Issue No. 06 - Nov.-Dec. (2016 vol. 3)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCC.2016.128
Stylianos Balampanis , Technical University of Crete
Stelios Sotiriadis , Technical University of Crete
Euripides G.M. Petrakis , Technical University of Crete
Internet of Things (IoT) devices deliver significant benefits for storing sensing data that could be used intelligently for multiple purposes. A major concern in enhanced living environments (ELEs) is the efficient daily use of sensors in the collection, monitoring, and storing of data to improve users' quality of life. In this article, the authors present an IoT cloud architecture that allows connection of users, their devices, and the cloud system in a modular way by separating modalities into different cloud services that are deployed independently. They focus on the e-health domain and present a use case of patient monitoring using motion-sensing devices. Their architecture provides significant benefits, including reduced costs and real-time data monitoring aiming to improve the patient experience. In rehabilitation environments, the system allows proactive treatment, real-time prevention with continuous monitoring of users, and improvement of the overall treatment process by allowing caregivers access to real-time user information.
motion sensor data collection, Internet of Things, cloud computing, enhanced living environments, e-health,
Stylianos Balampanis, Stelios Sotiriadis, Euripides G.M. Petrakis, "Internet of Things Architecture for Enhanced Living Environments", IEEE Cloud Computing, vol. 3, no. , pp. 28-34, Nov.-Dec. 2016, doi:10.1109/MCC.2016.128