Code underlying the MSc thesis: Observing human gait and detecting falls: A wearable model-based approach
Datacite citation style:
Umans, Sachin (2024): Code underlying the MSc thesis: Observing human gait and detecting falls: A wearable model-based approach. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/ca5b3196-ac7c-4753-93cd-099d82277a99.v1
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Dataset
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version 2 - 2024-02-14 (latest)
version 1 - 2024-01-30
Code complementing the thesis by Sachin Umans for the degree of MSc Systems & Control from the TU Delft. Contains a wearable, model-based, pre-impact fall detector algorithm based on a single IMU sensor.
history
- 2024-01-30 first online, published, posted
publisher
4TU.ResearchData
format
Matlab code
derived from
organizations
TU Delft, Faculty of Mechanical Engineering (ME), Delft Center for Systems and Control (DCSC)
DATA
files (3)
- 77,399 bytesMD5:
8ac41919cf60ca7d66dc1d8a03e16057
README.pdf - 77,773,352 bytesMD5:
8e0eeb39577ade4d1bdba2f38d3e4962
FallDetectionAlgorithm.zip - 1,088 bytesMD5:
facdbfc503eca91b15a9765be69c8ba4
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