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Mobile robots, operating in unconstrained indoor and outdoor environments, would benefit in many ways from perception of the human awareness around them. Knowledge of people's head pose and gaze directions would enable the robot to deduce which people are aware of the its presence, and to predict future motions of the people for better path planning. To make such inferences, requires estimating head...
This paper introduces a multilinear (tensor) framework for the analysis and synthesis of the head-related transfer function (HRTF). The HRTF is the result of the confluence of two factors, sound location and person (anatomy). Our multilinear modeling technique employs a tensor extension of the conventional matrix singular value decomposition (SVD), known as the N-mode SVD [1] which explicitly represents...
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