Paper Info
Title
Full-time wearable headphone-type gaze detector
Abstract
A headphone-type gaze detector for a full-time wearable interface is proposed. It uses a Kalman filter to analyze multiple channels of EOG signals measured at the locations of headphone cushions to estimate gaze direction. Evaluations show that the average estimation error is 4.4® (horizontal) and 8.3® (vertical), and that the drift is suppressed to the same level as in ordinary EOG. The method is especially robust against signal anomalies. Selecting a real object from among many surrounding ones is one possible application of this headphone gaze detector.
Year
DOI
Venue
2006
10.1145/1125451.1125655
CHI Extended Abstracts
Keywords
Field
DocType
signal anomaly,average estimation error,ordinary eog,full-time wearable headphone-type,possible application,kalman filter,full-time wearable interface,headphone cushion,real object,multiple channel,wearable
Computer vision,Gaze,Computer science,Wearable computer,Communication channel,Speech recognition,Kalman filter,Artificial intelligence,Detector
Conference
ISBN
Citations 
PageRank 
1-59593-298-4
33
2.83
References 
Authors
3
2
Name
Order
Citations
PageRank
Hiroyuki Manabe19320.31
Masaaki Fukumoto2433134.97