PickHits: Hitting Experience Generation with Throwing Motion via a Handheld Mechanical Device

Experiences of hitting targets cause a great feeling. We propose a system for generating this experience computationally. This system consists of external tracking cameras and a handheld device for holding and releasing a thrown object. As a proof-of-concept system, we developed the system based on two key elements: low-latency release device and constant model-based prediction. During the user’s throwing motion, the ballistic trajectory of the thrown object is predicted in real time, and when the trajectory coincides with the desired one, the object is released. We found that we can generate a computational hitting experience within a limited range space.