21.15109/CONCORDA/OTJWWKMárton, GergelyGergelyMártonELKH Természettudományi KutatóközpontNikomidisz, EftimiuEftimiuNikomidiszARP2022EngineeringMedicine, Health and Life SciencesElectrophysiologyFiáth, RichárdRichárdFiáthELKH Természettudományi Kutatóközpont2022-05-312022-06-014879547100737422149582588538095997737472282691801498467193586475567387864text/tab-separated-valuestext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-valuestext/tab-separated-values1.0CC0 1.0This dataset was recorded from 6 able-bodied, right-handed subjects using a MindRove Armband 8 channel sEMG device. The recordings contain 7 different gestures and include both EMG data and finger joint angles estimated using depth cameras.