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dc.contributor.authorLee, William Wei Chien
dc.description.abstractThe smartphone adoption has been on a rise. Smartphone manufacturers are designing and building more sophisticated variants of smartphone to grow their market share and meet growing demands. More sensors are incorporated into smartphones to increase and improve smartphone functionalities. Indiscriminate collection of smartphone sensor data poses a risk on user privacy. This project aims to implement a filter for preserving privacy. The implementation uses accelerometer data collected from the author’s smartphone. The author classifies the state parameters into two groups, the private parameters and the public parameters. The filter protects privacy of the private parameters while minimising the estimation error of public parameters.en_US
dc.format.extent49 p.en_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_US
dc.titlePrivacy filters for smartphonesen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorTay Wee Pengen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Information Engineering and Media)en_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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