Research on Intelligent Interaction Technology for UAV Control
WANG Zhefeng
LI Bo
Abstract：Aiming at the problem of insufficient utilization of gesture information in unmanned aerial vehicle(UAV)control,a typical airborne gesture interaction algorithm is proposed.By recognizing typical gestures and their movement directions,the matching relationship between gestures and command instructions is established,thereby achieving command and control of UAV.Aiming at the problem of a single human-machine interaction channel in the current unmanned aerial vehicle control command sys-tem,a dual channel unmanned aerial vehicle control human-machine interaction framework based on voice and gesture is pro-posed,and a multi-channel command system interaction efficiency evaluation model is established to improve the efficiency of un-manned aerial vehicle control.This paper studies the command instruction generation process based on feature fusion CNN gesture recognition,and constructs a CNN gesture recognition model based on feature fusion.
Keywords：UAV controlgesture interactionmulti-channel interactionCNN gesture recognition
Publication Date：2025-09-20
Online Publishing Date：2025-12-23(First online date of this platform, not the publication date of the document)
Pages：5( 42-45,73 )