A Predictive Multimodal Framework to Alert Caregivers of Problem Behaviors for Children with ASD (PreMAC)

A Predictive Multimodal Framework to Alert Caregivers of Problem Behaviors for Children with ASD (PreMAC)

Autism Spectrum Disorder (ASD) impacts 1 in 54 children in the US. Two-thirds of children with ASD display problem behavior. If a caregiver can predict that a child is likely to engage in problem behavior, they may be able to take action to minimize that risk. Although experts in Applied Behavior An...

Full description

Bibliographic Details
Main Authors: Zhaobo K. Zheng, John E. Staubitz, Amy S. Weitlauf, Johanna Staubitz, Marney Pollack, Lauren Shibley, Michelle Hopton, William Martin, Amy Swanson, Pablo Juárez, Zachary E. Warren, Nilanjan Sarkar
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sensors
Subjects:
problem behaviors
wearable sensor
machine learning
affective computing
ASD
functional analysis
Online Access:https://www.mdpi.com/1424-8220/21/2/370

Similar Items

Similar Items