A Sensor and Machine Learning-Based Sensory Management Recommendation System for Children with Autism Spectrum Disorders.

ABSTRACT: 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 the potential causes of these in the surroundings. Another novelty of the system included a sensory management strategy making a module based on fuzzy logic, which generated alerts to inform teachers and caregivers about children's states and risky environmental factors. Sensory management strategies

SUBMITTER: Deng L 

PROVIDER: S-EPMC9371185 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature