An IoT Architecture of Microservices for Ambient Assisted Living Environments to Promote Aging in Smart Cities

Ambient Assisted Living (AAL) environments encompass technical systems and the Internet of Things (IoT) tools to support seniors in their daily routines. They aim to enable seniors to live independently and safely for as long as possible when faced declining physical or cognitive capacities. This work presents the design, development and deployment of an AAL system in the context of smart cities. The proposed architecture is based on microservices and software components. We examined the requirements and specifications of AAL systems in smart homes, in efforts to describe and evaluate how they would be transposable in the case of smart cities. The system has been tested and evaluated in the laboratory; it has been deployed in real life settings within city and is still in use by five elderly people.

[1]  Richard Tynan,et al.  Towards evolutionary ambient assisted living systems , 2010, J. Ambient Intell. Humaniz. Comput..

[2]  Tianwei Yu,et al.  K-Profiles: A Nonlinear Clustering Method for Pattern Detection in High Dimensional Data , 2015, BioMed research international.

[3]  Luis Lino Ferreira,et al.  Message-oriented middleware for smart grids , 2015, Comput. Stand. Interfaces.

[4]  Nour Ali,et al.  A Systematic Mapping Study in Microservice Architecture , 2016, 2016 IEEE 9th International Conference on Service-Oriented Computing and Applications (SOCA).

[5]  Alex Mihailidis,et al.  A Survey on Ambient-Assisted Living Tools for Older Adults , 2013, IEEE Journal of Biomedical and Health Informatics.

[6]  Nadjib Badache,et al.  Event-Aware Framework for Dynamic Services Discovery and Selection in the Context of Ambient Intelligence and Internet of Things , 2016, IEEE Transactions on Automation Science and Engineering.

[7]  Dieter Hayn,et al.  The Internet of Things for Ambient Assisted Living , 2010, 2010 Seventh International Conference on Information Technology: New Generations.

[8]  Ruijiao Li,et al.  Cognitive assisted living ambient system: a survey , 2015, Digit. Commun. Networks.

[9]  Mukhtiar Memon,et al.  Ambient Assisted Living Healthcare Frameworks, Platforms, Standards, and Quality Attributes , 2014, Sensors.

[10]  Alex Mihailidis,et al.  Co-Designing Ambient Assisted Living (AAL) Environments: Unravelling the Situated Context of Informal Dementia Care , 2015, BioMed research international.

[11]  Alex Mihailidis,et al.  Principles for fostering the transdisciplinary development of assistive technologies , 2017, Disability and rehabilitation. Assistive technology.

[12]  Rudolf Giffinger,et al.  Smart cities ranking: an effective instrument for the positioning of cities? , 2009, 5th International Conference Virtual City and Territory, Barcelona, 2,3 and 4 June 2009.

[13]  Marimuthu Palaniswami,et al.  Internet of Things (IoT): A vision, architectural elements, and future directions , 2012, Future Gener. Comput. Syst..

[14]  Maria-Lluïsa Marsal-Llacuna,et al.  Lessons in urban monitoring taken from sustainable and livable cities to better address the Smart Cities initiative , 2015 .

[15]  Alex Mihailidis,et al.  Ambient Assisted Living Technologies for Aging Well: A Scoping Review , 2016, J. Intell. Syst..

[16]  Diane J. Cook,et al.  Author's Personal Copy Pervasive and Mobile Computing Ambient Intelligence: Technologies, Applications, and Opportunities , 2022 .

[17]  Nina Valkanova,et al.  Public visualization displays of citizen data: Design, impact and implications , 2014, Int. J. Hum. Comput. Stud..