Algorithmic Correction of Systematic Error in Eye Point-of-Regard (POR) Data Analysis

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,999.00
Award Year:
2007
Program:
SBIR
Phase:
Phase I
Contract:
FA8650-07-M-6809
Award Id:
81921
Agency Tracking Number:
F071-036-2193
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
3115 Professional Drive, Ann Arbor, MI, 48104
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
099116618
Principal Investigator:
Brian Mitchell
Senior Research Scientist
(734) 973-1177
BMitchell@OptiMetrics.org
Business Contact:
Scott Singer
President
(734) 973-1177
SSinger@OptiMetrics.org
Research Institution:
n/a
Abstract
This project will develop and evaluate algorithms for correcting the systematic point-of-regard (POR) error found in the eye position data produced by modern eye-tracking hardware. The core idea of this project is the registration of graphical realities to the POR data. This registration enables the use of application-specific contextual information to correct systematic eye sensor error in static and dynamic displays. Phase I of the project will systematically develop and evaluate algorithms for POR error correction. The algorithms will detect operator behavior patterns by comparing expected application patterns to observed eye-movement data. The detected patterns will establish confident fixation locations (CFLs). The CFLs will provide the basis for the removal of systematic POR error. Phase II will further validate and implement the algorithms, categorize eye-tracking applications according to correction potential, and develop tools to support the implementation of POR correction in real-world applications.

* information listed above is at the time of submission.

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