The doi 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

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

Dataset

x choose version: version 1 - 2024-01-30

• Other Engineering
• Engineering

fall detection, gait, model-based, pre-impact, robot-assisted fall recovery, wearable sensor

2023

MIT

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Sachin Umans

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

• 2024-01-30 first online

• 2024-02-14 published, posted

4TU.ResearchData

Matlab code

• http://resolver.tudelft.nl/uuid:4757b9fd-580d-41c2-92ed-768a1a50189a

• https://github.com/sachinumans/SAUmansThesis

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