Next Article in Journal
Cancer Diagnostics and Early Detection Using Electrochemical Aptasensors
Next Article in Special Issue
An Evaluation of MEMS-IMU Performance on the Absolute Trajectory Error of Visual-Inertial Navigation System
Previous Article in Journal
Particle Deposition in the Vicinity of Multiple Film Cooling Holes
Previous Article in Special Issue
Prediction of Surface Roughness as a Function of Temperature for SiO2 Thin-Film in PECVD Process
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Micromachines
Volume 13
Issue 4
10.3390/mi13040521
micromachines-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Control of a Drone in Virtual Reality Using MEMS Sensor Technology and Machine Learning

by
Florin Covaciu
1 and
Anca-Elena Iordan
2,*
1
Department of Design Engineering and Robotics, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania
2
Department of Computer Science, Technical University of Cluj-Napoca, 400027 Cluj-Napoca, Romania
*
Author to whom correspondence should be addressed.
Micromachines 2022, 13(4), 521; https://doi.org/10.3390/mi13040521
Submission received: 23 February 2022 / Revised: 16 March 2022 / Accepted: 23 March 2022 / Published: 26 March 2022
(This article belongs to the Special Issue Advances in MEMS Theory and Applications)
Browse Figures
Versions Notes

Abstract

In recent years, drones have been widely used in various applications, from entertainment, agriculture, their use in photo and video services, military applications and so on. The risk of accidents while using a drone is quite high. To meet this risk, the most important solution is to use a device that helps and simplifies the control of a drone; in addition, the training of drone pilots is very important. To train the drone pilots, both physical and virtual environments can be used, but the probability of an accident is higher for beginners, so the safest method is to train in a virtual environment. The aim of this study is to develop a new device for controlling a drone in a virtual environment. This device is attached to the upper limb of the person involved in the control of that drone. For precise control, the newly created device uses MEMS sensor technology and artificial intelligence-specific methods.
Keywords: MEMS sensors; machine learning; virtual reality; accelerometer; magnetometer; gyroscope; sensors fusion MEMS sensors; machine learning; virtual reality; accelerometer; magnetometer; gyroscope; sensors fusion

Share and Cite

MDPI and ACS Style

Covaciu, F.; Iordan, A.-E. Control of a Drone in Virtual Reality Using MEMS Sensor Technology and Machine Learning. Micromachines 2022, 13, 521. https://doi.org/10.3390/mi13040521

AMA Style

Covaciu F, Iordan A-E. Control of a Drone in Virtual Reality Using MEMS Sensor Technology and Machine Learning. Micromachines. 2022; 13(4):521. https://doi.org/10.3390/mi13040521

Chicago/Turabian Style

Covaciu, Florin, and Anca-Elena Iordan. 2022. "Control of a Drone in Virtual Reality Using MEMS Sensor Technology and Machine Learning" Micromachines 13, no. 4: 521. https://doi.org/10.3390/mi13040521

APA Style

Covaciu, F., & Iordan, A.-E. (2022). Control of a Drone in Virtual Reality Using MEMS Sensor Technology and Machine Learning. Micromachines, 13(4), 521. https://doi.org/10.3390/mi13040521

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop