Technology-Based Social Innovation: Smart City Inclusive System for Hearing Impairment and Visual Disability Citizens
Abstract
:1. Introduction
2. Inclusive Early Warning System
- For a successful implementation, effective coordination with local authorities, leaders, and residents is required.
- The design is adapted to the conditions of the basin to be installed and has a multidisciplinary team with defined responsibilities and who are motivated towards its execution.
- The UTP will initially provide support from a Research Center with instruments and resources.
- This design meets Sustainable Development Goals SDG 5 (gender equality), SDG 10 (reduction of inequalities), SDG 11 (sustainable cities and communities), and SDG 17 (partnerships to achieve the goals).
3. Mobility of PwVD in Public Passenger Transport and Inside Buildings
3.1. Public Transportation Design
3.2. Designs for Moving around Inside Buildings
- Training stage. After the development of the proposed systems, each research group will train the PwVDs in the use of these systems and in the action protocol that they must carry out during their use.
- Stage of loading the building floor plan. When the PwVDs are going to access a building, specifically a floor of it, they can load the access plan to it in relation to the sensors and the database that are installed in it, although it is also contemplated that they carry the floor plan previously, downloaded from a project server. These plans may vary in detail depending on the complexity of the building. The project will consider building floor plans of institutions that cooperate with the project.
- Navigation stage. The PwVD will be able to navigate in the building but taking into account a specific route (at the same time) that they will be able to load at the beginning of their route, or before entering the building. Inside the plant, the systems that the PwVDs carry will interact with the sensors installed inside the building, which are mainly iBeacons devices and RFID tags.
- Arrival at the destination point. Finally, the PwVDs will reach the destination point previously established in the system they have used, the app, or the RF modules.
4. Dashboard and Data Driven Decision-Making
- Facilitates data entry to the information system designed;
- Friendly and intuitive, making it easy to update;
- Facilitates their growth;
- An information system accessible to citizens;
- A site with data that allow R + D + i activities and that always know the situation.
5. Model Discussion
5.1. Support System Designed for Inclusion
- Before an imminent head of water or flood. In this case, it covers people who are in the areas vulnerable to flooding in the hydrographic basins that have the system installed.
- In an emergency occurring in public transport or in indoor building environments. Upon receiving this signal, the subscribers, if they are PwVD or people with hearing disabilities, will receive the action protocol on the device they carry so that they can evacuate and move to the nearest safe area. Simultaneously, the legal guardian of these people will receive a notification on their mobile phone, indicating the route, code, and address where the bus is located, or the address and name of the building.
- Visualization of risk areas and data of the types of risk are contained in the risk monitoring dashboard of the municipality of the subscriber. The person will be able to evaluate at any time the existing risk levels, considering the most appropriate actions according to the case. In the case of PwVD or people with a hearing disability, they will listen or read the risk level of the area where they want to be or visit.
5.2. Design and Implementation Phases
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Acknowledgments
Conflicts of Interest
References
- The World Bank. Discapacidad. Entendiendo a la Pobreza. 19 March 2021. Available online: https://www.bancomundial.org/es/topic/disability (accessed on 5 October 2021).
