| Title: | Using Multiple Sensors for Mobile Sign Language Recognition |
| Author: | Brashear, Helene ; Starner, Thad ; Lukowicz, Paul ; Junker, Holger |
| 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 |
| Date: | 2003-10 |
| Contributor: |
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 |
| Publisher: | Georgia Institute of Technology |
| Subject: |
Formulaic language
Gesture recognition Noisy sensing Sign language recognition system Speech recognition Wearable computers |
| Files | Size | Format | View |
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| iswc2003-sign.pdf | 160.4Kb |
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