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GREF Dataset: On the benefit of FMG and EMG sensor fusion for gesture recognition using cross-subject validation

dc.contributor.authorRohr, Maurice
dc.contributor.authorHaidamous, Jad
dc.contributor.authorSchäfer, Niklas
dc.contributor.authorSchaumann, Stephan
dc.contributor.authorLatsch, Bastian
dc.contributor.authorKupnik, Mario
dc.contributor.authorHoog Antink, Christoph
dc.date.accessioned2025-04-02T13:57:15Z
dc.date.available2025-04-02T13:57:15Z
dc.date.issued2024
dc.identifier.urihttps://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4528
dc.identifier.urihttps://doi.org/10.48328/tudatalib-1707
dc.descriptionThe Gesture Recognition using EMG and FMG TU Darmstadt (GREFTUD) dataset contains labeled recordings of electromyography (EMG) and forcemyography recordings of 13 healthy subjects, each of whom performed 66 distinct hand movements. The movements were labeled using a high speed camera and the start and end time (in ms) of each movement were noted manually. The dataset was presented in our paper "On the Benefit of FMG and EMG Sensor Fusion for Gesture Recognition Using Cross-Subject Validation". The file "dataset.hdf5" contains the complete dataset, including the manual labels, but no video data. An example on how to use the dataset can be found in "hdf5_example.ipynb".de_DE
dc.language.isoende_DE
dc.relationReferences;DOI;https://doi.org/10.1109/TNSRE.2025.3543649
dc.rightsCreative Commons Attribution 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectElectromyography (EMG)de_DE
dc.subjectFerroelectretsde_DE
dc.subjectForce myography (FMG)de_DE
dc.subjectGesture recognitionde_DE
dc.subjectSensor fusionde_DE
dc.subject.classification4.41-06 Biomedizinische Systemtechnikde_DE
dc.subject.ddc621.3
dc.titleGREF Dataset: On the benefit of FMG and EMG sensor fusion for gesture recognition using cross-subject validationde_DE
dc.typeDatasetde_DE
dc.typeSoftwarede_DE
dc.description.version1.0de_DE
tud.projectDFG | GRK2761 | TP_Kupnik_GRK_2761de_DE
tud.unitTUDa


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Creative Commons Attribution 4.0
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0