Centenarian Transhumanism Aging in Place

  • Jennifer LoyEmail author
Part of the S.M.A.R.T. Environments book series (SMARTE)


The rising cost of health care and an aging population are issues that will need to be addressed within a future smart city environment. Digital technology is providing unprecedented opportunities for proactive health strategies to be employed to support healthy aging, including aging in place. However, whilst the technological capabilities supporting this potential are rapidly emerging, the social factors still need further research. This chapter considers the practical and emotional challenges facing people as they age in the twenty-first century context and contributes to discussion on the integration of digital technology into society earlier in life for proactive, healthy aging and to support aging in place for future generations.


Health Care Digital technologies 3D printing Data 




The belief or theory that the human race can evolve beyond its current physical and mental limitations, especially by means of science and technology.


A person who is 100 years or older.

Internet of Things

Objects that are fitted with microchips and connected to the internet in a network that allows them to interact with each other and to be controlled remotely as a system.


  1. Actuaries Institute of Australia (2012). Australia’s longevity Tsunami: What should we do? Actuaries Institute White Paper.Google Scholar
  2. Alberts, J., Linder, S., Russman, A., Figler, R., Cruickshank, J., et al. (2017). Utilisation of an electronic incident report to document injury-related demographics and medical triage in youth, high school and college athletes. British Journal of Sports Medicine London, 51(11), A12. Scholar
  3. Briane, M., & Wray, J. (2016). Supporting families & carers: A nursing perspective. Boca Raton: CRC Press Tailor & Francis Group.Google Scholar
  4. Bridges, J., Loukanova, S., & Carrera, P. (2008). Patient empowerment in health care. In Heggenhougen, H. (Ed.), International encyclopedia of public health (pp. 17–28). Elsevier, Science Direct.Google Scholar
  5. Brown, P. (2018). The future of healthcare may reside in your smart clothes. Mouser Electronics:
  6. Coulter, A. (2011). Engaging patients in healthcare. Maidenhead/Berkshire: McGraw Hill.Google Scholar
  7. Dicker, M. Baker, A., Iredale, R., Nacify, S., Bond, I., Faul, C. Rossiter, J., SPinks, G., & Weaver, P. (2017). Light-triggered soft artificial muscles: Molecular-level amplification of actuation control signals, nature scientific reports. Published: 23 August 2017. reports.
  8. Dombroski, C., Balsdon, M., & Froats, A. (2014). The use of a low cost 3D scanning and printing tool in the manufacture of custom-made foot orthoses: A preliminary study. BMC Research Notes 2014, 7:443.
  9. Farahani, B., Fizouzi, F., Chang, V., Badaroglu, M., Constant, N., & Mankodiya, K. (2018). Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare. Future Generation Computer Systems, 78, 659–676. Elsevier, Science Direct.Google Scholar
  10. Ghani, A. (2018). Healthcare electronics – A step closer to future smart cities. Information & Communication Technology Express. Elsevier.
  11. Greenfield, A. (2006). Everyware: The dawning age of ubiquitous computing. Berkeley: New Riders. AIGA.Google Scholar
  12. Kalid, N., Zaidan, A., Zaidan, B. Salman, O., Hashim, M., & Muzammil, H. (2017). Based real time remote health monitoring systems: A review on patients prioritization and related “Big Data” using body sensors information and communication technology. Journal of Medical Systems, (2018) 42: 30.
  13. Kelly, K. (2010). What technology wants (p. 37). New York: Penguin Group.Google Scholar
  14. Lipson, H., & Kurman, M. (2013). Fabricated. Indianapolis: Wiley.Google Scholar
  15. Lucas, P., Bailey, J., & McManus, M. (2012). Trillions: thriving in the emerging information ecology. Hoboken: Wiley.Google Scholar
  16. Manyika, J., & Chui, M. (2015). By 2025, Internet of Things applications could have $11 trillion impact. Fortune, July 22.Google Scholar
  17. Markowitz, J., & Herr, H. (2016). Human leg model predicts muscle forces, states, and energetics during walking. PLOS Computational Biology, 1–30. Scholar
  18. Marr, B. (2017). How BMW uses artificial intelligence and big data to design and build cars of tomorrow. Forbes, August 1.Google Scholar
  19. Marques, G., Roque Ferreira, C., & Pitarma, R. (2019). Indoor air quality assessment using a CO2 monitoring system based on Internet of Things. Journal of Medical Systems.
  20. Morgann, L., Frankowski, A., Roth, E., Keimig, L., Zimmerman, S., & Eckert, J. (2012). Quality assisted living: Informing practice through research. New York: Springer.Google Scholar
  21. Narototzky, V. (2016). Beyond perfection. In P. Sparke & F. Fisher (Eds.), The Routledge companion to design studies (pp. 156–168). Abingdon on Thames: Routledge.Google Scholar
  22. Novak, J., Burton, D. & Crouch, T. (2019). Aerodynamic test results of bicycle helmets in different configurations: Towards a responsive design. Journal of Sports Engineering and Technology. Scholar
  23. Petrova, R. (2014). Educating designers from generation Y: Challenges and alternatives. In DS E&PDE14 proceedings, Design Education and Human Technology Relations, New York, NY, p. 525.Google Scholar
  24. Powell, R. (2012). The future of human evolution. The British Journal for the Philosophy of Science, 63(1), 145–175.CrossRefGoogle Scholar
  25. Pullin, G. (2009). Design meets disability. Boston: MIT Press.Google Scholar
  26. Quandt, B., Braun, F., Ferrario, D., Rossi, R., Scheel-Sailer, A., Wolf, M., Bona, G., Hufenus, R., Scherer, L., & Bosele, L. (2017). Body-monitoring with photonic textiles: A reflective heartbeat sensor based on polymer optical fibres. Journal of the Royal Society Interface, 14, 20170060. Scholar
  27. Rowland, C., Goodman, E., Charlier, M., Light, A., & Lui, A. (2015). Designing connected products: UX for the consumer Internet of Things. Sebastopol: O’Reilly Media.Google Scholar
  28. Schull, J. (2015). Enabling the future: Crowdsourced 3D-printed prosthetics as a model for open source assistive technology, innovation and mutual aid. In Proceedings of the 17th International ACM SIGACCESS conference on computers & accessibility, 26 October (pp. 1–1).
  29. Smith, P., Sahar, H., Graf, A., Flanagan, A., Reiners, K., Kuo, K., Roh, J., & HArros, G. (2009). Brace evaluation in children with dipelgic cerebral palsy with a jump gait pattern. Journal of Bone and Joint Surgery, 91(2), 356. Scholar
  30. Sorrel, C. (2010). Bespoke designs makes beautiful custom prosthetic legs, wired. Google Scholar
  31. St. Clair, A. (2016). Critical thinking, wisdom and paying homage to the human experience. Voices, 42(1/2), 41–43.Google Scholar
  32. Webster, S. (2013). Additive manufacturing: A custom solution for the medical industry. Manufacturing Engineering, Dearborn, 150(4), 87–91.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Deakin UniversityGeelongAustralia

Personalised recommendations