The Concept of a Smart Action – Results from Analyzing Information Systems Literature

In recent years, the term \u27smartness\u27 has entered widespread use in research and daily life. It has emerged with various applications of the Internet of Things, such as smart homes and smart factories. However, rapid technological development and careless use of the term mean that, in information systems (IS) research, a common understanding of smartness has not yet been established. And while it is recognized that smartness encompasses more than the use of impressive information technology applications, a unified conceptualization of how smartness is manifested in IS research is lacking. To this end, we conducted a structured literature review applying techniques from Grounded Theory. We found that smartness occurs through actions, in which smart things and individuals interact, process information, and make data-based decisions that are perceived as smart. Building on these findings, we propose the concept of a \u27smart action\u27 and derive a general definition of smartness. Our findings augment knowledge about how smartness is formed, offering a new perspective on smartness. The concept of a smart action unifies and increases understanding of \u27smartness\u27 in IS research. It supports further research by providing a concept for describing, analyzing, and designing smart actions, smart devices, and smart services

TWO WAY ARCHITECTURE BETWEEN IOT SENSORS AND CLOUD COMPUTING FOR REMOTE HEALTH CARE MONITORING APPLICATIONS

This research presents an intelligent two way IoT (Internet of Things) architecture that uses IoT sensors and cloud-technology for data collection, monitoring and alerting strategies. This approach can enhance development of support systems which are useful for patients and aging individuals who want to remain in an independent living environment. Such an architecture can be used for early detection of anomalies and reduce medical costs. In this paper we present a technical architecture called SMMC - Sensors, Micro Controller, Machine to Machine Protocols and Cloud. The technical architecture proposed will firstly collect data from IoT sensors at the point of care. Secondly, the data collected by sensors is usually an analogue signal, this is processed by the micro controller. Thereafter the data is sent to the cloud, where clinical decision support algorithms can be applied to check for any clinically alarming anomalies in the data. Finally using machine to machine protocols can be used to activate sensors for feedback or alerts. We present this architecture along with a smart bed scenario, and describe further research in progress