eagle-i Oregon Health & Science UniversityOregon Health & Science University
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Detection of autism in infants

eagle-i ID


Resource Type

  1. Algorithmic software component


  1. Resource Description
    "This software is an automated, objective system for detecting early warning signs of autism in infants. The approach is non-invasive and uses an in-home system comprising low-cost, off-the shelf equipment in the form of microphones, video cameras, and accelerometers. Data generated by the system is transmitted via internet protocol to a central processing facility where innovative algorithms -- which are the core contribution of the proposed study -- extract diagnostic profiles. Unlike other diagnosis and detection methods for autism, which rely on behavioral assessment and subjective clinical judgment along with parent questionnaires, these diagnostic profiles are objective and based on sophisticated computer analysis of voice and movement patterns and hence are expected to be more reliable, accurate, and information-rich."
  2. Used by
    Center for Spoken Language Understanding
  3. Software purpose
    Disease detection/diagnosis objective
  4. Website(s)
  5. Developed by
    van Santen, Jan P.H., Ph.D.
  6. Developed by
    Black, Lois M., Ph.D.
  7. Software license
    Open source software license
Provenance Metadata About This Resource Record
Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016