Wearable technologies are transforming research in traditional paradigms of software and knowledge engineering. Among them, expert systems have the opportunity to deal with knowledge bases dynamically varying according to real-time data collected by position sensors, movement sensors, etc. However, it is necessary to design and implement opportune architectural solutions to avoid expert systems are responsible for data acquisition and representation. These solutions should be able to collect and store data according to expert systems desiderata, building a homogeneous framework where data reliability and interoperability among data acquisition, data representation and data use levels are guaranteed. To this aim, the wearable environment notion has been introduced to treat all those information sources as components of a larger platform; a middleware has been designed and implemented, namely WEAR-IT, which allows considering each sensor as a source of information that can be dynamically tied to an expert system application running on a smartphone. As an application example, the mHealth domain is considered.

Sartori, F. (2020). An API for wearable environments development and its application to mhealth field. SENSORS, 20(21), 1-26 [10.3390/s20215970].

An API for wearable environments development and its application to mhealth field

Sartori, F
2020

Abstract

Wearable technologies are transforming research in traditional paradigms of software and knowledge engineering. Among them, expert systems have the opportunity to deal with knowledge bases dynamically varying according to real-time data collected by position sensors, movement sensors, etc. However, it is necessary to design and implement opportune architectural solutions to avoid expert systems are responsible for data acquisition and representation. These solutions should be able to collect and store data according to expert systems desiderata, building a homogeneous framework where data reliability and interoperability among data acquisition, data representation and data use levels are guaranteed. To this aim, the wearable environment notion has been introduced to treat all those information sources as components of a larger platform; a middleware has been designed and implemented, namely WEAR-IT, which allows considering each sensor as a source of information that can be dynamically tied to an expert system application running on a smartphone. As an application example, the mHealth domain is considered.
Articolo in rivista - Articolo scientifico
Android Wear; Application configuration; Bluetooth Low Energy; Internet of Things; MHealth; Smart environments; Wearable/mobile sensor information;
Android Wear; Bluetooth Low Energy; application configuration; wearable/mobile sensor information; smart environments; Internet of Things; mHealth
English
22-ott-2020
2020
20
21
1
26
5970
open
Sartori, F. (2020). An API for wearable environments development and its application to mhealth field. SENSORS, 20(21), 1-26 [10.3390/s20215970].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/289259
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