PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

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).


ABSTRACT 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.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:User Modelling for Computer Human Interaction
Multimodal Integration
ID Code:3482
Deposited By:John Williamson
Deposited On:11 February 2008