- Whicker, J.J.; Muñoz, K.; Nelson, L.H. Parent challenges, perspectives and experiences caring for children who are deaf or hard-of-hearing with other disabilities: A comprehensive review. Int. J. Audiol. 2019, 58, 5–11. [Google Scholar] [CrossRef] [PubMed]
- Thomaz, E.B.A.F.; Costa, E.M.; Goiabeira, Y.N.L.d.A.; Rocha, T.A.H.; Rocha, N.C.S.; Marques, M.C.d.O.; Queiroz, R.C.d.S. Accessibility to people with motor, visual, or hearing disabilities during delivery and childbirth: The structure of SUS facilities linked to Rede Cegonha. Cien Saude Colet. 2021, 26, 897–908. [Google Scholar] [CrossRef]
- Rodríguez, A.; Alain, L. Competencia comunicativa de escolares panameños/as con discapacidad auditiva básica para su inserción social. Rev. Prisma Soc. 2018, 21, 458–479. [Google Scholar]
- Rodríguez-Fuentes, A.; Alain, L.; García, F. EnSenias: Technological tool to learn, teach, improve and use Panamanian Sign Language. Ikala Rev. Leng. Cult. 2020, 25, 663–678. [Google Scholar]
- Owei, V.; Abiodun, O.B.; Aniebonam, M. Addressing the information technology skills shortage in developing countries: Tapping the pool of disabled users. J. Inf. Commun. Ethics Soc. 2006, 4, 77–89. [Google Scholar] [CrossRef]
- Stefanov, D.H.; Bien, Z.; Bang, W.-C. The smart house for older persons and persons with physical disabilities: Structure, technology arrangements, and perspectives. IEEE Trans. Neural Syst. Rehabil. Eng. 2004, 12, 228–250. [Google Scholar] [CrossRef] [PubMed]
- Zaruba, G.; Kamangar, F.; Huber, M.; Levine, D. CONNECT: A personal remote messaging and monitoring system to aid people with disabilities. IEEE Commun. Mag. 2005, 43, 101–109. [Google Scholar] [CrossRef]
- Deno, S.L. Reflections on Progress Monitoring and Data-Based Intervention. In Special Education Past, Present, and Future: Perspectives from the Field; Advances in Learning and Behavioral Disabilities; Emerald Group Publishing Limited: Bingley, UK, 2014; Volume 27, pp. 171–194. [Google Scholar] [CrossRef]
- Montes, H.; Chang, I.; Carballeda, G.; Muñoz, J.; Saez, Y.; Vejarano, R.; García, A. Conceptual Design of Technological Systems for the Mobility of Visual Impairment People in Indoor Buildings. In Proceedings of the 7th International Engineering, Sciences and Technology Conference (IESTEC), Panama City, Panama, 9–11 October 2019; IEEE Xplore Digital Library: New York, NY, USA, 2019; pp. 647–652. [Google Scholar]
- Freitas, D.J.; Marcondes, T.B.; Nakamura LH, V.; Ueyama, J.; Gomes, P.H.; Meneguette, R.I. Combining cell phones and WSNs for preventing accidents in smart-homes with disabled people. In Proceedings of the 7th International Conference on New Technologies, Mobility and Security (NTMS), Paris, France, 27–29 July 2015; pp. 1–5. [Google Scholar] [CrossRef]
- Montes, H.; Chang, I.; Carballeda, G.; Muñoz, J.; García, A.; Vejarano, R.; Sáez, Y. 2018 Design of a System to Support the Mobility of Visually Impaired People. In Robotics Transforming the Future, Proceedings of the 21st International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, Panama City, Panama, 10–12 September 2018; CLAWAR Association: High Wycombe, UK, 2018; pp. 37–44. [Google Scholar]
- Crialesi, R.; De Palma, E. Monitoring People with Disabilities: The Italian Experience. In International Views on Disability Measures: Moving Toward Comparative Measurement; Altman, B.M., Barnartt, S.N., Eds.; Research in Social Ciencia y discapacidad; Emerald Group Publishing Limited: Bingley, UK, 2006; Volume 4, pp. 159–176. [Google Scholar] [CrossRef]
