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This article describes the design, construction, and programming of a microcontroller-based system, which uses hand gestures with machine learning algorithms to control an unmanned aerial vehicle (UAV). A neural network is used as a model, and an IMU sensor detects the gestures. The developed gesture recognition system, besides the IMU sensor, is composed of a Raspberry Pi Pico and radio communication module. The benefits and drawbacks of deploying machine learning models on microcontrollers, as opposed to units superior in terms of clocking are also discussed.

Details

1009240
Subject
Radio communications;
Microcontrollers;
Microelectromechanical systems;
Machine learning;
Embedded systems;
Neural networks;
Computer vision;
Electromagnetism;
Unmanned aerial vehicles;
People with disabilities;
Magnetic fields;
Sensors;
Gesture recognition;
Algorithms;
Accelerometers;
Vehicles
Business indexing term
Company / organization
Name:
Raspberry Pi Ltd
NAICS:
334111
Identifier / keyword
machine learning; gestures; UAV; microcontroller
Title
Microcontroller Unit-Based Gesture Recognition System
Author
Grabarczyk, Jakub 1 ; Lazarowska, Agnieszka 2   VIAFID ORCID Logo 

1  Faculty of Electrical Engineering, Gdynia Maritime University, 81-225 Gdynia, Poland 
2  Department of Autonomous Systems, Faculty of Computer Science, Gdynia Maritime University, 81-225 Gdynia, Poland 
Publication title
Machines; Basel
Volume
13
Issue
2
First page
90
Publication year
2025
Publication date
2025
Publisher
MDPI AG
Place of publication
Basel
Country of publication
Switzerland
Publication subject
Engineering--Mechanical Engineering
e-ISSN
20751702
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-01-23
Milestone dates
2024-12-03 (Received); 2025-01-20 (Accepted)
Publication history
 
 
   First posting date
23 Jan 2025
DOI
https://doi.org/10.3390/machines13020090
ProQuest document ID
3171134538
Document URL
https://www.proquest.com/scholarly-journals/microcontroller-unit-based-gesture-recognition/docview/3171134538/se-2?accountid=208611
Copyright
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-02-26
Database
ProQuest One Academic