Infant nutrition and machine-based learning: Preliminary findings from Danone reveal colic promise
Article Summary:
LENA partnered with Danone Nutricia Research to develop an expanded LENA capability to automatically detect and categorize crying and fussing in infants. The new algorithm distinguished periods of crying from fussing with 91% overall accuracy. Danone researchers will use the technology to create new infant nutrition products, specifically working on products to combat colic, which is often indicated by infant crying and fussing.
