Gesture Recognition System Application to early childhood education 

  1. AlZubi,, Tareq Mahmod Ahmed
unter der Leitung von:
  1. Julian C. Flores González Doktorvater
  2. José Manuel Cotos Yáñez Doktorvater

Universität der Verteidigung: Universidade de Santiago de Compostela

Jahr der Verteidigung: 2019

Gericht:
  1. Francisco José Perales López Präsident/in
  2. Juan-Carlos Brenlla-Blanco Sekretär/in
  3. Juan Carlos Torres Cantero Vocal
Fachbereiche:
  1. Departamento de Electrónica e Computación

Art: Dissertation

Teseo: 586573 DIALNET lock_openMINERVA editor

Zusammenfassung

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.