A naukri.com initiative
Immersivelearning
1M
148
AI and VR System Detects Autism in Kids with Over 85% Accuracy
- A virtual reality and AI-based system can detect autism in young children with over 85% accuracy, surpassing traditional methods.
- The system observes children's motor movements and gaze patterns in immersive virtual environments for more naturalistic responses.
- It uses deep learning to identify behavioral biomarkers linked to ASD, enabling efficient and affordable diagnosis.
- The system's approach could enhance early autism detection accessibility and pave the way for studying other motor symptoms in ASD.
- Researchers at the Human-Tech Institute-Universitat Politècnica de València developed this innovative detection system.
- The system projects a child's image in simulated environments to analyze movements and behaviors for accurate diagnosis.
- A newly developed AI model in the system outperforms traditional AI techniques, improving precision in ASD detection.
- The Human-Tech Institute team's eight years of collaboration has focused on improving early ASD detection through virtual reality.
- The system shows promise in the analysis of motor activity as a biomarker for autism detection.
- Future adaptations of the AI model could extend to analyzing ASD patients' movements in various tasks.
Read Full Article
8 Likes
For uninterrupted reading, download the app