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Biomedical Engineering

Vol. 37 No. 12 (2022): Proceedings of Faculty of Technical Sciences

FALL DETECTION DEVICE BASED ON ACCELEROMETER, GYROSCOPE, GPS MODULE, AND MACHINE LEARNING MODEL

  • Sanja Mandić
DOI:
https://doi.org/10.24867/20RB01Mandic
Submitted
December 7, 2022
Published
2022-12-07

Abstract

In this paper, a fall detection system, whose main purpose is assistance to the elderly, is described. The paper gives an insight into all parts of the implemented fall detection system, by describing hardware components and device prototype, device design, and implementation, programming of the microcontroller for this purpose, creating the user interface, forming a database, and training different classification models.

References

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