Abstract
This chapter presents several aspects regarding smart system to help people with low visual acuity, possibilities of integration into wearable systems or in common transport systems around the world, and integration with IoM (Internet of Mobility) and IoMT (Internet of Mobile Things). Also, in this work a few case studies are presented, which describe the use of assistive technology with interfaces based on vision, audio and tactile senses and smart systems integrated into wearable devices that can guide the people with visual impairment.
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References
Ahlmark, D. I. (2016). Haptic Navigation Aids for the Visually Impaired (Doctoral dissertation, Luleå tekniska Universitet, 2016).
Al-Fahoum, A. S., Al-Hmoud, H. B., & Al-Fraihat, A. A. (2013). A smart infrared microcontroller-based blind guidance system. Active and Passive Electronic Components, 2013, 726480.
Bainter, P. S. (2018). Visual field test: Learn how the procedure is performed. Retrieved September 10, 2018, from https://www.medicinenet.com/visual_field_test/article.htm
Barbabella, F., Melchiorre, M. G., Quattrini, S., Papa, R., & Lamura, G. (2017). How can eHealth improve care for people with multimorbidity in Europe? Copenhagen: World Health Organization, Regional Office for Europe.
Berger, A., Vokalova, A., Maly, F., & Poulova, P. (2017). Google glass used as assistive technology its utilization for blind and visually impaired people. In International Conference on Mobile Web and Information Systems (pp. 70–82). Cham: Springer.
Bouck, E. (2015). Assistive technology. Los Angeles, CA: Sage.
Currie, Z., Bhan, A., & Pepper, I. (2000). Reliability of Snellen charts for testing visual acuity for driving: Prospective study and postal questionnaire. BMJ, 321(7267), 990–992.
Dandona, L., & Dandona, R. (2006). Revision of visual impairment definitions in the International Statistical Classification of Diseases. BMC Medicine, 4, 7.
Elgendy, M., & Lanyi, C. S. (2018). Review on smart solutions for people with visual impairment. In International Conference on Computers Helping People with Special Needs (pp. 81–84). Cham: Springer.
EVA. (n.d.). Extended visual assistant. Budapest: EVA. Retrieved October 11, 2018, from http://www.eva.vision/
Frulio, F., Sheikhi, E., Rossazza, L., Perfetto, G., Calvachi, A., Picco, G., & Comai, S. (2017). IOM–Internet of Mobility: A wearable device for outdoor data collection. In International Conference on Smart Objects and Technologies for Social Good (pp. 88–95). Cham: Springer.
Gleeson, M., Sherrington, C., Lo, S., & Keay, L. (2015). Can the Alexander Technique improve balance and mobility in older adults with visual impairments? A randomized controlled trial. Clinical Rehabilitation, 29(3), 244–260.
Gómez, N. L. C., Sánchez, Á. Q., López, E. K. G., & Rocha, M. A. M. (2017). SBK: Smart braille keyboard for learning braille literacy in blind or visually impaired people. In Proceedings of the 8th Latin American Conference on Human-Computer Interaction (p. 26). New York, NY: ACM.
Grussenmeyer, W., & Folmer, E. (2017). Accessible touchscreen technology for people with visual impairments: A survey. ACM Transactions on Accessible Computing (TACCESS), 9(2), 6.
Hartong, D. T., Jorritsma, F. F., Neve, J. J., Melis-Dankers, B. J., & Kooijman, A. C. (2004). Improved mobility and independence of night-blind people using night-vision goggles. Investigative Ophthalmology & Visual Science, 45(6), 1725–1731.
Hersh, M., & Johnson, M. A. (2010). Assistive technology for visually impaired and blind people. Berlin: Springer Science & Business Media.
Hietanen, S. (2014). Mobility as a service. The new transport model. ITS & Transport Management Supplement. Eurotransport, 12(2), 2–4.
Home - Aira. (2018). Retrieved October 11, 2018, from https://aira.io/
Home - Horus. (2018). Retrieved October 11, 2018, from http://horus.tech
Huang, F. C., Wetzstein, G., Barsky, B., & Raskar, R. (2016). U.S. Patent No. 14/823,906. Washington, DC: U.S. Patent and Trademark Office.
iMerciv Inc. (2018). The all new BuzzClip. Toronto, ON: iMerciv Inc. Retrieved October 10, 2018, from https://imerciv.com/
Kammoun, S., Jouffrais, C., Guerreiro, T., Nicolau, H., & Jorge, J. (2012). Guiding blind people with haptic feedback. Frontiers in Accessibility for Pervasive Computing (Pervasive 2012), 3.
Kerkar, P. (2018). Visual impairment: Types, causes, symptoms, treatment, diagnosis. Palm Harbor, FL: PainAssist Inc. Retrieved September 01, 2018, from https://www.epainassist.com/eye-pain/visual-impairment
Kiuru, T., Metso, M., Utriainen, M., Metsävainio, K., Jauhonen, H. M., Rajala, R., … Sylberg, J. (2018). Assistive device for orientation and mobility of the visually impaired based on millimeter wave radar technology—Clinical investigation results. Cogent Engineering, 5, 1450322.
