DocumentCode :
567279
Title :
Human visual augmentation using wearable glasses with multiple cameras and information fusion of human eye tracking and scene understanding
Author :
Yang, Seung-Ho ; Kim, Hyun-Woo ; Kim, Min Young
Author_Institution :
IT Coll., Kyungpook Nat. Univ., Daegu, South Korea
fYear :
2011
fDate :
8-11 March 2011
Firstpage :
287
Lastpage :
288
Abstract :
A smart wearable robot glasses system is proposed to assist human visual augmentation in daily life, providing a refined visual recognition result to users from multiple input images of the proposed system. It consists of a glasses-type wearable device with a front-view camera, eye-view camera, mounted display, earphone, and computing unit for signal processing. The scene-understanding process on the input image from the front-view camera can be computationally accelerated with the support of the eye-view camera that monitors the eye position of the user. For efficient information processing, the eye view camera catches the user´s visual intention and attention in a given situation. It is correlated to the eye viewing direction estimated from the eye-position monitoring results of eye-view camera. The proposed device can be used to augment the human visual capability in various daily life applications.
Keywords :
eye; human factors; human-robot interaction; image fusion; image sensors; object recognition; object tracking; robot vision; eye-position monitoring; eye-view camera; front-view camera; glasses-type wearable device; human eye tracking; human visual augmentation; information fusion; information processing; mounted display; scene understanding; signal processing; smart wearable robot glasses system; visual recognition; Biomedical monitoring; Cameras; Face; Face recognition; Humans; Robots; Visualization; human visual augmentation; smart glasses; wearable robot;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Human-Robot Interaction (HRI), 2011 6th ACM/IEEE International Conference on
Conference_Location :
Lausanne
ISSN :
2167-2121
Print_ISBN :
978-1-4673-4393-0
Electronic_ISBN :
2167-2121
Type :
conf
Filename :
6281341
Link To Document :
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