We create computational systems for discovery and translation in Autism Spectrum Disorder.

  • We quantify vocal cues such as prosody, which is often "atypical" in Autism Spectrum Disorders.

  • We develop knowledge-driven methods to represent electrodermal activity (EDA), a psychophysiological signal linked to stress, affect, and cognition.

  • We automatically rate engagement from vocal cues.

  • We analyze the mutual influence between participants (i.e., child and psychologist) through prosodic and affective signals.

  • We analyze dynamics and symmetry of affective facial expressions.





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research supported by NIH, NIMH, NSF and Apple.

CARE | Home People Research Publications

contact: rlahiri@usc.edu