Predicting behavioral escalation in students with autism using physiological and movement data
IntroductionBehavioral escalation in students with Autism Spectrum Disorder (ASD) presents significant challenges in educational and community settings, often leading to reactive interventions after behaviors become observable. This study investigated whether physiological and movement data obtained from wearable biometric sensors could retrospectively identify precursors of escalation and inform…
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