20.500.12556/DKUM-61511 Analiza zaznavanja aktivnosti prstov z zapestnico Myo Analysis of finger activity detection with Myo armband V diplomskem delu analiziramo zaznavanje aktivnosti prstov z zapestnico Myo, s katero na področju podlahti z osmimi senzorji merimo površinske elektromiograme (EMG). Z meritvami dokažemo, da najlažje razpoznavamo posamične dvige iztegnjenih prstov, kjer dosežemo tudi do 95-odstotno natančnost. Pri gibih dveh prstov hkrati se natančnost zmanjša na 50 %. Aktivnosti palca na področju podlahti ne zaznavamo. Na kakovost razpoznave gibov prstov vplivajo omejenost gibljivosti prstov, prevodnost med kožo in senzorji EMG ter sama namestitev zapestnice Myo. Uporabnost zapestnice Myo za razpoznavo gibov prstov prikažemo z aplikacijo, ki omogoča igranje virtualnega klavirja. We analyse the feasibility of finger activity detection by the Myo armband. The latter is placed on the forearm of the healthy male subject and measures eight surface electromyogram (EMG) channels from different finger extensors and flexors, except the thumb. We systematically analyse different finger movements. Our algorithm detects the extensions of fingers with accuracy of 95 %, whereas detection of other finger movements proves to be less accurate. Movements of two fingers decrease the accuracy of movement detection to 50 %. Quality of finger detection depends on the flexibility of subject’s fingers, electrical resistance between the skin and the EMG sensors and placement of the Myo armband. We demonstrate the usage of finger activity detection with a virtual piano application. zapestnica Myo razpoznava gibov prstov površinski elektromiogrami virtualni klavir Myo armband finger movement detection surface electromyograms virtual piano true true false N. Galof Slovenski jezik Angleški jezik Diplomsko delo/naloga 2016-08-09 16:01:43 2016-09-06 13:00:53 2022-06-26 03:07:02 2019-07-11 12:23:39 2016 0 [Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.81:[602.1:681.5(043.2) 19884054 URN:SI:UM:DK:CHUWHOA7 UN_Galof_Nejc_2016.pdf UN_Galof_Nejc_2016.pdf 1 4633E75673334902ABF98B2F15C91B18 8aa3279c3739750c3481e799a2b4e864b22040ec36145220c38320f2f75be60d 01e4ffd5-7c0d-11eb-bb7a-00155d0001ca https://dk.um.si/Dokument.php?lang=slv&id=98434 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0