A Custom EOG-Based HMI Using Neural Network Modeling to Real-Time for the Trajectory Tracking of a Manipulator Robot

A Custom EOG-Based HMI Using Neural Network Modeling to Real-Time for the Trajectory Tracking of a Manipulator Robot

Although different physiological signals, such as electrooculography (EOG) have been widely used in the control of assistance systems for people with disabilities, customizing the signal classification system remains a challenge. In most interfaces, the user must adapt to the classification paramete...

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Bibliographic Details
Main Authors: Francisco D. Perez Reynoso, Paola A. Niño Suarez, Oscar F. Aviles Sanchez, María B. Calva Yañez, Eduardo Vega Alvarado, Edgar A. Portilla Flores
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Neurorobotics
Subjects:
EOG
HMI
customization calibration
MNN
optimization
robots trajectories
Online Access:https://www.frontiersin.org/article/10.3389/fnbot.2020.578834/full

Internet

https://www.frontiersin.org/article/10.3389/fnbot.2020.578834/full

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