Using Multiple Sensors for Mobile Sign Language Recognition

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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.

Helene Brashear, Thad Starner, Paul Lukowicz, Holg

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ISWC 2003 | Lab-based Sign Language | Noisy Data | Noisy Vision Data |

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Added	04 Jul 2010
Updated	04 Jul 2010
Type	Conference
Year	2003
Where	ISWC
Authors	Helene Brashear, Thad Starner, Paul Lukowicz, Holger Junker

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Using Multiple Sensors for Mobile Sign Language Recognition

ISWC 2003 | Lab-based Sign Language | Noisy Data | Noisy Vision Data |

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