- Kong, S.; López-Salcedo, J.A.; Wu, Y.; Kim, E. IEEE Access Special Section Editorial: GNSS, Localization, and Navigation Technologies. IEEE Access 2019, 7, 131649–131652. [Google Scholar] [CrossRef]
- Das, A.; Mitra, S.; Sen, S. People with Disabilities: The Helping Hand of IoT. In Machine Learning and IoT, 1st ed.; eBook; CRC Press: Boca Raton, FL, USA; Taylor & Francis Group: Boca Raton, FL, USA, 2018; ISBN 9781351029940. [Google Scholar]
- Ismaeel, A.G. Home Automation System Support for Persons with Different Types of Disabilities using IoT. In Proceedings of the 1st International Multi-Disciplinary Conference Theme: Sustainable Development and Smart Planning, IMDC-SDSP 2020, Cyperspace, 28–30 June 2020. Cyberspace Copyright © 2020 EAI: Gent, Belgium. [Google Scholar] [CrossRef]
- Istomina, T.; Nikolsky, A.; Petrunina, E.; Svetlov, A.; Bayramov, E.; Chuvykin, B. Car Internet cyberbiological system for persons with disabilities. In Proceedings of the 2019 International Seminar on Electron Devices Design and Production (SED), Prague, Czech Republic, 23–24 April 2019; pp. 1–5. [Google Scholar] [CrossRef]
- Alam, S.; Mahmud, M.S.; Yeasin, M. Toward Building Safer Smart Homes for the People with Disabilities. Human-Computer Interaction (cs.HC). arXiv 2020, arXiv:2006.05907. [Google Scholar]
- Montes, H.; Chang, I.; Carballeda, G.; Muñoz, J.; García, A.; Vejarano, R.; Armada, M. MOVIDIS: First steps toward help the mobility of people with visual disability in Panama. In RoboCity16 Open Conference on Future Trends in Robotics; CSIC: Madrid, Spain, 2016; pp. 211–218, Capítulo 26. Available online: https://www.car.upm-csic.es/wp-content/uploads/2016/03/Proceedings_RoboCity16_web_version_02.pdf (accessed on 1 October 2021).
- Carballeda, G.; Arcia, A.; Pérez, R.; Montes, H. Aplicación móvil para el monitoreo de personas con discapacidad visual. In Proceedings of the VII Congreso Intl sobre Aplic. de Tecs de la Información y Comunicaciones Avanzadas (ATICA2016), Cuenca, Ecuador, 9–11 November 2016; pp. 93–100. Available online: https://atica.web.uah.es/documentos/LibroActasATICA2016v1.pdf (accessed on 1 October 2021).
- Henríquez, A.; Vejarano, R.; Montes, H. OGeo: Aplicación para Ayuda en la Movilidad de Personas con Discapacidad Visual. In Proceedings of the 8º Congreso Intl sobre Aplic. de Tecs de la Información y Comunicaciones Avanzadas (ATICA2017), Medellín, Colombia, 25–27 October 2017; pp. 188–196. [Google Scholar]
- Vejarano, R.; Henríquez, A.; Montes, H. Sistema para la interacción activa con autobuses de rutas urbanas de Panamá para personas con discapacidad visual. I+D Tecnológico 2018, 14, 17–23. Available online: http://revistas.utp.ac.pa/index.php/id-tecnologico/article/view/2069 (accessed on 15 October 2021). [CrossRef]
- Sáez, Y.; Montes, H.; García, A.; Muñoz, J.; Collado, E.; Mendoza, R. Indoor navigation technologies based on RFID systems to assist visually impaired people: A review and a proposal. IEEE Lat. Am. Trans. 2021, 19, 1286–1298. Available online: https://latamt.ieeer9.org/index.php/transactions/article/view/4454 (accessed on 15 October 2021). [CrossRef]
- García, A.; Sáez, Y.; Muñoz, J.; Chang, I.; Montes, H. Utilización de la comunicación por radiofrecuencia para la detección de vehículos en movimiento: Revisión del estado del arte. In Proceedings of the 6th Conference Engineering, Science and Technology Conference (ESTEC 2017), Panama City, Panama, 11–13 October 2017; pp. 821–831. Available online: https://knepublishing.com/index.php/KnE-Engineering/article/download/1503/3571 (accessed on 15 October 2021).
