In this research, we propose a novel human body contact detection and projection system with dynamic mesh collider. We use motion capture camera and generated human 3D models to detect the contact between user's bodies. Since it is difficult to update human mesh collider every frame, a special algorithm that divides body meshes into small pieces of polygons to do collision detection is developed and detected hit information will be dynamically projected according to its magnitude of damage. The maximum deviation of damage projection is about 7.9cm under a 240-fps optitrack motion capture system and 12.0cm under a 30-fps Kinect camera. The proposed system can be used in various sports where bodies come in contact and it allows the audience and players to understand the context easier.

Papers:

• Erwin Wu, Mistki Piekenbrock, and Hideki Koike. 2019. BitoBody: Real-time human contact detection and dynamic projection system. In Proceedings of the 10th Augmented Human International Conference 2019 (AH2019). ACM, New York, NY, USA, Article 39, 4 pages. (ACM DL)