Towards a Unified Framework for the Aggregation and Visualisation of Sensor Data

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dc.contributor.advisor Wang, K en Sathyanarayana Setty, Suraksha en 2018-07-03T03:08:25Z en 2018 en
dc.identifier.uri en
dc.description Full text is available to authenticated members of The University of Auckland only. en
dc.description.abstract The human thirst for data has become increasingly potent. This has now permeated into the field of sensors, where the thirst is being satiated by an explosion of more people using devices such as wearable smart watches, ambient environment sensors, and health monitoring. With all this data at our fingertips, there is undoubtedly a need for solutions that help us make sense of the large volume of information. The current research space however, is lacking in a unified interface of information. Instead, the data is spread through proprietary dash-boards limited to a sole device provider or data type. This makes it difficult for users to correlate data from different devices, and does not allow for unique trends to be identified. Heterogeneous sources should be abstracted so a user can combine different data to glean more useful information. For example, there is no way to see if heart rate from a wearable sensor is somehow related to the humidity of an environment. To address the gap, this thesis proposes a consolidated view of multiple sensor data sources allowing for novel comparisons and relationships to be drawn. The use of cloud-based technologies makes it highly scalable and performant, and allows for around-the-world accessibility. A proto-type solution has been implemented with user scenarios in mind, and is described as three layers of functionality: Data Acquisition, Data Trans-formation, and Data Visualisation. The proposed solution was then evaluated against other frameworks using key functional and non-functional criteria to deliver a novel and unified framework for the visualisation of sensor data. en
dc.publisher ResearchSpace@Auckland en
dc.relation.ispartof Masters Thesis - University of Auckland en
dc.relation.isreferencedby UoA99265080712102091 en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights Restricted Item. Available to authenticated members of The University of Auckland. en
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dc.rights.uri en
dc.title Towards a Unified Framework for the Aggregation and Visualisation of Sensor Data en
dc.type Thesis en Computer Systems Engineering en The University of Auckland en Masters en
dc.rights.holder Copyright: The author en
pubs.elements-id 746919 en
pubs.record-created-at-source-date 2018-07-03 en

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