Machine Learning Algorithms for Filtering Data Acquired by Arduino
Journal
Lecture Notes in Networks and Systems
Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023)
ISSN
2367-3370
2367-3389
Date Issued
2024
Author(s)
Mateo Llerena
Jessica López
Carlos Gordón
Type
book-chapter
Abstract
In this paper, we developed an artificial intelligence-based data filtering algorithm to improve the accuracy and reliability of MPU6050 sensor measurements. Using the Edge Impulse platform, we trained and optimized the machine learning model for real-time processing of accelerometer and gyroscope readings. The solution was implemented on the ESP32 with a sampling rate of 600 Hz. The experimental results validated the effectiveness of the solution, highlighting its relevance in applications requiring real-time monitoring