Year: 2025
Type: article
Abstract: Gesture-controlled drones represent a significant advancement in human-computer interaction, allowing users to operate drones using simple hand movements without the need for traditional controllers. This technology utilizes computer vision, machine learning, and sensor-based systems to interpret gestures and translate them into drone commands such as takeoff, landing, movement, and hovering. A typical gesture-controlled drone employs a combination of cameras, accelerometers, gyroscopes, and deep learning models to recognize predefined gestures in real-time. Image processing techniques, such as OpenCV and deep neural networks, enhance the accuracy of gesture recognition, ensuring seamless communication between the user and the drone. Keywords--- Gesture Recognition, Drone Control, Computer Vision.
DOI: 10.55041/ijsrem41378
Author: Aariz Faki
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4407180145