20.500.12556/DKUM-66235 Zaznava mišične utrujenosti s pomočjo površinskih elektromiogramov in senzorja microsoft kinect Muscle fatigue detection with surface electromyograms and microsoft kinect sensor V magistrskem delu smo proučevali možnost zaznavanja mišične utrujenosti s pomočjo senzorja Microsoft Kinect. Opisali smo zajem površinskih elektromiogramov (EMG) dvoglave in troglave nadlaktne mišice in kinetičnih meritev zgornjih okončin štirih zdravih merjencev in analizirali skupne karakteristike zajetih signalov. Iz kinetičnih meritev smo izračunali štiri veličine, in sicer pot, hitrost, pospešek in višino izvedene vaje. Časovne spremembe teh veličin smo statistično primerjali s spremembo amplitude signalov EMG, ki je znan pokazatelj mišične utrujenosti. Ugotovili smo, da se utrujenost mišice relativno dobro odraža v višini gibov, ostale kinetične metrike pa so bile za našo raziskavo manj informativne. Na podlagi teh rezultatov ocenjujemo, da je v primeru večkratnih ponovitev gibov zgornjih okončin možno zaznavati mišično utrujenost tudi samo iz kinetičnih meritev. In this thesis, we examined the possibility of detecting muscle fatigue by using a Microsoft Kinect sensor. We simultaneously acquired surface electromyograms (EMG) of biceps brachii and triceps muscles and movements of upper extremity by Kinect sensor in four healthy subjects and analysed the common characteristics of the acquired signals. For each movement repetition, we calculated five different metrics from kinetic measurements, namely number of movement repetitions per time unit, distance, speed, acceleration and the maximal height of the arm. Temporal changes in these variables were statistically compared with the changes in the root mean square amplitude of the EMG signals, which is a well-known indicator of muscle fatigue. We found that muscle fatigue is relatively well reflected in the height of the arm, whereas the other tested kinetic metrics were less indicative for muscle fatigue. Based on these results we conclude that muscle fatigue can be detected from kinetic measurements of repeated upper limb movements. Kinect elektromiogram mišična utrujenost hitrost pot pospeški RMS kinetične meritve vmesniki človek–stroj Kinect electromyogram muscle fatigue speed distance acceleration root mean square kinetic measurement’s human-computer interfaces true true false [L. Rojko] Slovenski jezik Angleški jezik Magistrsko delo/naloga 2017-06-15 16:25:48 2017-07-03 12:54:49 2022-07-10 03:07:03 2021-05-15 03:34:21 2017 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.5:612.744(043.2) 20702742 URN:SI:UM:DK:I6XUSDKZ MAG_Rojko_Lovro_2017.pdf MAG_Rojko_Lovro_2017.pdf 1 8955846720FC29C757B25D8C70B237DE 10cf959e306a883c7356c2d9b4869fd619b34d867bd1d5dc46d06953e04e7e14 40a00760-7c0e-11eb-bb7a-00155d0001ca https://dk.um.si/Dokument.php?lang=slv&id=112622 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0