Lauren Denusik, Danielle Glista, Michelle Servais, Jodi Friesen, Janis Oram, Barbara Jane Cunningham
"We were the best people to do the job": Caregivers' reported outcomes of a virtual caregiver-delivered program for autistic preschoolers
Autism & developmental language impairments
meaningless gross motor imitation gmi common challenge children diagnosed autism spectrum disorder asd topic attracted much attention appropriate test paradigms developed current study proposed wrist rotation imitation wri task meaningless gmi assignment established wri ability evaluation system using lowcost wearable inertial sensors acquired simultaneous data acceleration angular acceleration wri task three metrics ie total rotation time rotation amplitude symmetry extracted data acceleration angular acceleration adopted construct classifiers based five machine learning ml algorithms including knearest neighbors linear discriminant analysis naive bayes support vector machines random forests illustrate technique study recruited 49 asd children aged 3565 years 59 agematched typically developing td children findings showed compared td children asd may exhibit shorter total rotation time lower rotation amplitude weaker symmetry implies children asd might exhibit decreased wri abilities classifier naive bayes algorithm outperformed four algorithms achieved maximal classification accuracy 88 maximal auc value 091 two metrics ie rotation amplitude symmetry high correlations gross fine motor skills evaluated gesell developmental schedulesthird edition psychoeducational profile3 pep3 three metrics significant correlation visualmotor imitation abilities evaluated subdomain pep3 asd symptom severity evaluated childhood autism rating scale cars strengths study associated lowcost measurement system correlation wri metrics clinical measures decreased wri abilities asd high classification accuracy