Affiliations: National Technical University of Athens, Athens, Greece
Correspondence:
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Corresponding author: Ioannis Kouris, Biomedical Engineering Laboratory 9, National Technical University of Athens, Heroon Polytechniou Str., 15773 Zografou, Athens, Greece. Tel.: +30 210 772 2382; Fax: +30 210 772 2431; E-mail: ikouris@biomed.ntug.gr
Abstract: 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.
Keywords: Internet of Things, ambient assisted living, telemonitoring, context aware
