Visualizing Attitudinal Dynamics of Moving Objects via Android: Capturing Pitch, Roll, and Yaw Parameters

In recent times, smartphones can be said to have become a necessity for users. From children to old age, everyone knows what a Smartphone is. The smartphone has various uses according to its users and is equipped with hardware with various sensors. The sensors that each smartphone owns also vary depending on the original factory. Some of the sensors owned by smartphones have beneficial uses; for example, magnetometer sensors do use to determine the wind direction. Then there is the Accelerometer and Gyroscope sensor, which will form an orientation sensor to discover the changes the smartphone feels at an angle, which developed in an application. This study emphasizes the value of the Pitch, Roll, Azimuth, and Angle sensors, which will form a graph according to the behavior of the smartphone. The overall experimental outcomes were obtained by conducting a comprehensive comparison against applications available on the Play Store, ensuring that the margin of error remained below 5 degrees. The orientation sensor is intended to get the value of the attitude change by the smartphone, whose value will then form a graph in real-time. The values preserved results will storing in the Cloud Firebase.