The recent surge in interest surrounding drones, also known as unmanned aerial vehicles (UAVs), has been observed in a multitude of applications, including military operations, agricultural practices, industrial processes, and others. One effective method for controlling the flight of a drone is through the use of hand gestures. This approach offers a design at a lower cost. The primary objective of this research is to gain a comprehensive understanding of the functioning of convolutional neural networks and their applications in hand gesture recognition. The model was trained during the implementation phase. Once all the requisite components have been installed, the final user will be able to design a convolutional neural network that can control a drone by pointing the hand toward a laptop or a camera set directly on the drone. Furthermore, it is possible to further train the model with data that is most suited to the environment in question.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Drone Controlled by Hand Gestures


    Contributors:


    Publication date :

    2024-11-04


    Size :

    1147371 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    LANDING AN AUTONOMOUS DRONE WITH GESTURES

    HINTERMANN MATHIAS ANDREAS / HUANG JUSTIN / PATTON RUSSELL DOUGLAS | European Patent Office | 2023

    Free access

    CONTROL OF AN AERIAL DRONE USING RECOGNIZED GESTURES

    GORDON MICHAEL S / KOZLOSKI JAMES R / KUNDU ASHISH et al. | European Patent Office | 2017

    Free access

    Control of an aerial drone using recognized gestures

    GORDON MICHAEL S / KOZLOSKI JAMES R / KUNDU ASHISH et al. | European Patent Office | 2019

    Free access

    Camera-based Virtual Drone Control System Using Two-handed Gestures

    Weon, Juyeon / Yong, Taein / Kim, Jaeho | IEEE | 2024


    Hand Gestures Recognition using Thermal Images

    BRELAND, DANIEL SKOMEDAL | BASE | 2021

    Free access