- Gómez, M.; Rodríguez, V.; Vejarano, R.; Montes, H. OGEO: Sistema de Navegación Interior para la Orientación y Movilidad de Personas con Discapacidad Visual. RETOS XXI. 2020, Volume 4, pp. 1–17. Available online: https://revistas.utp.ac.pa/index.php/retoxxi/article/view/2788 (accessed on 15 October 2021). [CrossRef]
- Gómez, M.; Vejarano, R.; Montes, H. Mejoramiento de la capacidad de respuesta del sistema OGeo. In Apl. de Tecnologías de la Información y Comunicaciones Avanzadas y Accesibilidad; Universidad de Alcalá: Madrid, Spain, 2020; Volume 32, pp. 384–391. Available online: https://atica.web.uah.es/documentos/LibroActasATICA2020.pdf (accessed on 15 October 2021).
- Chang, I.; García, A.; García, E. Design of an Inclusive Early Warning System. Case of Basin of Pacora River, Panama. Advances in Automation and Robotics Research. In Proceedings of the 2nd Latin American Congress on Automation and Robotics, Cali, Colombia, 30 October–1 November 2019; pp. 224–235. [Google Scholar]
- Comisión Europea; Copernicus. Europe’s eye on Earth; European Commission Directorate-General for Communication Publications: Brussels, Belgium, 2014; Available online: https://www.copernicus.eu/en (accessed on 1 October 2021).
- Acosta, M.A. Sistemas de Alerta Temprana (S.A.T) para la Reducción del Riesgo de Inundaciones Súbitas y Fenómenos Atmosféricos en el Área Metropolitana de Barranquilla. Sci. Tech. 2013, 18, 303–308. Available online: https://revistas.utp.edu.co/index.php/revistaciencia/article/view/8661 (accessed on 1 October 2021).
- Gómez, N.E.; Turizo, F. Safety and health at work in Colombia: Challenges against persons with disabilities. Rev. CES Derecho 2016, 7, 94. Available online: https://revistas.ces.edu.co/index.php/derecho/article/view/4075 (accessed on 1 October 2021).
- Cvetković, V.M. Innovative Solutions for Disaster Early Warning and Alert Systems: A Literary Review. Res. Sq. 2021, 11, 367–378. [Google Scholar] [CrossRef]
- Marchezini, V.; Trajber, R.; Olivato, D.; Aguilar, V.; Oliveira, F.; Oliveira, A.E. Participatory Early Warning Systems: Youth, Citizen Science, and Intergenerational Dialogues on Disaster Risk Reduction in Brazil. Int. J. Disaster Risk Sci. 2017, 8, 390–401. [Google Scholar] [CrossRef] [Green Version]
- Dávila, D. Sistemas de Alerta Temprana ante Inundaciones en América Latina; Flood Resilience Portal, Ed.; Soluciones Prácticas—Practical Actions: San Isidro, Peru, 2016; p. 59. Available online: http://repo.floodalliance.net/jspui/handle/44111/1793 (accessed on 1 October 2021).
