Science Robotics

Supplementary Materials

Supplementary Material for:

Personalized machine learning for robot perception of affect and engagement in autism therapy

Ognjen Rudovic*, Jaeryoung Lee, Miles Dai, Björn Schuller, Rosalind W. Picard

*Corresponding author. Email: orudovic{at}mit.edu

Published 27 June 2018, Sci. Robot. 3, eaao6760 (2018)
DOI: 10.1126/scirobotics.aao6760

This PDF file includes:

  • Note S1. Details on model training and alternative approaches.
  • Note S2. Data set.
  • Note S3. Feature processing.
  • Note S4. Data coding.
  • Fig. S1. Empirical cumulative distribution function of ICC and MSE.
  • Fig. S2. The learning of the networks.
  • Fig. S3. PPA-net: The performance of the visual (face and body), audio, and physiology features.
  • Table S1. Comparisons with alternative approaches.
  • Table S2. Summary of the child participants.
  • Table S3. Summary of the features.
  • Table S4. The coding criteria.
  • References (5356)

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