Quantifying Perceptual Uncertainty through Non-Invasive Kinematic Tracking: A Convolutional Neural Network-Based Approach for Identifying Candidate Kinematic Markers.
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| Title: | Quantifying Perceptual Uncertainty through Non-Invasive Kinematic Tracking: A Convolutional Neural Network-Based Approach for Identifying Candidate Kinematic Markers. |
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| Authors: | López Moreno, Alberto Nicolás1 an.lopezmoreno@ugto.mx, Gomez, Geovanni Hernández1 geov.hernandez@ugto.mx, López-Villagómez, José Manuel1 jmlopez@ugto.mx, López-Hernández, Juan Manuel1 jm.lopezvillagomez@ugto.mx |
| Source: | International Journal of Combinatorial Optimization Problems & Informatics. 2026, Vol. 17 Issue 5, p138-152. 15p. |
| Database: | Academic Search Ultimate |
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