Mobile crowd sensing and machine learning (Part V)

• Main Author: Tan, Deon Jun Wei
• Other Authors: Luo Jun
• Format: Final Year Project
• Language: English
• Published: 2019
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: http://hdl.handle.net/10356/77216
• Institution: Nanyang Technological University

Since year 2000, smartphones are readily available for people worldwide to use. Inside that device, it embedded a technology that improved people navigation from point A to B. It is the Global Navigation Satellite Systems (GNSS). In this project, a mobile application based on Android operating system was used to measure the performance metric of that system under urban areas. During this day and age, more people are using this device to navigate in city area like Singapore. In addition, this project was carried over by another student. Hence the mobile application on Android was carried over. The application would run with a lab device provided with have the necessary satellite technology to proceed with the measurement. In conclusion, this report will show an in-depth analysis of the application measurement metric using on-board sensors in the android device.