Abstract
At least 2.2 billion people are visually impaired, with the main problem being a lack of autonomy and safety when moving around the city. To solve those needs, a wearable assistive system for vision impairment people, with low cost and open-source applications, integrating machine learning and deep learning was developed. We used a mixed methodology, including semi-structured interviews with visually impaired people and specialists in visually impaired needs, including them both in the design process. This allowed us to have an understatement of the specific needs and to generate improvements in the design. The results are auspicious for the feasibility of this type of development, the main considerations and lessons learned are noted, leaving some opportunities for future research.
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References
World Health Organization: World Report on Vision (2019)
Bourne, R., et al.: Trends in prevalence of blindness and distance and near vision impairment over 30 years: an analysis for the global burden of disease study. Lancet Glob. Heal. 9, e130–e143 (2021). https://doi.org/10.1016/S2214-109X(20)30425-3
Finsterer, J., Scorza, F.A., Scorza, C.A., Fiorini, A.C.: SARS-CoV-2 impairs vision. J. Neuro-Ophthalmology. 41, 166–169 (2021). https://doi.org/10.1097/WNO.0000000000001273
Toro, M.D., et al.: COVID-19 outbreak and increased risk of amblyopia and epidemic myopia: Insights from EUROCOVCAT group. Eur. J. Ophthalmol. 32, 17–22 (2022). https://doi.org/10.1177/11206721211053175
Shalaby, W.S., et al.: The impact of COVID-19 on individuals across the spectrum of visual impairment. Am. J. Ophthalmol. 227, 53–65 (2021). https://doi.org/10.1016/j.ajo.2021.03.016
World Health Organization: Blindness and vision impairment, https://www.who.int/news-room/fact-sheets/detail/blindness-and-visual-impairment. Accessed 05 Jan 2022
World Health Organization: International Classification of Diseases 11th Revision. https://icd.who.int/en
Hernández Flores, M.: Ciegos conquistando la ciudad de México: vulnerabilidad y accesibilidad en un entorno discapacitante. Nueva Antropol. 25 (2012)
Galarce Muñoz, M.I., Pérez-Salas, C.P., Sirlopú, D.: Análisis Comparativo de la participación escolar y bienestar subjetivo en estudiantes con y sin discapacidad en chile. Psykhe (Santiago). 29, 1–16 (2020). https://doi.org/10.7764/psykhe.29.2.1444
Aguilar Díaz, M.Á.: Centralidad de los sentidos. Encartes. 3, 29–55 (2020). https://doi.org/10.29340/en.v3n5.136
Sandoval-Pillajo, L., Pusdá, M., Garrido, F., Herrera, E.: Sistema embebido para movilidad de personas con discapacidad visual. Rev. Ibérica Sist. e Tecnol. Informação. 19, 328–340 (2019)
Ministerio de Educación Española: Educación Inclusiva: Tiflotecnología. http://www.ite.educacion.es/formacion/materiales/129/cd/unidad_10/m10_tiflotecnologia.htm. Accessed 28 Dec 2021
Riazi, A., Riazi, F., Yoosfi, R., Bahmeei, F.: Outdoor difficulties experienced by a group of visually impaired Iranian people. J. Curr. Ophthalmol. 28, 85–90 (2016). https://doi.org/10.1016/j.joco.2016.04.002
Dunai, L., Lengua, I., Tortajada, I., Brusola, F.: Obstacle detectors for visually impaired people. In: International Conference on Optimization of Electrical and Electronic Equipment (OPTIM), pp. 809–816 (2014)
Alvarado, J.D., Mosquera, V.H.: Sistema de detección de obstáculos para invidentes. Visión Electrónica, Algo Más que un Estado Sólido. 10, 7 (2016)
Jafri, R., Campos, R.L., Ali, S.A., Arabnia, H.R.: Visual and infrared sensor data-based obstacle detection for the visually impaired using the google project tango tablet development kit and the unity engine. IEEE Access. 6, 443–454 (2018). https://doi.org/10.1109/ACCESS.2017.2766579
Gbenga, D.E., Shani, A.I., Adekunle, A.L.: 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
Filipe, V., Fernandes, F., Fernandes, H., Sousa, A., Paredes, H., Barroso, J.: Blind navigation support system based on microsoft kinect. Procedia Comput. Sci. 14, 94–101 (2012). https://doi.org/10.1016/j.procs.2012.10.011
Yang, K., Wang, K., Lin, S., Bai, J., Bergasa, L.M., Arroyo, R.: Long-range traversability awareness and low-lying obstacle negotiation with realsense for the visually impaired. In: Proceedings of the 2018 International Conference on Information Science and System, pp. 137–141. ACM, New York, NY, USA (2018). https://doi.org/10.1145/3209914.3209943
Long, N., Wang, K., Cheng, R., Yang, K., Hu, W., Bai, J.: Assisting the visually impaired: multitarget warning through millimeter wave radar and RGB-depth sensors. J. Electron. Imaging. 28, 1 (2019). https://doi.org/10.1117/1.JEI.28.1.013028
Agiwal, M., Kwon, H., Park, S., Jin, H.: A survey on 4G–5G dual connectivity: road to 5G implementation. IEEE Access. 9, 16193–16210 (2021). https://doi.org/10.1109/ACCESS.2021.3052462
