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Dataset for Event Detection in Gait Analysis from 3D-Printed Piezoelectric PLA-Based Insole on an Instrumented Treadmill

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datacite.relation.isReferencedBy https://doi.org/10.1109/JSEN.2024.3416847 en
datacite.relation.isSupplementTo https://doi.org/10.1109/JSEN.2024.3416847 en
dc.contributor.author Latsch, Bastian
dc.contributor.author Schäfer, Niklas
dc.contributor.author Grimmer, Martin
dc.contributor.author Ben Dali, Omar
dc.contributor.author Mohseni, Omid
dc.contributor.author Bleichner, Niklas
dc.contributor.author Altmann, Alexander
dc.contributor.author Schaumann, Stephan
dc.contributor.author Wolf, Sebastian
dc.contributor.author Seyfarth, Andre
dc.contributor.author Beckerle, Philipp
dc.contributor.author Kupnik, Mario
dc.date.accessioned 2024-03-05T13:02:33Z
dc.date.available 2024-03-05T13:02:33Z
dc.date.created 2024
dc.date.issued 2024-03-05
dc.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. en
dc.identifier.uri https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4152
dc.identifier.uri https://doi.org/10.48328/tudatalib-1360
dc.language.iso en en
dc.rights.licenseCC-BY-4.0 (https://creativecommons.org/licenses/by/4.0)
dc.subject smart insole en
dc.subject gait analysis en
dc.subject human locomotion en
dc.subject piezoelectric sensor en
dc.subject ferroelectret en
dc.subject gait event detection en
dc.subject sensor characterization en
dc.subject.classification 4.41-01
dc.subject.classification 4.41-02
dc.subject.classification 4.41-05
dc.subject.classification 4.41-06
dc.subject.classification 4.42-01
dc.subject.ddc 621.3
dc.subject.ddc 620
dc.title Dataset for Event Detection in Gait Analysis from 3D-Printed Piezoelectric PLA-Based Insole on an Instrumented Treadmill en
dc.type Dataset en
dc.type Software en
dcterms.accessRights openAccess
person.identifier.orcid 0000-0001-9929-5694
person.identifier.orcid 0000-0001-5433-0273
person.identifier.orcid 0000-0003-1921-1433
person.identifier.orcid 0000-0002-7318-3974
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid 0009-0009-9236-0487
person.identifier.orcid 0000-0001-5299-3620
person.identifier.orcid 0009-0001-2705-9833
person.identifier.orcid 0000-0003-3921-6629
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid 0000-0001-5703-6029
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
tuda.history.classification Version=2020-2024;407-01 Automatisierungstechnik, Regelungssysteme, Robotik, Mechatronik, Cyber Physical Systems
tuda.history.classification Version=2020-2024;407-02 Messsysteme
tuda.history.classification Version=2020-2024;407-05 Arbeitswissenschaft, Ergonomie, Mensch-Maschine-Systeme
tuda.history.classification Version=2020-2024;407-06 Biomedizinische Systemtechnik
tuda.history.classification Version=2020-2024;408-01 Elektronische Halbleiter, Bauelemente und Schaltungen, Integrierte Systeme
tuda.project DFG | GRK2761 | TP_Kupnik_GRK_2761
tuda.project DFG | GRK 2761 | TP_Beckerle_GRK_2761
tuda.project DFG | GRK2761 | TP_Seyfarth_GRK_2761
tuda.project DFG | GRK2761 | TP_Heidelberg_GRK_27
tuda.unit TUDa

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Now showing 1 - 6 of 6
NameDescriptionSizeFormat
data.hdf5Structured dataset in HDF5 format19.53 MB Download
README.mdInstructions and further information2.4 KBUnknown data format Download
sample_plot_data.ipynbJupyter notebook sample script for data reading and plotting5.4 KBUnknown data format Download
sample_plot_data.mMATLAB sample script for data reading and plotting3.38 KBUnknown data format Download
sample_plot_data.pyBare python sample script for data reading and plotting3.64 KB Download
requirements.txtPython dependencies6.53 KBPlain Text Download
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