spatio-temporal-embedding

GEESE is an end-to-end deep learning framework that learns behavioral representations directly from 3D pose dynamics without hand-crafted features, surpassing traditional baselines in behavior classification and genotype prediction across three autism-associated genetic models. It also introduces HONK, an interactive tool for natural language-based behavioral phenotyping.