Kumar, P. M., Gandhi, U., Varatharajan, R., Manogaran, G., Jidhesh, R., & Vadivel, T. (2017). Intelligent face recognition and navigation system using neural learning for smart security in Internet of Things. Cluster Computing, 1–12.
Lamkin, P. (2015). Microsoft’s headset for the visually impaired gets voice controls. London: Wareable Ltd.. Retrieved October 10, 2018, from https://www.wareable.com/wearable-tech/microsoft-bone-conduction-headset-for-the-blind-448
MedlinePlus. (2018). Vision impairment and blindness. Bethesda, MD: MedlinePlus. Retrieved October 10, 2018, from https://www.who.int/en/news-room/fact-sheets/detail/blindness-and-visual-impairment
Mihalcea, G., Suciu, G., & Vasilescu, C. (2018). Real-time autonomous system of navigation using a stereoscopic camera. In 2018 International Conference on Communications (COMM) (pp. 497–500). Washington, DC: IEEE.
Munger, R. J., Hilkes, R. G., Perron, M., & Sohi, N. (2017). U.S. Patent No. 9,618,748. Washington, DC: U.S. Patent and Trademark Office.
Nahrstedt, K. (2014). Internet of mobile things: Challenges and opportunities. In PACT (pp. 1–2). New York, NY: ACM.
National Eye Institute. (2018). Facts about retinitis pigmentosa. Bethesda, MD: National Eye Institute. Retrieved September 04, 2018, from https://nei.nih.gov/health/pigmentosa/pigmentosa_facts
Ounapuu, E. (2016). VisioPal - Smart solution to the visually impaired and blind, Tallinn University of Technology, Faculty of Information Technology.
Owsley, C., Ball, K., McGwin, G., Jr., Sloane, M. E., Roenker, D. L., White, M. F., & Overley, E. T. (1998). Visual processing impairment and risk of motor vehicle crash among older adults. JAMA, 279(14), 1083–1088.
Ramadhan, A. J. (2018). Wearable smart system for visually impaired people. Sensors, 18(3), 843.
Research to Prevent Blindness. (2018). Uveitis/infectious diseases. New York, NY: Research to Prevent Blindness. Retrieved September 04, 2018, from https://www.rpbusa.org/rpb/resources-and-advocacy/resources/rpb-vision-resources/infectious-diseases/
Rimmer, J. H., Riley, B., Wang, E., & Rauworth, A. (2005). Accessibility of health clubs for people with mobility disabilities and visual impairments. American Journal of Public Health, 95(11), 2022–2028.
SARA CE. (n.d.). Retrieved September 6, 2018, from http://www.envisiontechnology.org/html/visually_impaired.html#SARA
Schwiegerling, J. (2004). Field guide to visual and ophthalmic optics. Bellingham WA: SPIE.
Seeing AI. (n.d.). Retrieved October 11, 2018, from https://www.microsoft.com/en-us/seeing-ai
Shahrestani, S. (2017). Internet of things and smart environments: Assistive technologies for disability, dementia, and aging. New York, NY: Springer.
Sunu, Inc. (n.d.). It’s your world. Explore it with the Sunu Band. Somerville, MA: Sunu, Inc. Retrieved October 10, 2018, from https://www.sunu.io/en/index.html
Tanna, P., Strauss, R. W., Fujinami, K., & Michaelides, M. (2017). Stargardt disease: Clinical features, molecular genetics, animal models and therapeutic options. British Journal of Ophthalmology, 101(1), 25–30.
To, H., & Régo, N. (2017). eSight 3: A day will come when all legally blind individuals can get esight at no cost. Cool Blind Tech. Retrieved October 12, 2018, from https://coolblindtech.com/esight-3-a-day-will-come-when-all-legally-blind-individuals-can-get-esight-at-no-cost/
Tucker, E. (2017). Maptic is a wearable navigation system for the visually impaired. London: Dezeen. Retrieved October 10, 2018, from https://www.dezeen.com/2017/08/02/maptic-wearable-guidance-system-visually-impaired-design-products-wearable-technology-graduates
van Rheede, J. J., Wilson, I. R., Qian, R. I., Downes, S. M., Kennard, C., & Hicks, S. L. (2015). Improving mobility performance in low vision with a distance-based representation of the visual scene. Investigative Ophthalmology & Visual Science, 56(8), 4802–4809.
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Aileni, R.M., Suciu, G., Suciu, V., Pasca, S., Ciurea, J. (2020). Smart Systems to Improve the Mobility of People with Visual Impairment Through IoM and IoMT. In: Paiva, S. (eds) Technological Trends in Improved Mobility of the Visually Impaired. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-16450-8_3
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