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Ten Holt, G.A. (author), Arendsen, J. (author), De Ridder, H. (author), Van Doorn, A.J. (author), Reinders, M.J.T. (author), Hendriks, E.A. (author)
Current automatic sign language recognition (ASLR) seldom uses perceptual knowledge about the recognition of sign language. Using such knowledge can improve ASLR because it can give an indication which elements or phases of a sign are important for its meaning. Also, the current generation of data-driven ASLR methods has shortcomings which may...
conference paper 2009
Hendriks, E.A. (author), Reinders, M.J.T. (author)
Methods commonly used for speech and sign language recognition often rely on outputs of Hidden Markov Models (HMM) or Dynamic TimeWarping (DTW) for classification, which aremerely factorized observation likelihoods. Instead, we propose to use Statistical DTW (SDTW) only for warping, while classifying the synchronized features with either of two...
conference paper 2008