Inaudible echo-based indoor position recognition (part 2)
Indoor 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...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/147999 https://doi.org/10.1145/3264945 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Indoor 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 filter |
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