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.
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