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A Generic System-level Framework for Intelligent Sensor Data Management
Mälardalens högskola, Akademin för innovation, design och teknik.
Mälardalens högskola, Akademin för innovation, design och teknik.
2015 (engelsk)Independent thesis Basic level (degree of Bachelor), 10 poäng / 15 hpOppgave
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.

sted, utgiver, år, opplag, sider
2015. , s. 41
HSV kategori
Identifikatorer
URN: urn:nbn:se:mdh:diva-28215OAI: oai:DiVA.org:mdh-28215DiVA, id: diva2:819883
Fag / kurs
Computer Science
Presentation
2015-06-05, Kappa, Högskoleplan 1, Västerås, 11:40 (engelsk)
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ESS-HTilgjengelig fra: 2015-06-30 Laget: 2015-06-11 Sist oppdatert: 2018-01-11bibliografisk kontrollert

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