Affiliation:
1. University of Debrecen
Abstract
Abstract
In the recent decade, increasingly many technological innovations have been incorporated into smart city architectures. The modern lifestyle requires people to have at least one fitness tracker or another wearable device in most households. Usually, devices are equipped with more biosensors thus producing valuable time series that can be used to track the desired areas. The use of bio-sensory time series is not limited to private purposes only, data can be used to improve services in everyday life. The data generated by bio-sensory devices primarily infiltrate smart home solutions. However, the extended smart home solutions give the opportunity to improve smart city solutions as well. The consecutive change in the subject technologies that form the smart city and smart home architectures, as well as the sensitivity of data from confidential sources, is the key factor. The vendors must keep up with the continuous change. This research will demonstrate results that can make the services of smart ecosystems more valuable by using bio-sensory data. Based on the presented research results, smart ecosystems can act much more effectively against 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.
Publisher
Research Square Platform LLC
Reference22 articles.
1. Tai-hoon Kim, Carlos Ramos, Sabah Mohammed, Smart City and IoT, Future Generation Computer Systems, Volume 76, 2017, Pages 159–162
2. Design and Implementation of Smart Home Energy Management Systems Based on Zigbee [J]";Han Dae-Man;Consumer Electronics,2010
3. Methodology for clinical integration of e-Health sensor-based smart device technology with cloud architecture;Garai Á;Pollack Periodica,2017
4. "Smart Healthcare: Applications of the Internet of Things in Medical Treatment and Health";Xue Qin;Information Construction,2010
5. eHealth integration and interoperability issues: towards a solution through enterprise architecture”;Adenuga OA;Health Information Science and Systems,2015