Computer vision to automatically assess infant neuromotor risk
C. Chambers, N. Seethapathi, R. Saluja, H. Loeb, S. Pierce, D. Bogen, L. Prosser, M. J. Johnson, K. P. Kording
This paper develops a computer vision method to assess infant neuromotor risk using video recordings and Bayesian Surprise calculations, showing that at-risk infants deviate more from healthy controls.
bioRxiv · Sep 10, 2019Animal Behavior & Cognition