Sign language recognition with support vector machines and hidden conditional random fields: going from fingerspelling to natural articulated words

MLDM, pp. 84-98, 2013.

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Abstract:

This paper describes the authors' experiments with Support Vector Machines and Hidden Conditional Random Fields on the classification of freely articulated sign words drawn from the Brazilian Sign Language (Libras). While our previous works focused specifically on fingerspelling recognition on tightly controlled environment conditions, in...More

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