Fitted avatars: automatic skeleton adjustment for self-avatars in virtual reality
Jose Luis Ponton, V\'ictor Ceballos, Lesly Acosta, Alejandro R\'ios,, Eva Moncl\'us, Nuria Pelechano

TL;DR
This paper introduces an automatic, quick, and affordable method for adjusting virtual avatars in VR to match user dimensions accurately, enhancing embodiment and communication without manual measurements.
Contribution
It presents a novel automatic skeleton adjustment technique using minimal exercises and standard VR equipment, eliminating manual measurement processes.
Findings
Reduces avatar-user misalignment compared to uniform scaling methods.
Improves avatar accuracy without manual measurements.
Enhances user embodiment and gesture communication in VR.
Abstract
In the era of the metaverse, self-avatars are gaining popularity, as they can enhance presence and provide embodiment when a user is immersed in Virtual Reality. They are also very important in collaborative Virtual Reality to improve communication through gestures. Whether we are using a complex motion capture solution or a few trackers with inverse kinematics (IK), it is essential to have a good match in size between the avatar and the user, as otherwise mismatches in self-avatar posture could be noticeable for the user. To achieve such a correct match in dimensions, a manual process is often required, with the need for a second person to take measurements of body limbs and introduce them into the system. This process can be time-consuming, and prone to errors. In this paper, we propose an automatic measuring method that simply requires the user to do a small set of exercises while…
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