, S., M. Zheng, W. Zou, X. Li, and L. Zhang. 2021. Dynamic crosswalk scene under- standing for the visually impaired. IEEE Transactions on Neural Systems and Rehabilitation Engineering 29 (29):1478–86. doi:10.1109/TNSRE.2021.3096379.
   PubMedGoogle Scholar
• World Health Organization. (2021, October). Blindness and vision impairment. Retrieved from https://www.who.int/news-room/fact-sheets/detail/blindness-and-visual-impairment
   Google Scholar
• World Wide Web Consortium”. (2008, December). Web content accessibility guidelines 2.0. Retrieved from https://www.w3.org/
   Google Scholar
• Yang, K., R. Cheng, L. M. Bergasa, E. Romera, K. Wang, and N. Long. 2018. Intersection perception through real-time semantic segmentation to assist navigation of visually impaired pedestrians. In 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO) (Manhattan, New York, U.S.: IEEE), 1034–39 doi:10.1109/ROBIO.2018.8665211.
   Google Scholar
• Yu, S., H. Lee, and J. Kim. 2019. Street Crossing Aid Using Light-Weight CNNs for the Visually Impaired IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) 2019 , October. Manhattan, New York, U.S.: IEEE doi:10.1109/ICCVW.2019.00317.
   Google Scholar