- Peralvo, A.M. Propuesta para la implementación de un Sistema de Alerta Temprana basado en tecnología GPS, para personas con discapacidad del Cantón Salcedo registrados en el CONADIS, frente a una posible erupción del Volcán Cotopaxi. Master’s Thesis, Universidad Centraldel Ecuador, Quito, Ecuador, June 2018. [Google Scholar]
- Chisty, M.A.; Nazim, A.; Rahman, M.M.; Dola, S.E.A.; Khan, N.A. Disability inclusiveness of early warning system: A study on flood-prone areas of Bangladesh. Disaster Prev. Manag. 2021, 30, 494–509. [Google Scholar] [CrossRef]
- Rushing, R.; Solomon, C.; Cooper, A. Disability inclusive planning and integration of disaster risk management and early warning systems: Creating essential solutions for the deaf community. In Proceedings of the APHA 2020 VIRTUAL Annual Meeting and Expo, Washington, DC, USA, 24–28 October 2020. [Google Scholar]
- Liu, Y.; Yin, k.; Chen, L.; Wang, W.; Liu, Y. A community-based disaster risk reduction system in Wanzhou, China. Int. J. Disaster Risk Reduct. 2016, 19, 379–389. [Google Scholar] [CrossRef]
- Chen, L.C.; Liu, Y.C.; Chan, K.C. Integrated Community-Based Disaster Management Program in Taiwan: A Case Study of Shang-An Village. Nat. Hazards 2006, 37, 209–223. [Google Scholar] [CrossRef]
- Tilley, I.; Pettit, C. A Dashboard for the Unexpected: Open Data for Real-Time Disaster Response. In Open Cities|Open Data: Collaborative Cities in the Information Era; Hawken, S., Han, H., Pettit, C., Eds.; Palgrave Macmillan: Singapore, 2020; pp. 265–286. [Google Scholar] [CrossRef]
- Brazzola, N.; Helander, S. Five Approaches to Build Functional Early Warning Systems; United Nations Development Programme (UNDP): Ankara Istanbul, Turkey, 2018; pp. 25–60. [Google Scholar]
- Bello, O.; Bustamante, A.; Pizarro, P. Planning for Disaster Risk Reduction within the Framework of the 2030 Agenda for Sustainable Development; Project Documents (LC/TS.2020/108); Economic Commission for Latin America and the Caribbean (ECLAC): Santiago, Chile, 2020; pp. 27–44. [Google Scholar]
- Klein, J.A.; Tucker, C.M.; Steger, C.E.; Nolin, A.; Reid, R.; Hopping, K.A.; Yeh, E.T.; Pradhan, M.S.; Taber, A.; Molden, D.; et al. An integrated community and ecosystem-based approach to disaster risk reduction in mountain systems. Environ. Sci. Policy 2019, 94, 143–152. [Google Scholar] [CrossRef]
- Kumar, H.; Singh, M.K.; Gupta, M.P.; Madaan, J. Moving towards smart cities: Solutions that lead to the Smart City Transformation Framework. Technol. Forecast. Soc. Chang. 2020, 153, 119281. [Google Scholar] [CrossRef]
- Mosco, V. How to Think About Smart Cities. In The Smart City in a Digital World (Society Now); Emerald Publishing Limited: Bingley, UK, 2019; pp. 27–58. [Google Scholar]
- Karamitsos, I.; Manifavas, C.; Amer, M. The Influence of Big Data and IoT on Smart Cities. In Smart Cities in the Gulf; Samad, W., Azar, E., Eds.; Palgrave Macmillan: Singapore, 2019; pp. 151–172. [Google Scholar]
- Zdraveski, V.; Mishev, K.; Trajanov, D.; Kocarev, L. ISO-Standardized Smart City Platform Architecture and Dashboard. IEEE Pervasive Comput. 2017, 16, 35–43. [Google Scholar] [CrossRef]
- Farahani, B.; Firouzi, F.; Chang, V.; Badaroglu, M.; Constant, N.; Mankodiya, K. Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare. Future Gener. Comput. Syst. 2018, 78, 659–676. [Google Scholar] [CrossRef] [Green Version]
- Hussain, A.; Wenbi, R.; Lopes da Silva, A.; Nadher, M.; Mudhish, M. Health and emergency-care platform for the elderly and disabled people in the Smart City. J. Syst. Softw. 2015, 110, 253–263. [Google Scholar] [CrossRef]
- Lizarraga, C.T. Análisis de las necesidades de una Smart City en el marco de un desarrollo sostenible. Master’s Thesis, Universitat Oberta de Catalunya (UOC), Barcelona, Spain, June 2020. Available online: http://hdl.handle.net/10609/118547 (accessed on 1 October 2021).
