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This paper is in the following e-collection/theme issue:

Computer-Aided Diagnosis (288) Diagnostic Tools in Mental Health (351) Autism Spectrum Disorder (ASD) (156) Machine Learning (2316) New Diagnostic Tools and Instruments for Pediatrics (54)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73440, first published .
Four diverse children sitting on a bench looking at smartphones outdoors.

Deep Learning Approaches for Classifying Children With and Without Autism Spectrum Disorder Using Inertial Measurement Unit Hand Tracking Data: Comparative Study

Deep Learning Approaches for Classifying Children With and Without Autism Spectrum Disorder Using Inertial Measurement Unit Hand Tracking Data: Comparative Study

Authors of this article:

John Mutersbaugh1 Author Orcid Image ;   Wan-Chun Su2 Author Orcid Image ;   Anjana Bhat3, 4 Author Orcid Image ;   Amir Gandjbakhche1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Li H, Li S. Computer‐Assisted Performance‐Based Assessment for Mental Health: A Scoping Review. PsyCh Journal 2026;15(2) View
  2. Su W, Tsuzuki D, Bhat A. Neural and Kinematic Characteristics of Reaching in Autistic Children During Movement Observation, Execution, and Synchronization: An fNIRS Study. Brain Sciences 2026;16(5):540 View