Dataset for Event Detection in Gait Analysis from 3D-Printed Piezoelectric PLA-Based Insole on an Instrumented Treadmill
Description
In the experiment, one test person wearing a ferroelectret insole in the right shoe walks on an instrumented treadmill. The dataset contains data from four ferroelectret sensors in the insole and vertical ground reaction forces (GRF) from an instrumented treadmill across five different walking speeds. The ferroelectret insole data are filtered and given in Volt. The GRF treadmill data from the right side are filtered and given in Newton. The data are segmented into steps from one heel strike to the same foot's following heel strike and normalized into 1000 data points per step. Each row contains one step with 1000 columns. The amount of steps/rows depends on the walking speed: 74 for slowest v050, 124 for fastest v150.
Please find the full description in the corresponding publication, full instructions for usage in the README.md file. Copyright of thumbnail image 2024, IEEE.
Subject
smart insole;gait analysis;human locomotion;piezoelectric sensor;ferroelectret;gait event detection;sensor characterizationDFG subject classification
407-01 Automatisierungstechnik, Regelungssysteme, Robotik, Mechatronik, Cyber Physical Systems407-02 Messsysteme
407-05 Arbeitswissenschaft, Ergonomie, Mensch-Maschine-Systeme
407-06 Biomedizinische Systemtechnik
408-01 Elektronische Halbleiter, Bauelemente und Schaltungen, Integrierte Systeme
URI
https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4152https://doi.org/10.48328/tudatalib-1360
Related third party funded projects
DFG | GRK2761 | TP_Kupnik_GRK_2761DFG | GRK 2761 | TP_Beckerle_GRK_2761
DFG | GRK2761 | TP_Seyfarth_GRK_2761
DFG | GRK2761 | TP_Heidelberg_GRK_27
Related Resources
- Is supplement to: DOI:10.1109/JSEN.2024.3416847
- Is referenced by: DOI:10.1109/JSEN.2024.3416847
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