ATTENTION/WARNING - NE PAS DÉPOSER ICI/DO NOT SUBMIT HERE

Ceci est la version de TEST de DIAL.mem. Veuillez ne pas soumettre votre mémoire sur ce site mais bien à l'URL suivante: 'https://thesis.dial.uclouvain.be'.
This is the TEST version of DIAL.mem. Please use the following URL to submit your master thesis: 'https://thesis.dial.uclouvain.be'.
 

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

Sonnet, Hadrien
(2024)

Files

Sonnet_75071800_2024.pdf
  • Open access
  • Adobe PDF
  • 749.49 KB
Download

Details

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.

Citations

  • APA

Sonnet, H. (2024). Sensor fusion for three-dimensional movement of human beings on an Internet of Things network. https://dial-mem.test.bib.ucl.ac.be/handle/2078.2/39668