TY  - JOUR
AU  - Povedano Montero, Francisco Javier
AU  - Bernárdez Vilaboa, Ricardo
AU  - Trillo, José Ramón
AU  - González Jiménez, Rut
AU  - Otero Currás, Carla
AU  - Martínez Florentín, Gema
AU  - Cedrún Sánchez, Juan Enrique
PY  - 2025
DO  - 10.3390/photonics12121167
SN  - 2304-6732
UR  - https://hdl.handle.net/20.500.14352/128777
T2  - Photonics
AB  - Background: Eye-tracking technology enables the objective quantification of oculomotor behavior, providing key insights into visuocognitive performance. This study presents a comparative analysis of visual attention patterns between rhythmic gymnasts...
LA  - eng
M2  - 1
PB  - MDPI
KW  - Eye-tracking
KW  - Machine learning
KW  - Oculomotor function
KW  - Rhythmic gymnastics
KW  - Visual attention
TI  - Integrating Eye-Tracking and Artificial Intelligence for Quantitative Assessment of Visuocognitive Performance in Sports and Education
TY  - journal article
VL  - 12
ER  -