Multimodal Interface Architecture for Unmanned Aerial Vehicle Control

被引：0
|
作者：
Abramov N.S. [1 ]
Emel’yanova Y.G. [1 ]
Talalaev A.A. [1 ]
Fralenko V.P. [1 ]
Khachumov M.V. [1 ,2 ]
机构：
[1] Ailamazyan Program Systems Institute, Russian Academy of Sciences, ul. Petra Pervogo 4a, Pereslavskii raion, Yaroslavskaya oblast, s. Ves’kovo
[2] Federal Research Center “Computer Science and Control”, ul. Vavilova 44, Moscow
来源：
Russian Aeronautics | 2022年 / 65卷 / 03期
基金：
俄罗斯科学基金会;
关键词：
architecture; artificial neural network; command; gesture control; intelligent solver; multimodal interface; unmanned aerial vehicle; voice control;
D O I：
10.3103/S1068799822030084
中图分类号：
学科分类号：
摘要：
Abstract: We considered an approach to the construction of a combined smart interface for the control system of a quadrocopter-type unmanned aerial vehicle that integrates various methods of information input, processing, and transmission. In this work, the architecture and system of voice and gesture commands of the quadrocopter control system multimodal interface are presented. Training samples were prepared and experimental verification of recognition algorithms using artificial neural networks of deep learning was carried out. © 2022, Allerton Press, Inc.
引用
收藏
页码：498 / 506
页数：8
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