  We present IMU2Face, a gesture-driven facial reenactment system. To this end,
we combine recent advances in facial motion capture and inertial measurement
units (IMUs) to control the facial expressions of a person in a target video
based on intuitive hand gestures. IMUs are omnipresent, since modern
smart-phones, smart-watches and drones integrate such sensors, e.g., for
changing the orientation of the screen content, counting steps, or for flight
stabilization. Face tracking and reenactment is based on the state-of-the-art
real-time Face2Face facial reenactment system. Instead of transferring facial
expressions from a source to a target actor, we employ an IMU to track the hand
gestures of a source actor and use its orientation to modify the target actor's
expressions.
