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A Sensor and Machine Learning-Based Sensory Management Recommendation System for Children with Autism Spectrum Disorders
2022
Sensors
Sensory processing issues are one of the most common issues observed in autism spectrum disorders (ASD). Technologies that could address the issue serve a more and more important role in interventions for ASD individuals nowadays. In this study, a sensory management recommendation system was developed and tested to help ASD children deal with atypical sensory responses in class. The system employed sensor fusion and machine learning techniques to identify distractions, anxious situations, and
doi:10.3390/s22155803
pmid:35957356
pmcid:PMC9371185
fatcat:ormsfjucejc2njz46v3ebd5eqa