Internet of Things (IoT) is the logical further development of today's Internet, enabling a huge amount of devices to communicate, compute, sense and act. IoT sensors placed in Ambient Assisted Living (AAL) environments, enable the context awareness and allow the support of the elderly in their daily routines, ultimately allowing an independent and safe lifestyle. The vast amount of data that are generated and exchanged between the IoT nodes require innovative context modeling approaches that go beyond currently used models. Current paper presents and evaluates an open interoperable platform architecture in order to utilize the technical characteristics of IoT and handle the large amount of generated data, as a solution to the technical requirements of AAL applications.
WeiserM, GoldR, BrownJS. The origins of ubiquitous computing research at PARC in the late 1980s. IBM Systems Journal.1999; 38: 693-696.
2.
CoenMH. Design principles for intelligent environments: AAAI/IAAI1998: 547-554.
3.
KranzM, SchmidtA, RusuRB, et al. Sensing technologies and the player-middleware for context-awareness in kitchen environments. Networked Sensing Sys 2007.2007: 179-186.
4.
de RuyterB, PelgrimE. Ambient assisted-living research in carelab, interactions, v. 14 n. 4. July+ August.2007.
5.
BamidisPD, FisslerP, PapageorgiouSG, et al. Gains in cognition through combined cognitive and physical training: The role of training dosage and severity of neurocognitive disorder. Frontiers in Aging Neuroscience.2015; 7.
6.
BamparopoulosG, KonstantinidisE, BratsasC, BamidisPD. Towards exergaming commons: composing the exergame ontology for publishing open game data. Journal of Biomedical Semantics.2016; 7: 1-15.
7.
De RuyterB, AartsE. Ambient intelligence: Visualizing the future: Proceedings of the working conference on Advanced visual interfaces: ACM; 2004: 203-208.
8.
Information on the Fraunhofer InHaus. http://www.inhaus-zentrum.de/site_en/. (Last accessed on 13/09/2015).
9.
Information on the Open Living Labs. http://www.openlivinglabs.eu/. (Last accessed on 13/09/2015).
10.
NehmerJ, BeckerM, KarshmerA, LammR. Living assistance systems: An ambient intelligence approach: Proceedings of the 28th international conference on Software engineering: ACM; 2006: 43-50.
11.
ZikopoulosP, EatonC. Understanding big data: Analytics for enterprise class hadoop and streaming data: McGraw-Hill Osborne Media, 2011.
12.
BeckerC, NicklasD. Where do spatial context-models end and where do ontologies start? A proposal of a combined approach: Proceedings of the First International Workshop on Advanced Context Modelling, Reasoning and Management, in conjunction with UbiComp2004.
13.
TsirbasH, GiokasK, KoutsourisD. ``Internet of Things'', an RFID-IPv6 Scenario in a Healthcare Environment: XII Mediterranean Conference on Medical and Biological Engineering and Computing 2010: Springer; 2010: 808-811.
14.
SamulowitzM, MichahellesF, Linnhoff-PopienC. Capeus: An architecture for context-aware selection and execution of services: New developments in distributed applications and interoperable systems: Springer; 2002: 23-39.
15.
HeldA, BuchholzS, SchillA. Modeling of context information for pervasive computing applications: Procceding of the World Multiconference on Systemics, Cybernetics and Informatics2002.
16.
PaganelliF, GiuliD. An ontology-based context model for home health monitoring and alerting in chronic patient care networks: Advanced Information Networking and Applications Workshops, 2007, AINAW'07. 21st International Conference on. Vol 2: IEEE; 2007: pp. 838-845.
17.
PreuveneersD, Van den BerghJ, WagelaarD, et al. Towards an extensible context ontology for ambient intelligence: Ambient intelligence: Springer; 2004: 148-159.
18.
FalckT, EspinaJ, EbertJ-P, DietterleD. BASUMA-the sixth sense for chronically ill patients: Wearable and Implantable Body Sensor Networks, 2006. BSN 2006. International Workshop on: IEEE; 2006: 4: pp. -60.
19.
DohrA, Modre-OpsrianR, DrobicsM, et al. The internet of things for ambient assisted living: Information Technology: New Generations (ITNG), 2010 Seventh International Conference on: Ieee; 2010: pp. 804-809.
20.
KrcoS. Implementation solutions and issues in building a personal sensor network for health care monitoring: Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic Conference on: IEEE; 2003: pp. 350-353.
21.
ZhaoZ, CuiL. EasiMed: A remote health care solution: Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the: IEEE; 2006: pp. 2145-2148.
22.
KourisI, KoutsourisD. Identifying risky environments for COPD patients using smartphones and internet of things objects. International Journal of Computational Intelligence Studies.2014; 3: 1-17.
23.
JinM-H, LeeR-G, KaoC-Y, et al. Sensor network design and implementation for health telecare and diagnosis assistance applications: Parallel and Distributed Systems, 2005. Proceedings. 11th International Conference on. Vol 2: IEEE; 2005: pp. 407-411.
24.
ZhouB, HuC, WangH, et al. A wireless sensor network for pervasive medical supervision: Integration Technology, 2007. ICIT'07. IEEE International Conference on: IEEE; 2007: pp. 740-744.
25.
KonstantinidisEI, AntoniouPE, BamparopoulosG, BamidisPD. A lightweight framework for transparent cross platform communication of controller data in ambient assisted living environments. Information Sciences.2015; 300: 124-139.
26.
BottsM, PercivallG, ReedC, DavidsonJ. OGC® sensor web enablement: Overview and high level architecture: GeoSensor networks: Springer; 2008: 175-190.
27.
MartinM, NurmiP. A generic large scale simulator for ubiquitous computing: Mobile and Ubiquitous Systems: Networking & Services, 2006 Third Annual International Conference on: IEEE; 2006: pp. 1-3.
28.
TsirmpasC, RompasA, FokouO, KoutsourisD. An indoor navigation system for visually impaired and elderly people based on Radio Frequency Identification (RFID). Information Sciences.2014.
29.
AlwanM, RajendranPJ, KellS, et al. A smart and passive floor-vibration based fall detector for elderly: Information and Communication Technologies, 2006. ICTTA'06. 2nd. Vol 1: IEEE; 2006: pp. 1003-1007.
30.
KyriacouE, PavlopoulosS, BerlerA, et al. Multi-purpose HealthCare Telemedicine Systems with mobile communication link support. Biomedical engineering online.2003; 2: 1-12.
31.
KonstantinidisEI, BamparopoulosG, BillisA, BamidisPD. Internet of things for an age-friendly healthcare. Studies in health technology and informatics.2014; 210: 587-591.
