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dc.contributor.authorGrimmer, Martin
dc.contributor.authorZhao, Guoping
dc.contributor.authorZeiss, Julian
dc.contributor.authorWeigand, Florian
dc.contributor.authorLamm, Sascha
dc.contributor.authorSteil, Martin
dc.contributor.authorHeller, Adrian
dc.date.accessioned2023-06-20T06:53:03Z
dc.date.available2023-06-20T06:53:03Z
dc.date.issued2023-06-01
dc.identifier.urihttps://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3902
dc.identifier.urihttps://doi.org/10.48328/tudatalib-1182
dc.descriptionThe 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.language.isoende_DE
dc.relationIsDescribedBy;URL;https://doi.org/10.1371/journal.pone.0239148
dc.rightsCreative Commons Attribution 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectstairde_DE
dc.subjectbiomechanicsde_DE
dc.subjectwalkingde_DE
dc.subjecttransitionsde_DE
dc.subjectascentde_DE
dc.subjectdescentde_DE
dc.subjectgaitde_DE
dc.subjectlocomotionde_DE
dc.subjectanglede_DE
dc.subjectmomentde_DE
dc.subjectpowerde_DE
dc.subjectjointde_DE
dc.subjectcenter of massde_DE
dc.subjectcenter of pressurede_DE
dc.subject.classification407-01 Automatisierungstechnik, Regelungssysteme, Robotik, Mechatronik, Cyber Physical Systemsde_DE
dc.subject.classification407-05 Arbeitswissenschaft, Ergonomie, Mensch-Maschine-Systemede_DE
dc.subject.ddc620
dc.subject.ddc621.3
dc.titleDarmstadt stair ambulation dataset including level walking, stair ascent, stair descent and gait transitions at three stair heightsde_DE
dc.typeDatasetde_DE
dc.typeSoftwarede_DE
dc.description.versionVersion 1.0de_DE
tud.projectDFG | GR4689/3-1 | Robuste phasenbasierde_DE
tud.projectDFG | KO1876/15-1 | Robuste phasenbasierde_DE
tud.unitTUDa


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Creative Commons Attribution 4.0
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