Code underlying the MSc thesis: Observing human gait and detecting falls: A model-based approach based on wearable sensors

DOI:10.4121/ca5b3196-ac7c-4753-93cd-099d82277a99.v2
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/ca5b3196-ac7c-4753-93cd-099d82277a99
Datacite citation style:
Umans, Sachin (2024): Code underlying the MSc thesis: Observing human gait and detecting falls: A model-based approach based on wearable sensors. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/ca5b3196-ac7c-4753-93cd-099d82277a99.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

choose version:
version 2 - 2024-02-14 (latest)
version 1 - 2024-01-30
Delft University of Technology logo

Usage statistics

107
views
108
downloads

Time coverage

2023

Licence

MIT

Code complementing the thesis by Sachin Umans for the degree of MSc Systems & Control from the TU Delft. Contains a model-based, pre-impact fall detector algorithm based on a single wearable IMU sensor. MSc thesis: Observing human gait and detecting falls

History

  • 2024-01-30 first online
  • 2024-02-14 published, posted

Publisher

4TU.ResearchData

Format

Matlab code

Organizations

TU Delft, Faculty of Mechanical Engineering (ME), Delft Center for Systems and Control (DCSC)

DATA

Files (3)