Ilaria Mannocchi

@article{Carnevale_Sensors_2022,

title = {Virtual Reality for Shoulder Rehabilitation: Accuracy Evaluation of Oculus Quest 2},

author = {Arianna Carnevale and Ilaria Mannocchi and Mohamed Saifeddine Hadj Sassi and Marco Carli and Giovanna De Luca and Umile Giuseppe Longo and Vincenzo Denaro and Emiliano Schena},

url = {https://www.mdpi.com/1424-8220/22/15/5511},

doi = {10.3390/s22155511},

issn = {1424-8220},

year  = {2022},

date = {2022-01-01},

journal = {Sensors},

volume = {22},

number = {15},

abstract = {Virtual reality (VR) systems are becoming increasingly attractive as joint kinematics monitoring systems during rehabilitation. This study aimed to evaluate the accuracy of the Oculus Quest 2 in measuring translational and rotational displacements. As the Oculus Quest 2 was chosen for future applications in shoulder rehabilitation, the translation range (minimum: ~200 mm, maximum: ~700 mm) corresponded to the forearm length of the 5th percentile female and the upper limb length of the 95th percentile male. The controller was moved on two structures designed to allow different translational displacements and rotations in the range 0-180°, to cover the range of motion of the upper limb. The controller measures were compared with those of a Qualisys optical capture system. The results showed a mean absolute error of 13.52 ± 6.57 mm at a distance of 500 mm from the head-mounted display along the x-direction. The maximum mean absolute error for rotational displacements was found to be 1.11 ± 0.37° for a rotation of 40° around the z-axis. Oculus Quest 2 is a promising VR tool for monitoring shoulder kinematics during rehabilitation. The inside-out movement tracking makes Oculus Quest 2 a viable alternative to traditional motion analysis systems.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}