Open AccessNavigation control of Drone using Hand Gesture based on Complementary Filter Algorithm
Author(s) -
Almira Budiyanto,
Muhamad Iqbal Ramadhan,
I Burhanudin,
Hendri Himawan Triharminto,
Bagus Jati Santoso
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1912/1/012034
Subject(s) - computer science , gesture , gyroscope , filter (signal processing) , accelerometer , quadcopter , computer vision , drone , noise (video) , artificial intelligence , engineering , biology , image (mathematics) , genetics , aerospace engineering , operating system
One of the most important things to use UAV is navigation control. Navigation control is a way to adjust the direction of the quadcopter movements according to the command of the pilot. Natural User Interface (NUI) is a new way to interact with a system as navigation control. In this study, a wearable device was made that can detect hand gestures and gives instructions to the Dji Tello drone. The MPU6050 sensor is used to provide response in two dimensional axes. The complementary filter implements low pass filter on the accelerometer and integrates the value of the gyroscope with the previous angle output. After that, the value will be fed to the high pass filter. The results of the two filters will obtain stable angle, by adjusting the filter coefficient and the sampling time. The aim of complementary filter method is to reduce noise in angular transformation when the pilot makes hand gestures. Based on the experiments, the results show that hand gestures could give command for Dji Tello drone movements successfully. Therefore, it has been proven that the hand gesture can be used for the navigation control system on the Dji Tello drone.