Sensor fusion for three-dimensional movement of human beings on an Internet of Things network

Sonnet, Hadrien
(2024)

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Supervisors
Van Roy, Peter
Degree label
Master [120] : ingénieur civil en science des données, à finalité spécialisée
Abstract
The purpose of this master’s thesis is to apply the Kalman filter to the problem of human motion tracking. The goal is to develop a fault-tolerant sensor fusion application that can accurately track human movement. One of the primary challenges of this thesis will be creating a physical model of the human body to improve motion tracking accuracy. By integrating this model, we aim to significantly enhance the precision of our tracking system.