Training of a deep learning algorithm for quadcopter gesture recognition

• Main Authors: Ng, Calvin, Chua, Alvin
• Format: text
• Published: Animo Repository 2020
• Subjects: Drone aircraft—Control systems; Neural networks (Computer science); Mechanical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2852
• Institution: De La Salle University

Traditional methods to control Unmanned Aerial Vehicles are unintuitive and susceptible to radio interference. Recent research has shown that hand gestures are the most intuitive method for quadcopter control. Also, deep learning in the form of a convolutional neural network is a more compatible app...