20.500.12556/RUL-139148 Asistenčni sistem za vadbo dvigovanja uteži Weightlifting training assistance system Že odkar sem začel s treniranjem dvigovanja uteži, sem razmišljal o tem, kako bi lahko izboljšal proces učenja, kako bi natančneje meril napredek ter poglobil razumevanje fizikalnih pojavov ob dvigovanju. Večina že obstoječih sistemov za vrednotenje fizikalnih veličin pri dvigovanju, je bilo cenovno neugodnih, sploh za nekoga, ki ne pozna, kako bi vse te zajete podatke uporabil pri treningu. V okviru projekta diplomske naloge, sem razvil zadovoljivo natančen ter prenosljiv asistenčni sistem, za merjenje fizikalnih veličin pri dvigovanju uteži. Asistenčni sistem v glavnem sestavljajo Boschov orientacijski senzor BNO055 in Adafruitov mikrokrmilnik Feather M0 WiFi, ki na začetku nastavi parametre senzorja, potem pa bere senzorski signal in ga preko WiFi modula pošilja na osebni računalnik. Za verifikacijo asistenčnega sistema, smo uporabili referenčni sistem Qualisys za optični zajem gibanja. Vse podatke senzorskega dela in referenčnega sistema smo sprejeli, obdelali, prikazali in posneli. Shranjene signale smo potem obdelali z različnimi orodji, med glavnimi z orodjem MathCAD. V diplomski nalogi sem opisal tudi fizikalne osnove dvigovanja uteži, kar omogoča lažje razumevanje pravilne tehnike dvigovanja. Za nazornejši prikaz koristnosti asistenčnega sistema smo izvedli analizo celotnega dviga s pomočjo videoposnetka. V zadnjem delu aktivnosti smo preizkusili nekaj praktičnih primerov uporabe sistema, ki nam pomagajo pri načrtovanju in izvedbi vsakodnevnih treningov. Ever since I started training in weightlifting, I have been looking for ways to improve my learning process, how to measure the progress more accurately and deepen my understanding of physical phenomena while weightlifting. Most of the existing systems for physical performance evaluation in weightlifting are too expensive, especially for someone who doesn’t know how to use the captured data during training. As part of the project thesis, I developed an adequately accurate and transferable assistance system for measuring physical perfomance in weightlifting. The assistance system consists mainly of Bosch orientation sensor BNO055 and Adafruit microcontroller Feather M0 WiFi, which initially sets the sensors parameters, then continues with reading the sensors signal and sending it to the PC via the WiFi module. We used the reference Qualisys system for optical motion capture to verify the assistance system. The captured data from the developed sensor system and reference system was received, processed, displayed and recorded. The stored signals were then processed using various tools, mainly with the tool MathCAD. In my thesis, I also described the physical basics of weightlifting, which makes it easier to understand the correct lifting technique. For a more ilustrated demonstration of the usefulness of the assistance system, we had performed an analysis of the overall lift with the help of a video recording. During the last activity, we tested some practical examples of the use of the system, which are helping us with planning and performing our daily weightlifting training. Dvigovanje uteži IMU senzorska naprava pospeškometer žiroskop magnetometer LabVIEW Qualisys analiza gibanja Weightlifting IMU sensor device accelerometer gyroscope magnetometer LabVIEW Qualisys motion analysis true false false Slovenski jezik Angleški jezik Diplomsko delo/naloga 2022-08-31 12:35:03 2022-08-31 12:35:21 2022-09-15 04:18:00 0000-00-00 00:00:00 2022 0 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 1970-01-01 61025 119993347 Birk_David_-_Asistencni_sistem_za_vadbo_dvigovanja_utezi.pdf Birk_David_-_Asistencni_sistem_za_vadbo_dvigovanja_utezi.pdf 1 92162F6AC8211AF2B1534B638A06ADA0 69f15d5ddf107d00927db81e3926fea2a4f62608e749d1969d2c8de1161b0d93 96062323-2918-11ed-92af-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=159686 Fakulteta za elektrotehniko 0 0 0