Abstract
We have proposed and developed scent projectors, which deliver smells to a target person locally via free space. However, prototype systems so far had a limitation that the user is assumed to be sitting on a chair or standing still. In order to apply scent projectors to walking users, we designed a new system that can predict the users' walking trajectory and deliver smells to the user. We first used a magnetic tracker to measure the users' head position, but switched to a "range imaging 3D-camera," in order to fully take advantage of the merit of scent projectors that users are not required to wear any devices. First, the three-dimensional position of the user is detected for each frame, by applying background subtraction method to the sequence of range images. Second, the users' trajectory is predicted by estimating the velocity, based on the detected position and time stamp for each frame. Experimental results based on this method shows that the system can predict the trajectory of waking users by using range imaging camera, as well as by using magnetic tracker.
