As go the feet ... On the estimation of attentional focus from stance

Francis Quek, Roger Ehrich, Thurmon Lockhart

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationICMI'08
Subtitle of host publicationProceedings of the 10th International Conference on Multimodal Interfaces
Pages97-104
Number of pages8
DOIs
StatePublished - 2008
Event10th International Conference on Multimodal Interfaces, ICMI'08 - Chania, Crete, Greece
Duration: Oct 20 2008Oct 22 2008

Publication series

NameICMI'08: Proceedings of the 10th International Conference on Multimodal Interfaces

Conference

Conference10th International Conference on Multimodal Interfaces, ICMI'08
CountryGreece
CityChania, Crete
Period10/20/0810/22/08

Keywords

  • Attention Estimation
  • Foot-Tracking
  • Human-Computer Interaction
  • Multimodal Interfaces
  • Stance Model

ASJC Scopus subject areas

  • Computer Science Applications
  • Human-Computer Interaction

Fingerprint Dive into the research topics of 'As go the feet ... On the estimation of attentional focus from stance'. Together they form a unique fingerprint.

Cite this