Virtual Reality
Virtual reality opens new possibilities of research, also connected to the utilization of the inertial sensors inside the headset in order to detect, without using other wearables, cardiac and respiratory parameters. Current research is directed towards developing VR scenarios that could be utilized both in rehabilitation and prevention by exploiting real-time headset-embedded sensors in order to provide an immediate feedback to the user, to create an engagement and active experience capable to help reaching the proposed goals.
Current research projects and collaborations
BMS Lab, University of Twente (NL)
Softcare Slr
Relevant publications
Tauro E, Feliziani L, Manzo N, Van ‘t Klooster J-W, Caiani EG. A Survey-based Evaluation of Interactive Virtual Reality Scenarios to Assess Emotions. Proc. IHCE 2024
Solbiati S, Charkas S, Mozzini F, Lo Mauro A, Bernasconi S, Angelucci A, Aliverti A, Caiani EG. Comparison of ECG-Free Algorithms for Heart Rate Computation From Head-BCG Signals Obtained With Smart Eyewear. Proc. IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering – IEEE MetroXRAINE 2024:213-218
Solbiati S, Buffoli A, Megale V, Damato G, Lenzi B, Langfelder G, Caiani EG. Monitoring cardiac activity by detecting subtle head movements using MEMS technology, Proc. IEEE INERTIAL 2022:1-4
Solbiati S, Buffoli A, Megale V, Damato G, Lenzi B, Langfelder G, Caiani EG. Detecting heart rate from virtual reality headset-embedded inertial sensors: a kinetic energy approach. Proc. International Conference on e-Health and Bioengineering (EHB), 2021, pp. 1-4
Floris C, Solbiati S, Landreani F, Damato G, Lenzi B, Megale V, Caiani EG. Feasibility of heart rate and respiratory rate estimation by inertial sensors embedded in a virtual reality headset. Sensors 2020, 20, 7168