A Custom EOG-Based HMI Using Neural Network Modeling to Real-Time for the Trajectory Tracking of a Manipulator Robot. - Francisco David Pérez-Reynoso; Paola Andrea Niño-Suárez; Oscar Fernando Avilés-Sánchez; María Bárbara Calva-Yáñez; Eduardo Vega-Alvarado; Edgar Alfredo Portilla-Flores (Frontiers Neurorobotics, 2020)

Human-Machine Interface: Multiclass Classification by Machine Learning on 1D EOG Signals for the Control of an Omnidirectional Robot. - Francisco David Pérez-Reynoso; Liliam Rodríguez-Guerrero; Julio César Salgado Ramírez; Rocío Ortega-Palacios (Sensors, 2021)

Pattern Recognition of EMG Signals by Machine Learning for the Control of a Manipulator Robot. - Francisco David Pérez-Reynoso; Neín Farrera Vázquez; César Capetillo; Nestor Méndez-Lozano; Carlos González-Gutiérrez; Emmanuel López-Neri (Sensors, 2022)

EOG Signal Classification with Wavelet and Supervised Learning Algorithms KNN, SVM and DT. - Sandy Nohemy Hernández Pérez; Francisco David Pérez-Reynoso; Carlos González-Gutiérrez; María De los Ángeles Cosío León; Rocío Ortega-Palacios (Sensors, 2023)

Detection of the centroid of femoral condyles with computer vision and artificial intelligence: Master's Thesis Summary. - Luis José Gómez-Pérez; Rocío Ortega-Palacios; Francisco David Pérez-Reynoso; José Noe Salazar López; Daniel Robles-Camarillo; Eric Simancas-Acevedo (Int. J. Comb. Optim. Probl. Informatics, 2025)