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Microcontroller Unit-Based Gesture Recognition System

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Publicado en:Machines vol. 13, no. 2 (2025), p. 90
Autor principal: Grabarczyk, Jakub
Otros Autores: Lazarowska, Agnieszka
Publicado:
MDPI AG
Materias:
Raspberry Pi Ltd
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
Acceso en línea:Citation/Abstract
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Resumen: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.
ISSN:2075-1702
DOI:10.3390/machines13020090
Fuente:Engineering Database