Smart Wristband System for Improving Quality of Life for Users in Traffic Environment

  • Dragan PerakovićEmail author
  • Marko Periša
  • Rosana Elizabeta Sente
  • Petra Zorić
  • Boris Bucak
  • Andrej Ignjatić
  • Vlatka Mišić
  • Matea Vuletić
  • Nada Bijelica
  • Luka Brletić
  • Ana Papac
Part of the EAI/Springer Innovations in Communication and Computing book series (EAISICC)


The aim of this research is to develop a smart wristband system architecture that provides real-time information to users in traffic environment. Users in traffic environment are persons with visual impairment, hearing impairment, and locomotor impairment, elderly, children, and persons without disabilities. The purpose of service is to provide users with accurate and real-time information and raising the level of quality of life. Previous research and solutions have provided information about user needs and demands. Conducted survey defined functionalities of system based on Cloud Computing for the Blind concept which provides 24/7 support for the delivery of services and safety of users. Architecture of the service is designed according to universal design and Ambient Assisted Living concept. With simulation testing and experimental methods based on the Arduino and Raspberry Pi platforms, the work of proposed system is tested in laboratory and real-world environment which proved real-time information delivery to users. Having the ability to notify users in real time will increase the level of autonomy and safety while moving through traffic network.


Smart assistance Assistive technology Mobility Cloud computing 



This research has been carried out as part of the project “System of automatic identification and informing of mobile entities in the traffic environment,” Faculty of Transport and Traffic Sciences, University of Zagreb, 2016. The research was awarded with Rector’s award at University of Zagreb, Zagreb in 2016.


