Using deep learning applied in computer vision for the inclusion of individuals with tetraplegia through assistive robotics via facial features
Fernando Rodrigues Trindade Ferreira, Loena Marins do Couto, Camila Martins Saporetti
Topics & Concepts
Artificial intelligenceComputer scienceInterpretabilityComputer visionOrientation (vector space)Feature (linguistics)PopulationDeep learningFacial recognition systemRotation (mathematics)Human–computer interactionFocus (optics)Machine visionLandmarkFeature extractionFeature selectionAssistive technologyMachine learningFace (sociological concept)RoboticsRandom forestWheelchairPoseTrigramAngular displacementConfusion matrixPersonalizationPattern recognition (psychology)Convolutional neural networkTransformation (genetics)TetraplegiaGaze Tracking and Assistive TechnologyHand Gesture Recognition SystemsEEG and Brain-Computer Interfaces