dc.contributor.authorTio, Prajogo
dc.date.accessioned2017-05-19T06:49:32Z
dc.date.available2017-05-19T06:49:32Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/10356/71874
dc.description.abstractUbiquitous mobile tracking is a challenging problem especially due to the limitations posed by low-quality sensors available. The noise and bias present in the accelerometers, gyroscopes and magnetometers introduce exponential drift and hence double integration method is insufficient. Sophisticated algorithms have been developed to deal with the challenge, however most of them require expensive offline computations or support from specially installed infrastructure. In this report, we describe a robust system for online mobile tracking with satisfactory accuracy using only a pair of smartphone-watch, called Sound of Motion (SoM). A novel technique of inferring motion state from differential arrival time of sound signal serves as an enabling technology. Three sub-components, namely sound ranging, orientation tracker, and position tracker are discussed in detail. Subsequently, the tracking results of SoM are presented and analysed. Finally, various applications of this system as an input primitive and future improvements are explored.en_US
dc.format.extent36 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Computer science and engineeringen_US
dc.titleWrist tracking for ubiquitous human-machine interfaceen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorJun Luoen_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US


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