  1. 1.
    BusinessWire. (2014). Parents want technology to track their children.
  2. 2.
    Park, S., Harden, A. J., Nam, J., Saiki, D., Hall, S. S., & Kandiah, J. (2012). Attitudes and acceptability of smart wear technology: Qualitative analysis from the perspective of caregivers. International Journal of Human Ecology, 13(2), 87–100.CrossRefGoogle Scholar
  3. 3.
    Angulo, I., Onieva, E., Perallos, A., Salaberria, I., Bahillo, A., Azpilicueta, L., Falcone, F., Astrain, J. J., & Villadangos, J. (2015). Low cost real time location system based in radio frequency identification for the provision of social and safety services. Wireless Personal Communications, 84(4), 2797–2814. Scholar
  4. 4.
    Deshmukh, A., Mishra, A. K., Patil, V., & Saraf, K. (2014). Wireless personal safety bracelet. International Journal of Computer Appliations, 107(23), 11–13.CrossRefGoogle Scholar
  5. 5.
    Huang, J. C. S., Lin, Y. T., Yu, J. K. L., Liu, K., & Kuo, Y. H. (2015). A wearable NFC wristband to locate dementia patients through a participatory sensing system. Dallas: International Conference on Healthcare Informatics. 21–23 October 2015.CrossRefGoogle Scholar
  6. 6.
    Zhang, Y., & Rau, P. L. P. (2015). Playing with multiple wearable devices: Exploring the influence of display, motion and gender. Computers in Human Beahviour, 50, 148–158.CrossRefGoogle Scholar
  7. 7.
    Noh, C.-B., & Na, W. (2016). Portable health monitoring system using wearable devices. Indian Journal of Science and Technology, 9(36), 1–5.Google Scholar
  8. 8.
    Postolache, O., Silva Girão, P., Santiago, F. (2011.) Enabling telecare assessment with pervasive sensing and Android OS smartphone. Proceedings of the 2011 IEEE International Workshop on Medical Measurement and Applications Proceedings (MeMeA), Bari, Italy, 30–31 May 2011.Google Scholar
  9. 9.
    Ahanathapillai, V., Amor, J., Goodwin, Z., & James, C. J. (2015). Preliminary study on activity monitoring using an android smart-watch. Healthcare Technology Letters, 2(1), 34–39.CrossRefGoogle Scholar
  10. 10.
    Freeman, E., and Brewster, S. (2016). Using sound to help visually impaired children play independently. Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems – CHI EA ‘16, San Jose, California, USA, 7–12 May 2016.Google Scholar
  11. 11.
    Chippendale, T., D’Alto, et al. (2015). Personal shopping assistance and navigator system for visually impaired people. In Lecture notes in computer science (pp. 357–390). Cham: Springer.Google Scholar
  12. 12.
    Law on Croatian Register of Persons with Disabilities. (2001). NN 64/01. Zagreb: Narodne novine.Google Scholar
  13. 13.
    Black, R. D., Weinberg, L. A., & Brodwin, M. G. (2015). Universal design for learning and instruction: Perspectives of students with disabilities in higher education. Exceptionality Education International, 25(2), 1–26.Google Scholar
  14. 14.
    Mazhelis, O., Luoma, E., & Warma, H. (2012). Defining and internet-of-things ecosystem. Lecture Notes in Computer Science, 7469, 1–14.CrossRefGoogle Scholar
  15. 15.
    Periša, M., Jovović, I., & Peraković, D. (2014a). Recommendations for the development of information and communication services for increasing mobility of visually impaired persons. Proceedings of the Conference Universal Learning Design, Masaryk University. Paris, France, 9–11 July 2014.Google Scholar
  16. 16.
    Mann, W. C. (2005). Smart technology for aging. disability and independence. Hoboken: Wiley.CrossRefGoogle Scholar
  17. 17.
    Garcia, N. M., & Rodrigues, J. J. (2015). Ambient assisted living. Boca Raton: CRC Press.CrossRefGoogle Scholar
  18. 18.
    Gomez, C., Oller, J., & Paradells, J. (2012). Overview and evaluation of bluetooth low energy: An emerging low-power wireless technology. Sensors, 12(9), 11734–11753.CrossRefGoogle Scholar
  19. 19.
    Al-Ofeishat, H., & Al Rababah, M. (2012). Near field communication. International Journal of Computer Science and Network Security, 12(2), 93–99.Google Scholar
  20. 20.
    Periša, M., Sente, R. E., & Brletić, L. (2016). Proposal of information communication technology architecture for people with disability. The 4th Online Scientific Conference – ScieConf., Žilina, Slovakia, 6–10 June 2016.Google Scholar
  21. 21.
    Periša, M., Peraković, D., & Šarić, S. (2014b). Conceptual model of providing traffic navigation services to visually impaired persons. Promet - Traffic & Transportation, 26(3), 209–218. Scholar
  22. 22.
    Peraković, D., Periša, M., Sente, R. E., Bijelica, N., Brletić, L., Bucak, B., Ignjatić, A., Mišić, V., Papac, A., Vuletić, M., & Zorić, P. (2016). Information and Communication System for informing Users in Traffic Environment – SAforA. EAI International Conference on Management of Manufacturing Systems, Bratislava, Slovakia, 22–24 November 2016.Google Scholar
  23. 23.
    Jain, S., Vaibhav, A., & Goyal, L. (2014). Raspberry Pi based interactive home automation system through E-mail. Manav: 2014 International Conference on Optimization, Reliability, and Information Technology – ICROIT, Rachna International University. 6–8 February 2014.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Dragan Peraković
    • 1
    Email author
  • Marko Periša
    • 1
  • Rosana Elizabeta Sente
    • 1
  • Petra Zorić
    • 1
  • Boris Bucak
    • 2
  • Andrej Ignjatić
    • 3
  • Vlatka Mišić
    • 4
  • Matea Vuletić
    • 5
  • Nada Bijelica
    • 6
  • Luka Brletić
    • 6
  • Ana Papac
    • 6
  1. 1.Department of Information and Communication TrafficUniversity of ZagrebZagrebCroatia
  2. 2.Ericsson Nikola TeslaZagrebCroatia
  3. 3.Alca Zagreb d.o.o.ZagrebCroatia
  4. 4.CARNET – National CertZagrebCroatia
  5. 5.Republic of Croatia Ministry of InteriorZagrebCroatia
  6. 6.Laboratory of Development and Research of Information and Communication Assistive TechnologyUniversity of ZagrebZagrebCroatia

Personalised recommendations