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Gesture Recognition System Application to early childhood education 

  • Autores: Tareq Mahmod Ahmed AlZubi
  • Directores de la Tesis: Julian C. Flores González (dir. tes.) Árbol académico, José Manuel Cotos Yáñez (dir. tes.) Árbol académico
  • Lectura: En la Universidade de Santiago de Compostela ( España ) en 2019
  • Idioma: inglés
  • Tribunal Calificador de la Tesis: Francisco José Perales López (presid.) Árbol académico, Juan-Carlos Brenlla-Blanco (secret.) Árbol académico, Juan Carlos Torres Cantero (voc.) Árbol académico
  • Enlaces
    • Tesis en acceso abierto en: MINERVA
  • Resumen
    • One of the most socially and culturally advantageous uses of human-computer interaction is enhancing playing and learning for children. In this study, gesture interactive game-based learning (GIGL) is tested to see if these kinds of applications are suitable to stimulate working memory (WM) and basic mathematical skills (BMS) in early childhood (5-6 years old) using a hand gesture recognition system. Hand gesture is being performed by the user and to control a computer system by that incoming information. We can conclude that the children who used GIGL technology showed a significant increase in their learning performance in WM and BMS, surpassing those who did normal school activities.


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