Software para el monitoreo terapéutico de niños con déficit de atención en el entorno escolar

Abstract

Attention Deficit Hyperactivity Disorder (ADHD) in school-age children represents a challenge for learning, as it affects sustained attention, memory, and task organization. This project presents the design of a robotic system with a posture-based memory game aimed at stimulating cognitive functions in a controlled school environment. The proposal integrates a humanoid robot, software developed in ROS 2, and a mobile application that allows therapists to monitor each child’s individual progress. The system was implemented with a modular architecture that included nodes for posture validation through computer vision, emotion detection using a machine learning model, movement control, and personalized data recording. During testing, the robot successfully displayed and validated posture sequences, delivered motivational messages, and recorded both response times and the children’s predominant emotions. The results confirmed that the game, the mobile application, and the control module worked correctly, enabling the evaluation of additional processes such as laterality, instruction following, and executive functions. It is concluded that the system is viable and can be expanded with more games to address different cognitive processes in future developments, thereby strengthening therapeutic interventions. Keywords: cognitive processes, mobile application, computer vision, executive functions, human-robot interaction