- Berger, Z.; Evans, N.; Phelan, A.; Silverman, R. Covid-19: Control measures must be equitable and inclusive. BMJ 2020, 368, 1–2. [Google Scholar] [CrossRef] [Green Version]
- Pineda, V.S.; Corburn, J. Disability, Urban Health Equity, and the Coronavirus Pandemic: Promoting Cities for All. J. Urban Health 2020, 97, 336–341. [Google Scholar] [CrossRef] [Green Version]
- Dewa, O.; Makoka, D.; Ayo-Yusuf, O.A. Assessing Capacity and Implementation Status of the Disaster Risk Management Strategy for Health and Community Disaster Resilience in Malawi. Int. J. Disaster Risk Sci. 2021, 12, 673–688. [Google Scholar] [CrossRef]
- Peladarinos, N.; Cheimaras, V.; Piromalis, D.; Arvanitis, K.G.; Papageorgas, P.; Monios, N.; Dogas, I.; Stojmenovic, M.; Tsaramirsis, G. Early Warning Systems for COVID-19 Infections Based on Low-Cost Indoor Air-Quality Sensors and LPWANs. Sensors 2021, 21, 6183. [Google Scholar] [CrossRef]
- Paupini, C.; Gjøsæter, T. Disaster Risk Reduction for All. In ITDRR2020: Information Technology in Disaster Risk Reduction; IFIP Advances in Information and Communication Technology; Murayama, Y., Velev, D., Zlateva, P., Eds.; Springer: Cham, Switzerland, 2020; Volume 622, pp. 183–192. [Google Scholar]
- Arcia, M. Calibración de un modelo hidráulico en el marco de la creación de un sistema de alerta temprana contra inundaciones en la cuenca del río Pacora. In Proceedings of the V Congreso Nacional de Ingeniería, Ciencias y Tecnología, Guía del Congresista, Panama City, Panama, 23–25 September 2015. [Google Scholar]
- Chang, I.; Martínez, P.; Cervantes, D.; Hidalgo, A.; Rosales, H.; Béliz, N. Estrategias para el diseño de un sistema de alerta Temprana que incluye a personas con discapacidad visual y auditiva. In Proceedings of the V Congreso Nacional de Ingeniería, Ciencias y Tecnología, Guía del Congresista, Panama City, Panama, 23–25 September 2015. [Google Scholar]
- García, A.; Sáez, Y.; Chang, I. Interfaz para la adquisición de datos en tiempo real basado en un datalogger de nivel de agua de efecto capacitivo. In Global Partnerships for Development and Engineering Education, Proceedings of the 15th LACCEI International Multi-Conference for Engineering, Education, and Technology, Boca Raton, FL, USA, 19–21 July 2017; LACCEI Inc.: Boca Raton, FL, USA, 19–21 July 2017. [Google Scholar]
- Sáez, Y.; Muñoz, J.; Canto, F.; García, A.; Montes, H. Assisting Visually Impaired People in the Public Transport System through RF-Communication and Embedded Systems. Sensors 2019, 19, 1282. [Google Scholar] [CrossRef] [Green Version]
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Chang, I.; Castillo, J.; Montes, H. Technology-Based Social Innovation: Smart City Inclusive System for Hearing Impairment and Visual Disability Citizens. Sensors 2022, 22, 848. https://doi.org/10.3390/s22030848
Chang I, Castillo J, Montes H. Technology-Based Social Innovation: Smart City Inclusive System for Hearing Impairment and Visual Disability Citizens. Sensors. 2022; 22(3):848. https://doi.org/10.3390/s22030848
Chicago/Turabian StyleChang, Ignacio, Juan Castillo, and Hector Montes. 2022. "Technology-Based Social Innovation: Smart City Inclusive System for Hearing Impairment and Visual Disability Citizens" Sensors 22, no. 3: 848. https://doi.org/10.3390/s22030848
APA StyleChang, I., Castillo, J., & Montes, H. (2022). Technology-Based Social Innovation: Smart City Inclusive System for Hearing Impairment and Visual Disability Citizens. Sensors, 22(3), 848. https://doi.org/10.3390/s22030848