Patent for Automated Posture Detection Systems for Early Childhood Diagnosis
ECE Professor Sarah Ostadabbas has received a patent for “Infant 2D pose estimation and posture detection system.”
Abstract Source: USPTO
Methods are provided for estimating a pose of an infant using image analysis and artificial intelligence. A classifier is trained using a dataset containing hybrid synthetic and real infant pose data. Multi-stage invariant representation machine learning strategies are employed that transfer knowledge from adjacent domains of adult poses and synthetic infant images into a fine-tuned domain-adapted infant pose estimation model.
