From the Journals

Hand Movements Reveal Autism's Kinematic Signature

Machine learning algorithms can distinguish between patients with and without autism by analyzing finger movements during grasping tasks.

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New research using machine learning algorithms and motion-tracking markers on thumb and index fingers during grasping tasks demonstrated the potential for an accessible diagnostic approach to distinguish between autistic and nonautistic individuals. The study achieved high classification accuracy and suggested that motor abnormalities in early childhood could be potential targets for early autism diagnosis.

Original Source(s)

Hand Movements Reveal Autism's Kinematic Signature

Machine learning algorithms can distinguish between patients with and without autism by analyzing finger movements during grasping tasks.

  • by Kerri Miller

  • May 9, 2025

  • 4 min

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