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Darmstadt stair ambulation dataset including level walking, stair ascent, stair descent and gait transitions at three stair heights

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datacite.relation.isDescribedBy https://doi.org/10.1371/journal.pone.0239148
dc.contributor.author Grimmer, Martin
dc.contributor.author Zhao, Guoping
dc.contributor.author Zeiss, Julian
dc.contributor.author Weigand, Florian
dc.contributor.author Lamm, Sascha
dc.contributor.author Steil, Martin
dc.contributor.author Heller, Adrian
dc.date.accessioned 2023-06-20T06:53:03Z
dc.date.available 2023-06-20T06:53:03Z
dc.date.created 2023-06-01
dc.date.issued 2023-06-20
dc.description The Darmstadt stair ambulation dataset was collected to improve the control and assistance of wearable lower limb robotics. It contains the kinematics, kinetics and electromyographic data (EMG) for transitions between level walking and stair ascent, and between stair ascent and level walking. Further, it contains the data for transitions in between level walking and stair descent, and between stair descent and level walking. Twelve physically unimpaired male subjects with a mean age of 25.4 yrs and a mean weight of 74.6 kg participated in the experiments. A motion capture system was used to capture the body kinematics. Seven force plates were used in two setups to collect the ground reaction forces of eleven strides for the stair ascent and of eleven strides for the stair descent transitions. The center of pressure, the center of mass, joint angles and angular velocities were determined. Further, inverse dynamics were used to determine the lower limb joint moments and the lower limb joint power. Sixteen EMG sensors were used to collect the muscle activity of twelve muscles. As each EMG sensor also contains an inertial measurement unit (IMU), including 3D-Gyroscope, 3D-Accelerometer and 3D-Magnetometer, they were also used to capture the lower limb kinematics in parallel to the motion capture system. Stair ambulation was performed at three stair slopes. The data is provided at different processing levels including raw to fully processed data. The attached documentation will provide details about the data acquisition, the data processing and the provided data structure and format. de_DE
dc.description.version Version 1.0 de_DE
dc.identifier.uri https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3902
dc.identifier.uri https://doi.org/10.48328/tudatalib-1182
dc.language.iso en de_DE
dc.rights.licenseCC-BY-4.0 (https://creativecommons.org/licenses/by/4.0)
dc.subject stair de_DE
dc.subject biomechanics de_DE
dc.subject walking de_DE
dc.subject transitions de_DE
dc.subject ascent de_DE
dc.subject descent de_DE
dc.subject gait de_DE
dc.subject locomotion de_DE
dc.subject angle de_DE
dc.subject moment de_DE
dc.subject power de_DE
dc.subject joint de_DE
dc.subject center of mass de_DE
dc.subject center of pressure de_DE
dc.subject.classification 4.41-01
dc.subject.classification 4.41-05
dc.subject.ddc 620
dc.subject.ddc 621.3
dc.title Darmstadt stair ambulation dataset including level walking, stair ascent, stair descent and gait transitions at three stair heights de_DE
dc.type Dataset de_DE
dc.type Software de_DE
dcterms.accessRights openAccess
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
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;407-05 Arbeitswissenschaft, Ergonomie, Mensch-Maschine-Systeme
tuda.project DFG | GR4689/3-1 | Robuste phasenbasier
tuda.project DFG | KO1876/15-1 | Robuste phasenbasier
tuda.unit TUDa

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NameDescriptionSizeFormat
Preprocessed.zipEMG, Ground Reaction Forces, IMU, Marker4.21 GBZIP-Archivdateien Download
Processed.zipCenter of Mass, Center of Pressure, Joint Kinetics, Joint Kinematics, Touchdowns3.94 GBZIP-Archivdateien Download
FullyProcessed.zip36.47 MBZIP-Archivdateien Download
Documentation.zip2.46 MBZIP-Archivdateien Download
Subject_Information.zip6.78 KBZIP-Archivdateien Download
Example Scripts.zipMatlab example scripts to extract EMG, IMU and kinetics and kinematics.11.82 KBZIP-Archivdateien Download
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