Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/147999
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dc.contributor.authorEng, Yong Pengen_US
dc.date.accessioned2021-04-22T02:50:50Z-
dc.date.available2021-04-22T02:50:50Z-
dc.date.issued2021-
dc.identifier.citationEng, Y. P. (2021). Inaudible echo-based indoor position recognition (part 2). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/147999en_US
dc.identifier.urihttps://hdl.handle.net/10356/147999-
dc.description.abstractIndoor localization using mobile application has seen raised in demand in the market. Room Recognition using inaudible echo is one of the techniques for indoor localization. In addition, it is susceptible to phone orientation which had detrimental effect on room recognition accuracy. This project studies various methods to sense phone orientation in real-time to mitigate the impact of phone orientation on indoor position recognition. In this paper, we explore the characteristics of 3 orientation sensing sensors: accelerometer, gyroscope, and magnetometer. Each of the sensors is not perfect in determining the phone orientation but have certain benefits to compensate one another. The benefits of the 3 sensors will be combined using a sensor fusion algorithm to produce the best possible orientation estimation. While there are several ways to conduct sensor fusion, we will concentrate on using complementary filters in this project. Keywords: Indoor localization, Room recognition, Inaudible echo, Smartphone, Sensors, Phone orientation, Accelerometer, Gyroscope, Magnetometer, Sensor fusion, Complementary filteren_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationSCSE20-0074en_US
dc.relation.urihttps://doi.org/10.1145/3264945en_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleInaudible echo-based indoor position recognition (part 2)en_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorTan Ruien_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
dc.contributor.supervisoremailtanrui@ntu.edu.sgen_US
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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