Data collection for widely distributed mass of sensors

In the recent decade, many technological innovations have increasingly been incorporated into smart city architectures. Our modern and rushing lifestyle implies at least one fitness tracker or wearable device in most households. Usually, devices are equipped with a set of biosensors, thus producing valuable time series that can be used to track selected areas. The use of bio-sensory time series is not limited to private purposes; data can also be used to improve services in our everyday life. The data generated by bio-sensory devices primarily infiltrate into smart home solutions. However, comprehensive smart home solutions also allow improvements for smart city solutions. The critical factor is the consecutive change in the subject technologies that form the smart city and smart home architectures, including the sensitivity aspects of data originating from confidential sources. Vendors must keep up with this continuous change and release newer and newer solutions, but information systems like HIS (Hospital Information System) or DSS (Decision Support Systems) are not following up at the same speed. This research will demonstrate developments that can make the services of smart ecosystems more valuable by using data collection and analyzing services based on bio-sensory data. Based on the presented research results, smart ecosystems can act considerably more effectively during an epidemic or a pandemic. The research paper focuses on how bio-sensory time series data can be collected and used, how the data can be integrated into smart ecosystems, and how it can be integrated into smart healthcare solutions.

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“…Smart home solutions can extend the raw measurement bio-sensory data with other metadata, e.g. current temperature or air pressure, as well [14].…”

Section: Smart Home Solutionsmentioning

confidence: 99%