Machine-learning models trained on facial action units, ear position, and tail kinematics can now classify canine affective state with accuracy that rivals trained human observers. The caveats matter.
Read “Can AI Tell When Your Dog is Stressed? A Cautious Yes.”
For the first time, computer vision can track tail carriage, ear position, gaze direction, and gait at thirty frames per second — turning a casual home video into a behavioral dataset richer than anything we could capture with the human eye alone.
A walkthrough of the analytics layer that turns short home videos into a longitudinal record of your dog's cognition — and what we learned from the first thousand uploads.