Enhancing Emotional and Social Skills in Children with ASD through a YOLO- Driven Gamified Music Therapy Approach

Abstract

Children with Autism Spectrum Disorder (ASD) frequently war with emotional recognition, self-regulation, and social interactions, impacting their common improvement. This observe proposes a progressive play-based mental fitness intervention that integrates gamification, real-time face emotion reputation the usage of the YOLO (You Only Look Once) algorithm, and customized auditory comments to enhance emotional intelligence in youngsters with ASD. YOLO appropriately detects and classifies facial expressions inclusive of happiness, unhappiness, anger, and marvel in real time. Upon detecting an emotion, the machine dynamically selects and plays suitable audio songs to alter mood, enhance high-quality behaviors, and encourage emotional expression. Gamified obligations with rewards and innovative trouble stages are integrated to preserve engagement and motivation, ensuring consistent participation. The machine adapts to each baby’s character wishes, dynamically adjusting task complexity, remarks, and audio picks based totally on the kid’s progress. Through this customized technique, the system creates an enticing learning environment that promotes emotional reputation, self-regulation, and social interplay. Additionally, unique progress monitoring gives caregivers and therapists with treasured insights for customized intervention making plans, optimizing therapeutic results. The intervention’s multisensory method, combining gamification and auditory feedback, reinforces emotional learning in a supportive, dynamic surroundings. This AI-powered machine addresses the emotional and social demanding situations confronted by way of children with ASD via mixing modern technology with evidence-primarily based healing strategies, supplying a scalable and adaptable answer for improving emotional well-being.