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As go the feet...: on the estimation of attentional focus from stance

Content Provider	ACM Digital Library
Author	Quek, Francis Lockhart, Thurmon Ehrich, Roger
Abstract	The estimation of the direction of visual attention is critical to a large number of interactive systems. This paper investigates the cross-modal relation of the position of one's feet (or standing stance) to the focus of gaze. The intuition is that while one CAN have a range of attentional foci from a particular stance, one may be MORE LIKELY to look in specific directions given an approach vector and stance. We posit that the cross-modal relationship is constrained by biomechanics and personal style. We define a stance vector that models the approach direction before stopping and the pose of a subject's feet. We present a study where the subjects' feet and approach vector are tracked. The subjects read aloud contents of note cards in 4 locations. The order of visits' to the cards were randomized. Ten subjects read 40 lines of text each, yielding 400 stance vectors and gaze directions. We divided our data into 4 sets of 300 training and 100 test vectors and trained a neural net to estimate the gaze direction given the stance vector. Our results show that 31% our gaze orientation estimates were within 5°, 51% of our estimates were within 10°, and 60% were within 15°. Given the ability to track foot position, the procedure is minimally invasive.
Starting Page	97
Ending Page	104
Page Count	8
File Format	PDF
ISBN	9781605581989
DOI	10.1145/1452392.1452412
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-10-20
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Multimodal interfaces Stance model Human-computer interaction Foot-tracking Attention estimation
Content Type	Text
Resource Type	Article

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