Gesture Recognition System Application to early childhood education 

• Autores: Tareq Mahmod Ahmed AlZubi
• Directores de la Tesis: Julian C. Flores González (dir. tes.) , José Manuel Cotos Yáñez (dir. tes.)
• Lectura: En la Universidade de Santiago de Compostela ( España ) en 2019
• Idioma: inglés
• Tribunal Calificador de la Tesis: Francisco José Perales López (presid.) , Juan-Carlos Brenlla-Blanco (secret.) , Juan Carlos Torres Cantero (voc.)
• Programa de doctorado: Programa de Doctorado en Investigación en Tecnologías de la Información por la Universidad de A Coruña y la Universidad de Santiago de Compostela
• Calificación: Sobresaliente
• 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.