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Lorenzo Rapetti, Yeshasvi Tirupachuri, Kourosh Darvish, Stefano Dafarra, Gabriele Nava, Claudia Latella and Daniele Pucci
This paper contributes towards the development of motion tracking algorithms for time-critical applications, proposing an infrastructure for dynamically solving the inverse kinematics of highly articulate systems such as humans. The method presented is m...
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Nikolaos Partarakis, Xenophon Zabulis, Antonis Chatziantoniou, Nikolaos Patsiouras and Ilia Adami
A wide spectrum of digital data are becoming available to researchers and industries interested in the recording, documentation, recognition, and reproduction of human activities. In this work, we propose an approach for understanding and articulating hu...
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Alexandros Koilias, Christos Mousas and Christos-Nikolaos Anagnostopoulos
One way of achieving self-agency in virtual environments is by using a motion capture system and retargeting user?s motion to the virtual avatar. In this study, we investigated whether the self-agency is affected when motion artifacts appear on top of th...
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