augmented reality, healthcare, and robotics, yet much of the person's body is out of view for
a typical wearable camera. We propose a learning-based approach to estimate the camera
wearer's 3D body pose from egocentric video sequences. Our key insight is to leverage
interactions with another person---whose body pose we can directly observe---as a signal
inherently linked to the body pose of the first-person subject. We show that since interactions …