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  4. Snap&Tell: a multi-modal wearable computer interface for browsing the environment
 
conference paper

Snap&Tell: a multi-modal wearable computer interface for browsing the environment

Keaton, Trish
•
Dominguez, Sylvia M
•
Sayed, Ali H.  
2002
Proceedings of the 6th International Symposium on Wearable Computers - ISWC
6th International Symposium on Wearable Computers - ISWC

This paper gives an overview of a multi-modal wearable computer system 'SNAP&TELL', which performs real-time gesture tracking combined with audio-based system control commands to recognize objects in the environment including outdoor landmarks. Our system uses a single camera to capture images which are then processed using several algorithms to perform segmentation based on color fingertip shape analysis, robust tracking, and invariant object recognition, in order to quickly identify the objects encircled (SNAPshot) by the user's pointing gesture. In turn, the system returns an audio narration, telling the user information concerning the object's classification, historical facts, usage, etc. This system provides enabling technology for the design of intelligent assistants to support "Web-On-The-World" applications, with potential uses such as travel assistance, business advertisement, the design of smart living and working spaces, and pervasive wireless services and internet vehicles.

  • Details
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Type
conference paper
DOI
10.1109/ISWC.2002.1167221
Author(s)
Keaton, Trish
Dominguez, Sylvia M
Sayed, Ali H.  
Date Issued

2002

Published in
Proceedings of the 6th International Symposium on Wearable Computers - ISWC
Start page

75

End page

82

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
ASL  
Event nameEvent placeEvent date
6th International Symposium on Wearable Computers - ISWC

Seattle, WA, USA

October 7-10, 2002

Available on Infoscience
December 19, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/142987
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