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A Generic System-level Framework for Intelligent Sensor Data Management
Mälardalen University, School of Innovation, Design and Engineering.
Mälardalen University, School of Innovation, Design and Engineering.
2015 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Drug stores sell them, warehouse stores sell them, your doctor probably uses them - health sensing equipment used to monitor bodily data is on the upswing. Several brands have released their own weighing scales, blood pressure monitors, pulse bands etc., together with their own smartphone applications. However, the usage of sensor devices in a medical environment is in need of a general framework that can be a base for implementing systems capable of handling a wide range of sensor devices. A patient using a sensor, taking a measurement, uploads the data with a collector (e.g. smartphone) to a gateway (i.e. web service) where medical personnel can use the data to evaluate a person's health or raise an alarm if a person is at risk. A study on existing frameworks led to the design and implementation of a framework that handles generic sensor data transportation between (i) sensors and the collector and (ii) the collector and a gateway, using the Android platform. The work resulted in an implemented Android framework (called SFW) and a prototype using the framework; consisting of an Android user application and a RESTful web service. Functional testing was used to evaluate the framework where three different sensor devices plus one simulated configurable “sensor” were used to verify that the framework can handle different types of measurement data. The experimental evaluations show that SFW is capable in handling generic sensors' measurements but still contains possible areas of improvements such as implementation of encryption and, in the future, further evaluation.

Place, publisher, year, edition, pages
2015. , 41 p.
National Category
Computer Science
URN: urn:nbn:se:mdh:diva-28215OAI: diva2:819883
Subject / course
Computer Science
2015-06-05, Kappa, Högskoleplan 1, Västerås, 11:40 (English)
Available from: 2015-06-30 Created: 2015-06-11 Last updated: 2015-06-30Bibliographically approved

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