Pose-on-the-Go is a full-body pose estimation system that uses sensors already found in today’s smartphones. This stands in contrast to prior systems, which require worn or external sensors. We achieve this result via extensive sensor fusion, leveraging a phones front and rear cameras, the user-facing depth camera, touchscreen, and IMU. Even still, we are missing data about a users body (e.g., angle of the elbow joint), and so we use inverse kinematics to estimate and animate probable body poses. Published at ACM CHI 2021. For more information, check out: https://karan-ahuja.com/poseotg.html