A linguistic feature vector for the visual interpretation of sign language
This paper presents a novel approach to sign language recognition that provides extremely high classification rates on minimal training data. Key to this approach is a 2 stage classification procedure where an initial classification stage extracts a high level description of hand shape and motion. T...
| Main Authors: | , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Springer
2004
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