Show me the way to Monte Carlo: density-based trajectory navigation
Stephen Strachan, John Williamson and Roderick Murray-Smith
In: SIGCH 2007, San Jose, USA(2007).
We demonstrate the use of uncertain prediction in a system
for pedestrian navigation via audio with a combination of
Global Positioning System data, a music player, inertial sensing,
magnetic bearing data and Monte Carlo sampling for
a density following task, where a listener’s music is modulated
according to the changing predictions of user position
with respect to a target density, in this case a trajectory or
path. We show that this system enables eyes-free navigation
around set trajectories or paths unfamiliar to the user and
demonstrate that the system may be used effectively for varying
trajectory width and context.