A Review on Applications of Ambient Assisted Living

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Aneri M. Desai, Rutvij H. Jhaveri

Aneri M Desai and Rutvij H Jhaveri. A Review on Applications of Ambient Assisted Living. International Journal of Computer Applications 176(8):1-7, October 2017. BibTeX

	author = {Aneri M. Desai and Rutvij H. Jhaveri},
	title = {A Review on Applications of Ambient Assisted Living},
	journal = {International Journal of Computer Applications},
	issue_date = {October 2017},
	volume = {176},
	number = {8},
	month = {Oct},
	year = {2017},
	issn = {0975-8887},
	pages = {1-7},
	numpages = {7},
	url = {http://www.ijcaonline.org/archives/volume176/number8/28572-2017915499},
	doi = {10.5120/ijca2017915499},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


The use of smart environments in the delivery of a pervasive care is the research topic that has witnessed increasing interest in recent years. These environments aim to deliver pervasive care through ubiquitous sensing by monitoring the occupant's activities of daily living. In order for these environments to succeed in achieving their goal, it is crucial that sensors deployed in the environments perform faultlessly. Ambient Assisted Living (AAL) is currently one of the important research and development areas, where accessibility, usability, and learning play a major role and where future interfaces are an important concern for applied engineering. In this paper, we discuss the research work carried out for various applications of AAL. We summarize techniques and tools for AAL and also their benefits and limitations. Using a summarized data we also look for different future challenges. The aim of this paper is to survey different AAL technologies to assist the elderly people to live in a smart environment.


  1. A. Queirós, A. Silva, J. Alvarelhão, N. P. Rocha, and A. Teixeira, “Usability, accessibility and ambient-assisted living: a systematic literature review,” Univers. Access Inf. Soc., vol. 14, no. 1, pp. 57–66, 2015.
  2. H. Daniell, “NIH Public Access,” vol. 76, no. October 2009, pp. 211–220, 2012.
  3. P. Rashidi and A. Mihailidis, “A survey on ambient-assisted living tools for older adults,” IEEE J. Biomed. Heal. Informatics, vol. 17, no. 3, pp. 579–590, 2013.
  4. G. Brady, R. Sterritt, and G. Wilkie, “Mobile Robots and Autonomic Ambient Assisted Living,” Paladyn, J. Behav. Robot., vol. 6, no. 1, pp. 205–217, 2015.
  5. T. Sciences, “Archives of Possibilities of implementing Ambient Assisted Living concept in,” vol. 8, pp. 30–34, 2015.
  6. A. Forkan, I. Khalil, and Z. Tari, “CoCaMAAL: A cloud-oriented context-aware middleware in ambient assisted living,” Futur. Gener. Comput. Syst., vol. 35, pp. 114–127, 2014.
  7. S. Sendra, L. Parra, J. Lloret, and A. Canovas, “A Smart Communication Architecture for Ambient Assisted Living,” 2014 Int. Conf. Eng. Technol. Innov., no. January, pp. 1–7, 2015.
  8. B. M. C. Silva, J. J. P. C. Rodrigues, T. M. C. Simoes, S. Sendra, and J. Lloret, “An ambient assisted living framework for mobile environments,” Biomed. Heal. Informatics (BHI), 2014 IEEE-EMBS Int. Conf., pp. 448–451, 2014.
  9. Ó. Belmonte-Fernández, A. Puertas-Cabedo, J. Torres-Sospedra, R. Montoliu-Colás, and S. Trilles-Oliver, “An indoor positioning system based on wearables for ambient-assisted living,” Sensors (Switzerland), vol. 17, no. 1, pp. 1–22, 2017.
  10. S. Bruno, M. José, S. Filomena, C. Vítor, M. Demétrio, and B. Karolina, “The conceptual design of a mechatronic system to handle bedridden elderly individuals,” Sensors (Switzerland), vol. 16, no. 5, pp. 1–11, 2016.
  11. A. Armentia, U. Gangoiti, R. Priego, E. Estévez, and M. Marcos, “Flexibility support for homecare applications based on models and multi-agent technology,” Sensors (Switzerland), vol. 15, no. 12, pp. 31939–31964, 2015.
  12. A. Dasios, D. Gavalas, G. Pantziou, and C. Konstantopoulos, “Hands-on experiences in deploying cost-effective ambient-assisted living systems,” Sensors (Switzerland), vol. 15, no. 6, pp. 14487–14512, 2015.
  13. A. R. M. Forkan, I. Khalil, Z. Tari, S. Foufou, and A. Bouras, “A context-aware approach for long-term behavioural change detection and abnormality prediction in ambient assisted living,” Pattern Recognit., vol. 48, no. 3, pp. 628–641, 2015.
  14. I. Bisio, F. Lavagetto, M. Marchese, and A. Sciarrone, “Smartphone-centric ambient assisted living platform for patients suffering from co-morbidities monitoring,” IEEE Commun. Mag., vol. 53, no. 1, pp. 34–41, 2015.
  15. K. Wang, Y. Shao, L. Shu, G. Han, and C. Zhu, “LDPA: A local data processing architecture in ambient assisted living communications,” IEEE Commun. Mag., vol. 53, no. 1, pp. 56–63, 2015.
  16. C. Tsirmpas, A. Anastasiou, P. Bountris, and D. Koutsouris, “A New Method for Profile Generation in an Internet of Things Environment: An Application in Ambient-Assisted Living,” IEEE Internet Things J., vol. 2, no. 6, pp. 471–478, 2015.
  17. G. Suciu, A. Vulpe, R. Craciunescu, C. Butca, and V. Suciu, “Big Data Fusion for eHealth and Ambient Assisted Living Cloud Applications,” pp. 102–106, 2015.
  18. E. I. Konstantinidis, P. E. Antoniou, G. Bamparopoulos, and P. D. Bamidis, “A lightweight framework for transparent cross platform communication of controller data in ambient assisted living environments,” Inf. Sci. (Ny)., vol. 300, no. 1, pp. 124–139, 2015.
  19. D. F. M. Rodrigues, E. T. Horta, B. M. C. Silva, F. D. M. Guedes, and J. J. P. C. Rodrigues, “A mobile healthcare solution for ambient assisted living environments,” 2014 IEEE 16th Int. Conf. e-Health Networking, Appl. Serv. Heal. 2014, pp. 170–175, 2015.
  20. L. Meinel and M. Findeisen, “Automated real-time surveillance for ambient assisted living using an omnidirectional camera,” … (Icce), 2014 Ieee …, pp. 402–405, 2014.
  21. P. Nazemzadeh, D. Fontanelli, and D. Macii, “An indoor position tracking technique based on data fusion for ambient assisted living,” 2013 IEEE Int. Conf. Comput. Intell. Virtual Environ. Meas. Syst. Appl., pp. 7–12, 2013.
  22. F. J. Fernandez-Luque, F. L. Mart??nez, G. Dom??nech, J. Zapata, and R. Ruiz, “Ambient assisted living system with capacitive occupancy sensor,” Expert Syst., vol. 31, no. 4, pp. 378–388, 2014.
  23. R. Li, M. A. Oskoei, and H. Hu, “Towards ROS based multi-robot architecture for ambient assisted living,” Proc. - 2013 IEEE Int. Conf. Syst. Man, Cybern. SMC 2013, pp. 3458–3463, 2013.


Ambient Intelligence, Location Identification schemes, Mobile Robot, Smart Environment, Ambient Assisted Living.