Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/59267
Title: Detecting real-time mobile phone attitude
Authors: Chan, Weiming
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
Issue Date: 2014
Abstract: This work discusses the technical approaches on detecting a smartphone’s attitude in real-time. The main focus lies on creating a demonstration system, which showcases pitch, roll, and yaw rotations based on the readings from a smartphone’s sensors. This is accomplished by developing an Android mobile application that detects and return the device’s attitude values to a host computer, for visualization in different Unity3D simulations. In the demonstrations, the input attitude is used to rotate a model rendering, steer a virtual vehicle, and control a virtual flight. This system will be used as a platform to test and showcase algorithms created specifically to solve the inaccuracies of attitude values returned by smartphones. It is shown through an experiment that the system can be used to successfully compare different attitude detection algorithms through the collection of numerical attitude data into a generated spreadsheet.
URI: http://hdl.handle.net/10356/59267
Schools: School of Computer Engineering 
Research Centres: Parallel and Distributed Computing Centre 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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