Department of Industrial, Electronic and Mechanical Engineering, Roma Tre University
Via Vito Volterra 62, 00146, Rome, Italy
erica.rocchi@uniroma3.it
Researchgate profile
Biography
Erica Rocchi received her Bachelor degree in Electronics Engineering from Roma Tre University in 2018, with a thesis about database augmentation techniques for omnidirectional image saliency estimation based on Deep Learning, and Master degree in Information and Communication Technology Engineering from Roma Tre University in 2021, with a thesis about analysis of the visibility of processing artifacts in Point Cloud. She worked as a Telco Network Engineer from 2021 to 2023 at Engineering Informatica SPA. She is now a Ph.D. student (XXXIX cycle) in Applied Electronics at Roma Tre University at the Department of Industrial, Electronic and Mechanical Engineering.
Research
Her main research interests are in the area of Quality of Experience assessment for immersive technologies and multimedia processing.
Projects
Current Projects
Past Projects
Publications
Journal Publications
2026
Fabrizio, Alessia; Rocchi, Erica; Carnevale, Arianna; Ferrarotti, Anna; Papalia, Rocco; Schena, Emiliano; Longo, Umile Giuseppe; Carli, Marco
Performance Evaluation of Meta Quest 3 and Meta Quest Pro in Static and Dynamic Conditions for Shoulder Rehabilitation in Virtual Reality Journal Article
In: IEEE Access, 2026.
@article{Fabrizio_A_2026,
title = {Performance Evaluation of Meta Quest 3 and Meta Quest Pro in Static and Dynamic Conditions for Shoulder Rehabilitation in Virtual Reality},
author = {Alessia Fabrizio and Erica Rocchi and Arianna Carnevale and Anna Ferrarotti and Rocco Papalia and Emiliano Schena and Umile Giuseppe Longo and Marco Carli
},
doi = {10.1109/ACCESS.2026.3679266},
year = {2026},
date = {2026-03-30},
journal = {IEEE Access},
abstract = {Virtual Reality is gaining increasing relevance as a system to monitor joint kinematics during rehabilitation and as a tool to improve patient adherence to rehabilitation protocols. This study aims to evaluate the performance of Meta Quest 3 and Meta Quest Pro by comparing their tracking accuracy against the Qualisys™ stereophotogrammetric reference system in static and dynamic conditions. In static conditions, translational and rotational accuracy were assessed using two custom-made setups: one assessing displacements along three axes (from 0 to 505 mm) and another covering rotations from 0° to 180°. Dynamic performance was evaluated through three clinically relevant upper-limb movements (flexion, external rotation, and abduction) executed by NAO humanoid robot at three different durations (S1 = 1s, S2 = 2s, S4 = 4s) to simulate varying patient conditions. Results showed a maximum translational mean absolute error of 4.7 ± 2.8 mm at 505 mm along the X-axis and a maximum rotational error of 2.8 ± 1.2° at 90° around the Y-axis for Meta Quest 3. In dynamic conditions, the highest mean absolute percentage error was 17.0 ± 2.9% for Meta Quest 3 during abduction at S4. Overall, the Meta Quest 3 and Meta Quest Pro, featuring inside-out tracking technology, demonstrate promising accuracy, supporting their potential use as reliable tools for Virtual Reality-based motor rehabilitation.},
keywords = {},
pubstate = {published},
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2025
Rocchi, Erica; Ferrarotti, Anna; Carli, Marco
A comparison of the Meta Quest Pro and HTC Vive Focus 3 eye-tracking systems: analysis of data accuracy and spatial precision Journal Article
In: IEEE Access, 2025, ISSN: 2169-3536.
@article{Rocchi_A_2025,
title = {A comparison of the Meta Quest Pro and HTC Vive Focus 3 eye-tracking systems: analysis of data accuracy and spatial precision},
author = {Erica Rocchi and Anna Ferrarotti and Marco Carli},
doi = {10.1109/ACCESS.2025.3562672},
issn = {2169-3536},
year = {2025},
date = {2025-04-22},
urldate = {2025-04-22},
journal = {IEEE Access},
abstract = {Virtual Reality’s rise has highlighted eye gaze as a key interaction method. Data reliability becomes critical in this context, with gaze accuracy and precision serving as leading indicators of data quality. This study compared the spatial accuracy and precision of Meta Quest Pro and HTC Vive Focus 3 headsets using eye movement data collected from 30 users under head-free and head-constrained conditions. The targets were placed at different depths from the users. The analysis revealed inconsistencies between manufacturer-provided data, obtained under ideal conditions, and data collected in different settings. Moreover, the results showed greater spatial accuracy for Meta Quest Pro, and higher spatial precision for HTC Vive Focus 3. The aim of this study is to offer an extensive examination of the performance of these systems, thus assisting researchers in choosing suitable eye-tracking technology for diverse applications.},
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pubstate = {published},
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Conference Publications
2025
Ferrarotti, Anna; Brizzi, Michele; Rocchi, Erica; Fabrizio, Alessia; Carnevale, Arianna; Longo, Umile Giuseppe
5GVIREH: a 5G-enabled Virtual Reality based solution for telerehabilitation Proceedings Article
In: Proceedings of the 17th International Conference on Quality of Multimedia Experience (QoMEX), IEEE, 2025.
@inproceedings{Ferrarotti_QOMEX_2025,
title = {5GVIREH: a 5G-enabled Virtual Reality based solution for telerehabilitation},
author = {Anna Ferrarotti and Michele Brizzi and Erica Rocchi and Alessia Fabrizio and Arianna Carnevale and Umile Giuseppe Longo},
doi = {10.1109/QoMEX65720.2025.11219930},
year = {2025},
date = {2025-11-03},
urldate = {2025-11-03},
booktitle = {Proceedings of the 17th International Conference on Quality of Multimedia Experience (QoMEX)},
publisher = {IEEE},
abstract = {Integrating 5G technology with Virtual Reality creates an advanced human-machine interface applicable to various fields. With its high-speed, stable connection, 5G enables seamless real-time user communication. Virtual Reality enhances personalized interaction and allows continuous monitoring without complex additional equipment. This study presents a use case where a clinician, connected through a PC, interacts with a patient using a Virtual Reality headset during physiotherapy sessions. The goal is to showcase the potential of 5G and Virtual Reality in enhancing telerehabilitation. While initial tests focused on patients recovering from rotator cuff surgery, the system can be easily adapted to support a wide range of treatment and rehabilitation protocols.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Rocchi, Erica; Zini, Daniela; Lamonaca, Melissa; Carli, Marco
Proxemic Behavior in a Multi-User Virtual Reality Experience for Multilingual Cultural Heritage Education Proceedings Article
In: Proceedings of 2025 14th International Symposium on Image and Signal Processing and Analysis (ISPA), IEEE, 2025.
@inproceedings{Rocchi_ISPA_2025,
title = {Proxemic Behavior in a Multi-User Virtual Reality Experience for Multilingual Cultural Heritage Education},
author = {Erica Rocchi and Daniela Zini and Melissa Lamonaca and Marco Carli},
year = {2025},
date = {2025-10-29},
urldate = {2025-10-29},
booktitle = {Proceedings of 2025 14th International Symposium on Image and Signal Processing and Analysis (ISPA)},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}