Please use this identifier to cite or link to this item:
|Title:||Personal positioning and location inferences (II)||Authors:||Tan, Zhao Qin.||Keywords:||DRNTU::Engineering::Computer science and engineering::Information systems::Information systems applications||Issue Date:||2012||Abstract:||This FYP report will focus on some of the main problems of concern that arise from personal positioning. The project will allow predictions to be made with regards to a person’s travelling behavior after observing its travelling pattern for a period of time. This project will be divided into four different stages. Firstly, raw data will be collected from the user over a period of two to three months daily. This data will be reflected on Google Earth to visualize the respective routes that has been taken. After that, a filtering process will be used to remove any anomaly points as a pre-processing of data to maintain the accuracy of the coordinates. Explanations will be required to determine the points to be removed from the original data to maintain consistency. Clustering algorithms will also be implemented to identify the various SPs (Significant Places) of the person. Next, paths that have been taken between the SPs will also be analyzed using the clustering algorithm. Transition probability will also be taken into consideration to relate the possibility of moving from this SP to the other by a single route. Finally, prediction will be made to define how true it is to move from this point to the other by the user.||URI:||http://hdl.handle.net/10356/48521||Rights:||Nanyang Technological University||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||SCSE Student Reports (FYP/IA/PA/PI)|
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.