Prior work in this area has typically only looked at still images.
Predictive power requires the network to look into the minutiae of human movement: the pace of a human’s gait (periodicity), the mirror symmetry of limbs, and the way in which foot placement affects stability during walking.
One researcher said “If a pedestrian is playing with their phone, you know they’re distracted” “Their pose and where they’re looking is telling you a lot about their level of attentiveness. It’s also telling you a lot about what they’re capable of doing next.”
We wonder if that will have a random generation movement factor for children or drunks.