Development of a pedestrian floor-projection method considering walking position and direction

In this study, we propose and develop a novel system that enables the presentation of distinct images on the forward floor surface for each pedestrian within an environment capable of large-scale floor projection. The system measures the position and moving direction of users walking in the space in real time, and continuously projects images onto the floor surface in front of them based on these measurements. This allows users to experience personalized visual content even while walking. The system can simultaneously recognize multiple users and generate and project independent images for each of them. Such capabilities are expected to support a wide range of applications, including interactive content for entertainment and art exhibitions, as well as social uses such as information provision and evacuation guidance in public spaces.