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Vision-Based Classification of Developmental Disorders Using Eye-Movements

  • Guido PusiolEmail author
  • Andre Esteva
  • Scott S. Hall
  • Michael Frank
  • Arnold Milstein
  • Li Fei-Fei
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9901)

Abstract

This paper proposes a system for fine-grained classification of developmental disorders via measurements of individuals’ eye-movements using multi-modal visual data. While the system is engineered to solve a psychiatric problem, we believe the underlying principles and general methodology will be of interest not only to psychiatrists but to researchers and engineers in medical machine vision. The idea is to build features from different visual sources that capture information not contained in either modality. Using an eye-tracker and a camera in a setup involving two individuals speaking, we build temporal attention features that describe the semantic location that one person is focused on relative to the other person’s face. In our clinical context, these temporal attention features describe a patient’s gaze on finely discretized regions of an interviewing clinician’s face, and are used to classify their particular developmental disorder.

Keywords

Autism Spectrum Disorder Autism Spectrum Disorder Developmental Disorder Recurrent Neural Network Convolutional Neural Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Guido Pusiol
    • 1
    Email author
  • Andre Esteva
    • 2
  • Scott S. Hall
    • 3
  • Michael Frank
    • 4
  • Arnold Milstein
    • 5
  • Li Fei-Fei
    • 1
  1. 1.Department of Computer ScienceStanford UniversityStanfordUSA
  2. 2.Department of Electrical EngineeringStanford UniversityStanfordUSA
  3. 3.Department of PsychiatryStanford UniversityStanfordUSA
  4. 4.Department of PsychologyStanford UniversityStanfordUSA
  5. 5.Department of MedicineStanford UniversityStanfordUSA

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