Carla Agurto, Stephen Heisig, et al.
PLoS ONE
We conducted a feasibility analysis to determine the quality of data that could be collected ambiently during routine clinical conversations. We used inexpensive, consumer-grade hardware to record unstructured dialogue and open-source software tools to quantify and model face, voice (acoustic and language) and movement features. We used an external validation set to perform proof-of-concept predictive analyses and show that clinically relevant measures can be produced without a restrictive protocol.
Carla Agurto, Stephen Heisig, et al.
PLoS ONE
Emma R. Stanislawski, Zarina R. Bilgrami, et al.
npj Schizophrenia
Carla Agurto, Raquel Norel, et al.
ICASSP 2019
Gong Su, Stephen Heisig
Int. J. Parallel Program