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http://hdl.handle.net/1853/28997
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| Title: | Using Multiple Sensors for Mobile Sign Language Recognition |
| Authors: | Brashear, Helene
Starner, Thad
Lukowicz, Paul
Junker, Holger
Georgia Institute of Technology. College of Computing
Georgia Institute of Technology. Graphics, Visualization and Usability Center
ETH - Swiss Federal Institute of Technology. Wearable Computing Laboratory |
| Subjects : | Formulaic language
Gesture recognition
Noisy sensing
Sign language recognition system
Speech recognition
Wearable computers |
| Issue Date: | Oct-2003 |
| Publisher: | Georgia Institute of Technology |
| Abstract: | We build upon a constrained, lab-based Sign Language
recognition system with the goal of making it a mobile assistive
technology. We examine using multiple sensors for disambiguation
of noisy data to improve recognition accuracy.
Our experiment compares the results of training a small
gesture vocabulary using noisy vision data, accelerometer
data and both data sets combined. |
| Description: | Presented at the 7th IEEE International Symposium on Wearable Computers (ISWC 2003), White Plains, New York, October 2003.
©2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| Type: | Proceedings |
| URI: | http://hdl.handle.net/1853/28997 |
| Appears in Collections: | Contextual Computing Group Publications
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