Proceedings of 41st Danubia-Adria Symposium Advances in Experimental Mechanics (pp. 35-36)
AUTOR(I) / AUTHOR(S): Zsombor Magyari 
, Roland Reginald Zana , Denes Takacs
DOI: 10.46793/41DAS2025.035M
UVOD / INTRODUCTION:
In recent years, electric micromobility vehicles (e.g., electric scooters, unicycles, skateboards, onewheels, and segways) have gained significant popularity. From both traffic and environmental perspectives, micromobility vehicles have benefits, but controlling these vehicles poses a much more significant challenge for users. As a result, an increased number of road accidents involving personal injuries is realized world-wide. Therefore, exploring the dynamics of the vehicle-human system is essential for making micromobility vehicles safer. In our research, we aim to gather information about the motion of an electric scooter. Due to the small size of the vehicle, the rider’s movement significantly influences the motion of the vehicle. Therefore, it is essential to acquire data on how the riders move on the vehicle. In this study, we also examine how accurately a neural networkbased algorithm can determine the position of the rider’s center of mass based on camera footage.
KLJUČNE REČI / KEYWORDS:
PROJEKAT / ACKNOWLEDGEMENT:
The research was supported by the Bolyai János Research Scholarship of the Hungarian Academy of Sciences, the project NKFI-146201 awarded by the National Research, Development and Innovation Office, the University Research Scholarship Programme (EKÖP), the Ministry of Culture and Innovation, and the National Research, Development and Innovation Fund.
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