Abstract
Cities are the places where the greatest technological changes will take place during the next few decades. Some years from now, important investments will be destined towards elaborating and implementing urban solutions. However, people with sensorial disabilities will still have to overcome the problem of autonomy in urban areas. Autonomy presumes the existence of the right conditions for complete relocation towards the desired destination. This is closely related to the process of planning buildings, sidewalks and signaling, among others and it is supported by legal measures, promoting accessibility. However, several barriers and the lack of information in urban areas should be faced meanwhile. In this paper, the features of a travel aid previously designed, were enhanced based on the Internet of Things—IoT. This approach has a goal to better suit the device to the smart cities’ context. To this end, an architecture combining both haptic feedback (tactile and auditory), acquiring relevant information from the environment, was designed. Quantitative and quantitative assessments obtained from experimental tests shows satisfactory results.
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Akhbar F, Chang V, Yao Y, Méndez Muñoz V (2016) Outlook on moving of computing services towards the data sources. Int J Inf Manag 36(4):645–652 (ISSN: 0268-4012)
Atzori L, Iera A, Morabito G (2010) The Internet of Things: a survey. Comput Netw 54(15):2787–2805. doi:10.1016/j.comnet.2010.05.010
Botterman M (2009) Internet of Things: an early reality of the Future Internet, Workshop Report prepared for European Commission, Information Society and Media Directorate General, Networked Enterprise & RFID Unit (D4). Prague
Brady E, Bigham JP (2014) How companies engage customers around accessibility on social media. In: Proceedings of the 16th international ACM SIGACCESS conference on Computers & accessibility—ASSETS ’14 (pp 51–58). ACM Press, New York, New York. doi:10.1145/2661334.2661355
Caragliu A, Bo CDEL, Nijkamp P (2009) Smart cities in Europe, pp 45–59
Chourabi H, Nam T, Walker S, Gil-Garcia JR, Mellouli S, Nahon K et al (2012) Understanding Smart Cities: an integrative framework. In: 45th Hawaii International Conference on System Sciences. IEEE, pp 2289–2297. doi:10.1109/HICSS.2012.615
Cook AM, Polgar JM (2014) Assistive technologies: principles and practice. Elsevier Health Sciences, Amsterdam
Dakopoulos D, Bourbakis NG (2010) Wearable obstacle avoidance electronic travel aids for blind: a survey. Systems, man, and cybernetics, Part C: Applications and Reviews. IEEE Trans 40(1):25–35
Delahoz YS, Labrador MA (2014) Survey on fall detection and fall prevention using wearable and external sensors. Sensors 14(10):19806–19842
Domingo MC (2012) An overview of the Internet of Things for people with disabilities. J Netw Comput Appl 35(2):584–596
Fortino G, Gravina R (2015) Fall-MobileGuard: a smart real-time fall detection system. Proceedings of the 10th International Conference on Body Area Networks (BodyNets). Australia, Sydney, pp 44–50
Gubbi J, Buyya R, Marusic S, Palaniswami M (2013) Internet of Things (IoT): a vision, architectural elements, and future directions. Future Gener Comput Syst 29(7):1645–1660. doi:10.1016/j.future.2013.01.010
Hersh M, Johnson M (2008) Assistive technology for vision-impaired and blind people
Hoyle BS, Fowler JM, Waters DA, Withington DJ (2004) Development of the electronic guide cane for enhanced primary mobility for the vision impaired. In: Conference and Workshop on Assistive Technologies for Vision and Hearing Impairment
Lau JC, Chiu CC (2003) Accessibility of low-income workers in Hong Kong. Cities 20(3):197–204
Lazar J, Dudley-Sponaugle A, Greenidge KD (2004) Improving web accessibility: a study of webmaster perceptions. Comput Human Behav 20(2):269–288
Luo X, Liu J, Zhang D, Chang X (2016) A large-scale web QoS prediction scheme for the Industrial Internet of Things based on a kernel machine learning algorithm. Comput Netw 101(4):81–89
McLaughlin ML, Hespanha JP, Sukhatme GS (2002) Touch in virtual environments. Prentice Hall, USA
Nandyala CS, Kim HK (2016) Green IoT Agriculture and Healthcare Application (GAHA). Int J Smart Home 10(4):289–300
Oliveira A, Campolargo M (2015) From Smart Cities to Human Smart Cities. In: System Sciences (HICSS), 48th Hawaii International Conference on. IEEE, pp 2336–2344
Ornstein SW, Ono R, Lopes ME, Monteiro RZ, Gill AA, Machry HS (2007) Health care architecture in Sao Paulo, Brazil: evaluating accessibility and fire safety in large hospitals. Int J Archit Res 1(1):13–25
Paniagua-Martin F, Garcia-Crespo A, Colomo-Palacios R, Ruiz-Mezcua B (2011) Semantic annotation architecture for accessible multimedia resources. IEEE MultiMedia 18(2):16–25
Paredis CJJ, Bishop C, Bodner D, Cosgrave E, Arbuthnot K, Tryfonas T (2013) Living labs, innovation districts and information marketplaces: a systems approach for smart cities. Proc Comput Sci 16:668–677
Pasaogullari N, Doratli N (2004) Measuring accessibility and utilization of public spaces in Famagusta. Cities 21(3):225–232. doi:10.1016/j.cities.2004.03.003
Perera C, Zaslavsky A, Christen P, Georgakopoulos D (2014) Sensing as a service model for smart cities supported by Internet of Things. Trans Emerg Telecommun Technol 25(1):81–93. doi:10.1002/ett.2704
Ramirez ARG, Silva RFL, Cinelli MJ, Albornoz ADC (2012) Evaluation of electronic haptic device for blind and visually impaired people: a case study. J Med Biol Eng 32(6):423–428
Sanchez L, Galache JA, Gutierrez V, Hernandez JM, Bernat J, Gluhak A, Garcia T (2011) Smartsantander: the meeting point between future internet research and experimentation and the smart cities. In: Future Network & Mobile Summit (FutureNetw). IEEE, pp 1–8
Shaikh FK, Zeadally S, Exposito E (2015) Enabling technologies for green Internet of Things. IEEE Syst J 99:1–12. doi:10.1109/JSYST.2015.2415194
Vereecken W, Van Heddeghem W, Deruyck M, Puype B, Lannoo B, Joseph W, Colle D, Martens L, Demeester P (2011) Power consumption in telecommunication networks: overview and reduction strategies. IEEE Commun Mag 49(6):62–69
Walsh ST, Groen AJ, Lee JH, Phaal R, Lee S-H (2013) An integrated service-device-technology roadmap for smart city development. Technol Forecast Soc Change 80(2):286–306
Wiener WR, Welsh RL, Blasch BB Foundations of Orientation and Mobility. AMDs (adaptive mobility devices) 241:248–250
Zhu X, Li Q, Chen G (2013) APT: accurate outdoor pedestrian tracking with smartphones. In: INFOCOM, 2013 Proceedings IEEE. IEEE, pp 2508–2516
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This work was granted by 84/2013 MCTI-SECIS/CNPq—Assistive Technology. It is also approved by the Ethical Committee in Human Research.
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Ramirez, A.R.G., González-Carrasco, I., Jasper, G.H. et al. Towards Human Smart Cities: Internet of Things for sensory impaired individuals. Computing 99, 107–126 (2017). https://doi.org/10.1007/s00607-016-0529-2
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DOI: https://doi.org/10.1007/s00607-016-0529-2