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Facial Gesture Detection for Individuals with Reduced Hand Mobility Using Graph Neural Networks

  • Universidad Peruana de Ciencias Aplicadas

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This paper addresses the limited digital accessibility faced by individuals with reduced hand mobility and explores how to overcome it. An efficient facial gesture recognition model is proposed, designed to operate based on facial landmarks (Facial Mesh) extracted using Mediapipe’s Face Mesh technology. The model incorporates a graph neural network (GNN) with a lightweight architecture and low computational complexity to detect facial gestures on the user’s face, enabling smooth execution on low-performance computers without significantly compromising user experience. The work presented may be of interest to researchers focused on digital accessibility for individuals with motor impairments in their hands.

Idioma originalInglés
Título de la publicación alojadaComputer-Human Interaction Research and Applications - 9th International Conference, CHIRA 2025, Proceedings
EditoresJosef F. Krems, Hugo Plácido da Silva, Pietro Cipresso
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas129-148
Número de páginas20
ISBN (versión impresa)9783032164506
DOI
EstadoPublicada - 2026
Evento9th International Conference on Computer-Human Interaction Research and Applications, CHIRA 2025 - Marbella, Espana
Duración: 20 oct. 202521 oct. 2025

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen2835 CCIS
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937

Conferencia

Conferencia9th International Conference on Computer-Human Interaction Research and Applications, CHIRA 2025
País/TerritorioEspana
CiudadMarbella
Período20/10/2521/10/25

Huella

Profundice en los temas de investigación de 'Facial Gesture Detection for Individuals with Reduced Hand Mobility Using Graph Neural Networks'. En conjunto forman una huella única.

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