Zafarullah Noohani, M., Ullah Magsi, K.: Review of 5G technology: architecture, security and wide applications. Int. Res. J. Eng. Technol. 7, 3440–3471 (2020). https://doi.org/10.5281/zenodo.3842353
Araya, S., et al.: Design of a system to support certification management with an adaptive architecture. In: 2021 16th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–6 (2021). https://doi.org/10.23919/CISTI52073.2021.9476390
Nagarajan, A., Sindhuja, K., Balamurugan, C.R.: Smart glass with voice recognition and visual processing facility for visually imparied people. SEEE Digib. Eng. Technol. 1 (2018)
Vasquez Salazar, R.D., Cardona Mesa, A.A.: Dispositivos de asistencia para la movilidad en personas con discapacidad visual: una revisión bibliográfica. Rev. Politécnica. 15, 107–116 (2019). https://doi.org/10.33571/rpolitec.v15n28a10
Esparza-Maldonado, A., Margain-Fuentes, L., Álvarez-Rodríguez, F., Benítez-Guerrero, E.: Desarrollo y evaluación de un sistema Interactivo para personas con discapacidad visual. TecnoLógicas. 21, 149–157 (2018)
Márquez-Olivera, M., Juárez-Gracia, A.-G., Hernández-Herrera, V., Argüelles-Cruz, A.-J., López-Yáñez, I.: System for face recognition under different facial expressions using a new associative hybrid model amαβ-knn for people with visual impairment or prosopagnosia. Sensors. 19, 578 (2019). https://doi.org/10.3390/s19030578
Escaida Villalobos, I., Jara Valdés, P., Letzkus Palavecino, M.: Mejora de procesos productivos mediante lean manufacturing. Trilogía. 28, 26–55 (2016)
Khalid, L.: Software Architecture for Business. Springer International Publishing, Cham (2020). https://doi.org/10.1007/978-3-030-13632-1
Corbetta, P.: Metodología y Técnicas de Investigación Social. McGraw-Hill, Madrid (2007)
Solanki, K., Pittalia, P.: Review of face recognition techniques. Int. J. Comput. Appl. 133, 20–25 (2016)
Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans. Pattern Anal. Mach. Intell. 39, 1137–1149 (2017). https://doi.org/10.1109/TPAMI.2016.2577031
Fan, K., Baek, S.J.: A robust proposal generation method for text lines in natural scene images. Neurocomputing 304, 47–63 (2018). https://doi.org/10.1016/j.neucom.2018.03.041
Ahmad, N.S., Boon, N.L., Goh, P.: Multi-sensor obstacle detection system via model-based state-feedback control in smart cane design for the visually challenged. IEEE Access. 6, 64182–64192 (2018). https://doi.org/10.1109/ACCESS.2018.2878423
Hevner, A., Chatterjee, S.: Design Research in Information Systems. Springer US, Boston, MA (2010). https://doi.org/10.1007/978-1-4419-5653-8
Fundacion Auna: Las Personas con Discapacidad Frente a las Tecnologías de la Información y las Comunicaciones en España. Fundación Auna-Ministerio de Trabajo de Asuntos Sociales, Madrid (2003)
Schrott, H.: Diseñar para los discapacitados. Rev. la OMPI. 5, 32 (2009)
López Delgado, A., Olmedo, E., Tadeu, P., Fernández Batanero, J.M.: Propuesta de las condiciones de las Aplicaciones móviles, para la construcción de un Entorno de Accesibilidad Personal para usuarios con discapacidad visual en las Smart Cities. Aula Abierta. 48, 193 (2019). https://doi.org/10.17811/rifie.48.2.2019.193-202
IEEE: Standard Glossary of Software Engineering Terminology (Std 610.12–1990). IEEE (1990)
Zhang, S., Wen, L., Bian, X., Lei, Z., Li, S.Z.: Single-shot refinement neural network for object detection. In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 4203–4212. IEEE (2018). https://doi.org/10.1109/CVPR.2018.00442
Sharma, S., Bhatt, M., Sharma, P.: Face Recognition system using machine learning algorithm. In: 2020 5th International Conference on Communication and Electronics Systems (ICCES), pp. 1162–1168. IEEE (2020). https://doi.org/10.1109/ICCES48766.2020.9137850
Zhao, Y., Wu, S., Reynolds, L., Azenkot, S.: A Face recognition application for people with visual impairments. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, pp. 1–14. ACM, New York, NY, USA (2018). https://doi.org/10.1145/3173574.3173789
Cardillo, E., et al.: An electromagnetic sensor prototype to assist visually impaired and blind people in autonomous walking. IEEE Sens. J. 18, 2568–2576 (2018). https://doi.org/10.1109/JSEN.2018.2795046
Acknowledgements
This research was funded by University of Bio-Bio grant number 2060222 IF/R and 2160277 GI/EF. And the Research Department (VRI) of Universidad Andres Bello grant number DI-12-20/REG.
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He-Astudillo, Y. et al. (2022). Design of a Wearable Assistive System for Visually Impaired People. In: Saeed, K., Dvorský, J. (eds) Computer Information Systems and Industrial Management. CISIM 2022. Lecture Notes in Computer Science, vol 13293. Springer, Cham. https://doi.org/10.1007/978-3-031-10539-5_9
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