<?xml version='1.0' encoding='UTF-8'?><metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns="http://dublincore.org/documents/dcmi-terms/"><dcterms:title>MindRove Armband EMG 2021</dcterms:title><dcterms:identifier>https://hdl.handle.net/21.15109/CONCORDA/OTJWWK</dcterms:identifier><dcterms:creator>Márton, Gergely</dcterms:creator><dcterms:creator>Nikomidisz, Eftimiu</dcterms:creator><dcterms:publisher>ARP</dcterms:publisher><dcterms:issued>2022-06-01</dcterms:issued><dcterms:modified>2022-06-01T10:28:04Z</dcterms:modified><dcterms:description>This 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.</dcterms:description><dcterms:subject>Engineering</dcterms:subject><dcterms:subject>Medicine, Health and Life Sciences</dcterms:subject><dcterms:language>English</dcterms:language><dcterms:date>2022-06-01</dcterms:date><dcterms:contributor>Fiáth, Richárd</dcterms:contributor><dcterms:dateSubmitted>2022-05-31</dcterms:dateSubmitted><dcterms:license>CC0 1.0</dcterms:license></metadata>